Tiger Analytics

Develop and optimize data pipelines, implement cloud-based data solutions, and operationalize machine learning models in a collaborative environment. | Proficiency in Python, experience with cloud data platforms, distributed data processing, DevOps practices, and MLOps frameworks. | Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI. 5+ years of professional software development experience, with strong proficiency in Python, and applying software engineering and design principles (OOP, functional programming, design patterns, testing frameworks, CI/CD fundamentals). Deep understanding of cloud-based data platforms (Azure, Databricks etc.), including cluster configuration, Spark optimization techniques and best practices. Strong understanding of distributed data processing systems (Spark, Delta tables, cloud storage layers) with hands-on experience in building data pipelines, optimizing performance, and handling large-scale datasets. Exposure to DevOps and engineering hygiene practices such as containerization (Docker), infrastructure-as-code, CI/CD pipelines, and automated testing for workflows. Proven ability to work effectively in cross-functional teams (DS, DE, Cloud Ops, Product) with a proactive, inquisitive, and go-getter mindset Ability to translate ambiguous business or analytical requirements into scalable technical solutions, with solid grounding in code quality, reliability, observability, and engineering best practices. Additional qualifications (Nice to have): Experience in operationalizing and deploying machine learning models using production-grade MLOps frameworks (MLflow, AzureML, Databricks Model Serving), with a strong understanding of model lifecycle management such as versioning, lineage, monitoring, retraining workflows, and deployment automation. Familiarity with modern data and ML architecture patterns such as feature stores, vector stores, low-latency inference pipelines. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Support trade lifecycle analysis, reference data management, and data quality controls in capital markets. | Requires 5+ years of capital markets experience, strong SQL skills, and knowledge of financial instruments and data feeds. | Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are seeking an experienced Capital Markets Business Analyst to support initiatives across Data Foundation & Analytics reference data, market data, and trade lifecycle processes. The ideal candidate will have strong capital markets domain expertise, hands-on data analysis skills, and the ability to bridge business requirements with technical delivery teams. Key Responsibilities Capital Markets & Trade Lifecycle: • Analyze and document business processes across equities, fixed income, and derivatives products. • Support end-to-end trade lifecycle analysis and process optimization. Reference Data & Master Data Management (MDM): • Contribute to golden-source reference data design and attribute hierarchies. • Support data modeling, data lineage mapping, and corporate action workflows. Data Quality & Controls: • Define data quality rules including completeness, accuracy, and timeliness. • Develop validation logic, exception handling processes, and reconciliation requirements. • Work closely with data engineering teams to implement robust control frameworks. Technical & Analytical Skills: • Use SQL for data profiling, analysis, and validation. • Perform gap analysis across systems, data models, and business processes. Requirements Gathering & Delivery: • Gather, analyze, and document business and functional requirements. • Translate business needs into clear specifications and acceptance criteria. • Drive User Acceptance Testing (UAT) and manage defect tracking and remediation. Stakeholder & Vendor Management: • Act as a liaison between business stakeholders, technology teams, and external data vendors. • Ensure consistent data definitions and alignment across teams. Communication & Problem-Solving: • Simplify complex data concepts for non-technical audiences. • Provide analytical insights and recommendations to support decision-making. Requirements • 5+ years of experience as a Business Analyst in capital markets or financial services. • Strong understanding of market data, reference data, and financial instruments. • Hands-on SQL experience for data analysis and profiling. • Strong experience with data quality and controls, defining DQ rules, validation logic, exception handling, and reconciliation requirements. • Capital markets & instrument knowledge across equities, FI, derivatives; understanding identifiers (ISIN/CUSIP/FIGI), vendor feeds (Bloomberg/Refinitiv), and trade lifecycle instrument identifiers (ISIN, CUSIP, FIGI) and vendor data feeds (Bloomberg, Refinitiv). • Excellent communication, documentation, and analytical problem-solving skills. • Experience with Bloomberg/Refinitiv data preferred. • Familiarity with MDM tools and data governance concepts is a plus. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Analyze and document business processes across capital markets, support trade lifecycle, and ensure data quality and validation. | Requires 5+ years in capital markets, strong SQL skills, and domain knowledge of financial instruments and data feeds. | Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are seeking an experienced Capital Markets Business Analyst to support initiatives across Data Foundation & Analytics reference data, market data, and trade lifecycle processes. The ideal candidate will have strong capital markets domain expertise, hands-on data analysis skills, and the ability to bridge business requirements with technical delivery teams. Key Responsibilities Capital Markets & Trade Lifecycle: • Analyze and document business processes across equities, fixed income, and derivatives products. • Support end-to-end trade lifecycle analysis and process optimization. Reference Data & Master Data Management (MDM): • Contribute to golden-source reference data design and attribute hierarchies. • Support data modeling, data lineage mapping, and corporate action workflows. Data Quality & Controls: • Define data quality rules including completeness, accuracy, and timeliness. • Develop validation logic, exception handling processes, and reconciliation requirements. • Work closely with data engineering teams to implement robust control frameworks. Technical & Analytical Skills: • Use SQL for data profiling, analysis, and validation. • Perform gap analysis across systems, data models, and business processes. Requirements Gathering & Delivery: • Gather, analyze, and document business and functional requirements. • Translate business needs into clear specifications and acceptance criteria. • Drive User Acceptance Testing (UAT) and manage defect tracking and remediation. Stakeholder & Vendor Management: • Act as a liaison between business stakeholders, technology teams, and external data vendors. • Ensure consistent data definitions and alignment across teams. Communication & Problem-Solving: • Simplify complex data concepts for non-technical audiences. • Provide analytical insights and recommendations to support decision-making. Requirements • 5+ years of experience as a Business Analyst in capital markets or financial services. • Strong understanding of market data, reference data, and financial instruments. • Hands-on SQL experience for data analysis and profiling. • Strong experience with data quality and controls, defining DQ rules, validation logic, exception handling, and reconciliation requirements. • Capital markets & instrument knowledge across equities, FI, derivatives; understanding identifiers (ISIN/CUSIP/FIGI), vendor feeds (Bloomberg/Refinitiv), and trade lifecycle instrument identifiers (ISIN, CUSIP, FIGI) and vendor data feeds (Bloomberg, Refinitiv). • Excellent communication, documentation, and analytical problem-solving skills. • Experience with Bloomberg/Refinitiv data preferred. • Familiarity with MDM tools and data governance concepts is a plus. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Analyze and optimize trade lifecycle processes, contribute to reference data design, and ensure data quality and controls. | 5+ years of experience as a Business Analyst in capital markets, strong SQL skills, and knowledge of market data and financial instruments. | Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are seeking an experienced Capital Markets Business Analyst to support initiatives across Data Foundation & Analytics reference data, market data, and trade lifecycle processes. The ideal candidate will have strong capital markets domain expertise, hands-on data analysis skills, and the ability to bridge business requirements with technical delivery teams. Key Responsibilities Capital Markets & Trade Lifecycle: • Analyze and document business processes across equities, fixed income, and derivatives products. • Support end-to-end trade lifecycle analysis and process optimization. Reference Data & Master Data Management (MDM): • Contribute to golden-source reference data design and attribute hierarchies. • Support data modeling, data lineage mapping, and corporate action workflows. Data Quality & Controls: • Define data quality rules including completeness, accuracy, and timeliness. • Develop validation logic, exception handling processes, and reconciliation requirements. • Work closely with data engineering teams to implement robust control frameworks. Technical & Analytical Skills: • Use SQL for data profiling, analysis, and validation. • Perform gap analysis across systems, data models, and business processes. Requirements Gathering & Delivery: • Gather, analyze, and document business and functional requirements. • Translate business needs into clear specifications and acceptance criteria. • Drive User Acceptance Testing (UAT) and manage defect tracking and remediation. Stakeholder & Vendor Management: • Act as a liaison between business stakeholders, technology teams, and external data vendors. • Ensure consistent data definitions and alignment across teams. Communication & Problem-Solving: • Simplify complex data concepts for non-technical audiences. • Provide analytical insights and recommendations to support decision-making. Requirements • 5+ years of experience as a Business Analyst in capital markets or financial services. • Strong understanding of market data, reference data, and financial instruments. • Hands-on SQL experience for data analysis and profiling. • Strong experience with data quality and controls, defining DQ rules, validation logic, exception handling, and reconciliation requirements. • Capital markets & instrument knowledge across equities, FI, derivatives; understanding identifiers (ISIN/CUSIP/FIGI), vendor feeds (Bloomberg/Refinitiv), and trade lifecycle instrument identifiers (ISIN, CUSIP, FIGI) and vendor data feeds (Bloomberg, Refinitiv). • Excellent communication, documentation, and analytical problem-solving skills. • Experience with Bloomberg/Refinitiv data preferred. • Familiarity with MDM tools and data governance concepts is a plus. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Lead the end-to-end development and design of Tableau dashboards, collaborating with stakeholders to understand business needs. Manage the full Tableau stack, ensuring high performance and data accuracy while providing regular updates and incorporating feedback. | The ideal candidate should have 8+ years of experience in Tableau development and full-stack BI development, with strong skills in stakeholder management and data visualization. Proficiency in SQL, ETL, and a solid understanding of Tableau server configuration is also required. | Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are seeking an experienced BI Full Stack Developer specializing in Tableau. The ideal candidate will be responsible for end-to-end Tableau dashboard development and design, managing the entire development lifecycle from requirements gathering to deployment, with a strong focus on stakeholder collaboration and management. Key Responsibilities: Lead the end-to-end development and design of Tableau dashboards, from requirement gathering to deployment. Collaborate with stakeholders to understand business needs and translate them into scalable Tableau solutions. Design intuitive, visually impactful dashboards and reports that provide actionable insights. Manage the full Tableau stack (data preparation, visualization, and user interface design). Optimize dashboard performance, ensuring high availability and fast loading times. Integrate Tableau with various data sources and ensure data accuracy and consistency. Provide regular updates to stakeholders and incorporate feedback into design improvements. Stay updated on Tableau features and best practices to implement innovative solutions. 8+ years of experience in Tableau development, design, and full-stack BI development. Expertise in end-to-end dashboard development, data visualization, and design. Strong experience in stakeholder management, with the ability to gather business requirements and provide data-driven insights. Proficiency in SQL, ETL, and data modeling concepts to support Tableau dashboards. Solid understanding of Tableau server configuration, performance tuning, and access control. Strong analytical and problem-solving skills with attention to detail. Excellent communication and collaboration skills. Preferred Qualifications: Strong experience in Supply Chain, CPG, and Retail domains. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Design, develop, and deploy AI models and solutions collaborating with cross-functional teams to drive business value. | Master's or PhD in AI/ML, 5+ years AI/ML experience, proficiency in Python and ML frameworks, cloud AI services experience. | Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems. • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions. • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes. • Develop technical documentation as well as customer-facing documentation and presentations. • Stay updated with the latest research and trends in AI and propose innovative ideas to improve our offerings. Qualifications: • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field. • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production. • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn. • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure. • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions. • Excellent communication skills and ability to convey complex technical concepts to non-technical stakeholders. Preferred Skills: • Experience with natural language processing (NLP) or computer vision applications. • Knowledge of MLOps principles and tools. • Familiarity with version control systems (e.g., Git) and Agile methodologies. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Lead end-to-end TPM implementation projects on Salesforce or Visualfabriq, ensuring alignment with business objectives, system integration, data quality, and user training. | 5+ years hands-on TPM implementation experience on Salesforce/Visualfabriq in FMCG/CPG sectors, strong system integration and data validation skills, and excellent stakeholder management. | Job Description: Trade Promotion Management Implementation SME Sales Excellence & Digital Transformation Position Overview: Seeksing a seasoned Subject Matter Expert (SME) in Trade Promotion Management (TPM) implementation with deep expertise in Salesforce and/or Visualfabriq platforms. The ideal candidate will drive the end-to-end implementation of TPM solutions, ensuring all technical and functional elements are fit-for-purpose, future-ready, and seamlessly integrated into existing business processes. Key Responsibilities • Lead and oversee the full lifecycle of TPM implementation projects on Salesforce or Visualfabriq, from initial design through to deployment and post-go-live support. • Define, prioritize, and communicate clear “jobs to be done” for the implementation program, ensuring alignment with client strategic objectives and sales execution priorities. • Proactively identify process and system gaps, inefficiencies, or risks; develop and execute actionable plans for their remediation. • Establish robust, scalable TPM models and workflows that support effective trade planning, execution, and post-event analysis. • Ensure TPM solution design aligns with business requirements, industry best practices, and client’ internal standards for system integration and data validation. • Collaborate closely with cross-functional teams including Sales, IT, Finance, and external vendors to drive adoption and maximize business value from TPM investments. • Design and execute rigorous data validation and quality assurance processes to ensure accuracy of TPM data and seamless integration with downstream systems (e.g., ERP, BI tools). • Develop and maintain comprehensive documentation including process flows, functional requirements, test cases, and training materials. • Deliver training and ongoing support to business users, acting as the SME and escalation point for TPM system/process issues. Qualifications & Experience • Bachelor’s or Master’s degree in Business, Information Systems, Computer Science, or related field. • Proven hands-on experience (5+ years) implementing Trade Promotion Management solutions, preferably on Salesforce and/or Visualfabriq, within FMCG or CPG sectors. • Deep understanding of TPM functions—planning, execution, accruals, settlement, and post-event analysis. • Solid track record in system integration, especially between TPM, ERP, and analytics platforms. • Expertise in data validation, cleansing, and quality assurance in the context of trade promotion processes. • Strong analytical, project management, and problem-solving skills; able to translate complex business requirements into practical technical solutions. • Excellent communication and stakeholder management skills; aptitude for driving cross-functional alignment and change management. • Ability to work independently in a fast-paced, global matrix environment. Preferred Skills & Competencies • Salesforce and/or Visualfabriq certification(s). • Experience with process automation, workflow tools, or custom reporting/dashboarding. • Familiarity with data governance, master data management, and compliance within CPG/FMCG environments.

Lead the design and implementation of scalable data solutions using Azure and Databricks, mentor engineering teams, and ensure delivery of high-quality data pipelines. | 8+ years of data engineering experience with 4+ years on Azure and Databricks, strong programming skills, and a relevant bachelor's degree. | Job Title: Principal Data Engineer (Azure and Databricks) Company Overview: Tiger Analytics is a global AI and analytics consulting firm dedicated to transforming data into actionable insights. With a strong focus on leveraging cutting-edge technology, we solve complex problems that impact millions worldwide. Our culture emphasizes expertise, respect, and a collaborative team-first mindset, with headquarters in Silicon Valley and offices across multiple continents. Role Overview: As a Principal Data Engineer, you will lead the design and implementation of scalable data solutions using Azure and Databricks platforms. You will play a critical role in driving data strategy, mentoring engineering teams, and ensuring the delivery of high-quality, efficient data pipelines that support advanced analytics and AI initiatives. What You'll Do: - You will architect and develop robust data pipelines and ETL processes on Azure and Databricks. - You will collaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into technical solutions. - You will lead and mentor a team of data engineers, fostering best practices and continuous learning. - You will optimize data workflows for performance, scalability, and reliability. - You will implement data governance, security, and compliance standards across data platforms. - You will stay current with emerging technologies and recommend innovative solutions to enhance data infrastructure. - You will participate in strategic planning and contribute to the overall data architecture roadmap. What You Bring: - You have 8+ years of experience in data engineering, with at least 4 years working extensively on Azure and Databricks. - You possess strong programming skills in Python, SQL, and Spark. - You have deep knowledge of cloud data platforms, data warehousing, and big data technologies. - You demonstrate experience in designing scalable ETL pipelines and data integration solutions. - You have excellent problem-solving skills and the ability to communicate complex technical concepts clearly. - You hold a Bachelor’s degree in Computer Science, Engineering, or a related field. Bonus Points If You Have: - Experience with machine learning pipelines and MLOps. - Familiarity with DevOps practices and CI/CD pipelines for data engineering. - Knowledge of data governance frameworks and regulatory compliance. - Advanced certifications in Azure or Databricks platforms. What We Offer: - We offer a dynamic and inclusive work environment that fosters innovation and professional growth. - We offer competitive salary packages and performance-based bonuses. - We offer comprehensive health, dental, and vision insurance plans. - We offer flexible work arrangements including remote work options. - We offer opportunities for continuous learning and career advancement through training and certifications. Ready to Apply? To join our team as a Principal Data Engineer, please submit your resume and a cover letter detailing your relevant experience and why you are a great fit for Tiger Analytics. We look forward to hearing from you!

Lead design and implementation of scalable data solutions on Azure and Databricks, collaborating with stakeholders and mentoring junior engineers. | 7+ years of data engineering experience with expertise in Azure and Databricks, strong programming skills, and excellent communication abilities. | Job Title: Principal Data Engineer (Azure and Databricks) Company Overview: Tiger Analytics is a global AI and analytics consulting firm dedicated to transforming data into actionable insights that drive business success. Headquartered in Silicon Valley, we pride ourselves on fostering a culture of expertise, innovation, and collaboration, impacting millions of lives worldwide through cutting-edge technology solutions. Role Overview: As a Principal Data Engineer at Tiger Analytics, you will lead the design and implementation of scalable data solutions using Azure and Databricks platforms. Your role is pivotal in enabling data-driven decision-making by building robust data pipelines and architectures that support advanced analytics and AI initiatives. What You'll Do: - You will design, develop, and maintain scalable data pipelines and architectures on Azure and Databricks. - You will collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver effective solutions. - You will lead the integration of diverse data sources ensuring data quality, reliability, and security. - You will mentor and guide junior engineers, fostering a culture of continuous learning and improvement. - You will optimize data workflows for performance and cost-efficiency. - You will implement best practices for data governance and compliance. - You will stay current with emerging technologies and recommend innovative tools and techniques. - You will contribute to strategic planning and execution of data engineering projects. What You Bring: - Minimum of 7 years of experience in data engineering with a strong focus on Azure and Databricks. - Proficiency in programming languages such as Python, Scala, or SQL. - Deep understanding of cloud data platforms, ETL processes, and big data technologies. - Experience with data modeling, data warehousing, and real-time data processing. - Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. - Excellent communication skills to effectively interact with technical and non-technical stakeholders. Bonus Points If You Have: - Experience with machine learning pipelines and AI integration. - Knowledge of DevOps practices and CI/CD pipelines for data engineering. - Familiarity with other cloud platforms like AWS or Google Cloud. - Certifications in Azure Data Engineering or related fields. What We Offer: - We offer a dynamic and inclusive work environment that values innovation and teamwork. - We offer competitive salary and comprehensive benefits including health, dental, and vision insurance. - We offer opportunities for professional growth and continuous learning. - We offer flexible work arrangements to support work-life balance. - We offer the chance to work on impactful projects with global reach. Ready to Apply? To join our team as a Principal Data Engineer, please submit your resume and cover letter through our careers page at www.tigeranalytics.com/careers. We look forward to exploring how your expertise can drive our data initiatives forward.

Lead technology consulting projects focused on government claims, managing teams, client relationships, and delivering data-driven solutions. | 8+ years in technology consulting with expertise in AI, analytics, leadership, and government claims domain. | Job Title: Senior Manager/ Associate Director - Technology Consulting (Government Claims) Company Overview: Tiger Analytics is a global leader in AI and analytics, dedicated to solving complex challenges faced by organizations worldwide. With a presence in the US, UK, India, and other key markets, we partner with Fortune 100 companies to deliver customized data-driven solutions that drive business transformation and innovation. Role Overview: As a Senior Manager/ Associate Director in Technology Consulting focused on Government Claims, you will lead strategic initiatives that leverage advanced analytics and AI to optimize government claims processes. Your role will be pivotal in guiding clients through digital transformation journeys, ensuring impactful and sustainable outcomes. What You'll Do: - You will lead cross-functional teams to design and implement technology solutions for government claims management. - You will collaborate with clients to understand their challenges and develop tailored analytics strategies. - You will oversee project delivery, ensuring timelines, budgets, and quality standards are met. - You will mentor and develop junior consultants, fostering a culture of continuous learning. - You will drive business development efforts by identifying new opportunities and building client relationships. - You will stay abreast of industry trends and emerging technologies to inform solution design. - You will present findings and recommendations to senior stakeholders, influencing decision-making. - You will ensure compliance with regulatory requirements and best practices in government claims processing. What You Bring: - Minimum 8 years of experience in technology consulting, with a focus on government claims or related sectors. - Strong expertise in AI, data analytics, and digital transformation methodologies. - Proven leadership skills with experience managing teams and complex projects. - Excellent communication and stakeholder management abilities. - Advanced degree in Computer Science, Engineering, Business, or a related field. - Proficiency with analytics tools such as Python, R, SQL, and visualization platforms. Bonus Points If You Have: - Experience working with government agencies or public sector clients. - Knowledge of regulatory frameworks governing government claims. - Certifications in project management (PMP, Agile) or data science. - Experience in business development and client engagement in consulting environments. What We Offer: - We offer a dynamic and inclusive work environment that fosters innovation and growth. - We offer competitive compensation packages with performance-based incentives. - We offer opportunities for professional development and continuous learning. - We offer flexible work arrangements to support work-life balance. - We offer the chance to work on impactful projects with leading global organizations. Ready to Apply? To join our team at Tiger Analytics, please submit your resume and a cover letter detailing your relevant experience and why you are a great fit for this role through our careers page or via email at careers@tigeranalytics.com.

Lead forecasting initiatives, develop predictive models, collaborate with cross-functional teams, mentor analysts, present to leadership, and optimize forecasting processes. | 8+ years forecasting experience in pharma, expertise in statistical modeling and analytics tools, leadership skills, strong communication, and relevant quantitative degree. | Job Title: Sr. Manager/ Associate Director - Forecasting (Pharma) Company Overview: Tiger Analytics is a global leader in AI and advanced analytics, dedicated to solving complex business challenges through innovative, data-driven solutions. With a strong presence across the US, UK, India, and Singapore, we partner with Fortune 100 companies to drive impactful decision-making and business growth. Role Overview: As the Sr. Manager/ Associate Director of Forecasting in the Pharma division, you will lead forecasting initiatives that directly influence strategic planning and operational efficiency. Your expertise will help shape predictive models and analytics frameworks that support critical business decisions in the pharmaceutical sector. What You'll Do: - You will lead the development and implementation of advanced forecasting models tailored for pharmaceutical products. - You will collaborate with cross-functional teams including sales, marketing, and supply chain to gather data and insights. - You will analyze market trends and historical data to improve forecast accuracy and reliability. - You will mentor and guide a team of analysts to enhance their technical and analytical skills. - You will present forecasting results and strategic recommendations to senior leadership. - You will drive continuous improvement initiatives to optimize forecasting processes and tools. - You will ensure compliance with industry regulations and data governance standards. - You will manage stakeholder expectations and communicate project progress effectively. What You Bring: - You have 8+ years of experience in forecasting, preferably within the pharmaceutical industry. - You possess strong expertise in statistical modeling, machine learning, and data analytics tools such as Python, R, or SAS. - You have proven leadership experience managing teams and driving complex projects. - You demonstrate excellent communication skills, capable of translating technical insights to non-technical stakeholders. - You hold a Bachelor’s or Master’s degree in a quantitative field such as Statistics, Mathematics, Data Science, or related disciplines. Bonus Points If You Have: - Experience with AI-driven forecasting platforms and cloud-based analytics solutions. - Knowledge of pharmaceutical market dynamics and regulatory environments. - Advanced degree (PhD or MBA) with a focus on analytics or pharmaceutical sciences. - Experience working in a global, multicultural environment. What We Offer: - We offer a dynamic and inclusive work environment that fosters innovation and professional growth. - We offer competitive salary packages and performance-based bonuses. - We offer comprehensive health benefits including medical, dental, and vision coverage. - We offer flexible work arrangements to support work-life balance. - We offer opportunities for continuous learning and career advancement. Ready to Apply? To join our team and make a significant impact in pharmaceutical forecasting, please submit your resume and cover letter through our careers page at www.tigeranalytics.com/careers.

Lead technology consulting projects focused on government claims, managing teams, client relationships, and delivering data-driven solutions. | 8+ years in technology consulting with expertise in AI, analytics, leadership, and government claims domain. | Job Title: Senior Manager/ Associate Director - Technology Consulting (Government Claims) Company Overview: Tiger Analytics is a global leader in AI and analytics, dedicated to solving complex challenges faced by organizations worldwide. With a presence in the US, UK, India, and other key markets, we partner with Fortune 100 companies to deliver customized data-driven solutions that drive business transformation and innovation. Role Overview: As a Senior Manager/ Associate Director in Technology Consulting focused on Government Claims, you will lead strategic initiatives that leverage advanced analytics and AI to optimize government claims processes. Your role will be pivotal in guiding clients through digital transformation journeys, ensuring impactful and sustainable outcomes. What You'll Do: - You will lead cross-functional teams to design and implement technology solutions for government claims management. - You will collaborate with clients to understand their challenges and develop tailored analytics strategies. - You will oversee project delivery, ensuring timelines, budgets, and quality standards are met. - You will mentor and develop junior consultants, fostering a culture of continuous learning. - You will drive business development efforts by identifying new opportunities and building client relationships. - You will stay abreast of industry trends and emerging technologies to inform solution design. - You will present findings and recommendations to senior stakeholders, influencing decision-making. - You will ensure compliance with regulatory requirements and best practices in government claims processing. What You Bring: - Minimum 8 years of experience in technology consulting, with a focus on government claims or related sectors. - Strong expertise in AI, data analytics, and digital transformation methodologies. - Proven leadership skills with experience managing teams and complex projects. - Excellent communication and stakeholder management abilities. - Advanced degree in Computer Science, Engineering, Business, or a related field. - Proficiency with analytics tools such as Python, R, SQL, and visualization platforms. Bonus Points If You Have: - Experience working with government agencies or public sector clients. - Knowledge of regulatory frameworks governing government claims. - Certifications in project management (PMP, Agile) or data science. - Experience in business development and client engagement in consulting environments. What We Offer: - We offer a dynamic and inclusive work environment that fosters innovation and growth. - We offer competitive compensation packages with performance-based incentives. - We offer opportunities for professional development and continuous learning. - We offer flexible work arrangements to support work-life balance. - We offer the chance to work on impactful projects with leading global organizations. Ready to Apply? To join our team at Tiger Analytics, please submit your resume and a cover letter detailing your relevant experience and why you are a great fit for this role through our careers page or via email at careers@tigeranalytics.com.

Lead technology consulting projects focused on government claims by managing teams, client relationships, and delivering analytics-driven solutions. | 8+ years in technology consulting with expertise in AI, analytics, client management, and project leadership, preferably in government or public sector. | Job Title: Senior Manager/ Associate Director - Technology Consulting (Government Claims) Company Overview: Tiger Analytics is a global leader in AI and analytics, dedicated to solving complex challenges faced by organizations worldwide. With a presence in the US, UK, India, and other key markets, we partner with Fortune 100 companies to deliver customized data-driven solutions that drive business transformation and innovation. Role Overview: As a Senior Manager/ Associate Director in Technology Consulting focused on Government Claims, you will lead strategic initiatives that leverage advanced analytics and AI to optimize claims processing and improve operational efficiency. You will work closely with government clients to understand their needs and deliver impactful technology solutions. What You'll Do: - You will lead cross-functional teams to design and implement analytics-driven solutions for government claims processing. - You will manage client relationships, ensuring alignment of project goals with business objectives. - You will develop and present strategic recommendations to senior stakeholders. - You will oversee project delivery, ensuring timelines, budgets, and quality standards are met. - You will mentor and guide junior team members to foster professional growth. - You will collaborate with data scientists and engineers to translate business problems into technical solutions. - You will stay abreast of industry trends and emerging technologies to inform consulting strategies. - You will contribute to business development efforts by identifying new opportunities within the government sector. What You Bring: - You bring 8+ years of experience in technology consulting, preferably with a focus on government claims or public sector projects. - You have strong expertise in AI, machine learning, and advanced analytics techniques. - You possess excellent client management and communication skills. - You have proven experience leading large, complex projects and cross-functional teams. - You are proficient in data analytics tools such as Python, R, or SQL. - You hold a relevant degree in Computer Science, Engineering, or a related field. Bonus Points If You Have: - Experience working directly with government agencies or in the public sector. - Knowledge of regulatory and compliance requirements related to government claims. - Familiarity with cloud platforms like AWS, Azure, or Google Cloud. - Certifications in project management or data science. What We Offer: - We offer a dynamic and inclusive work environment that fosters innovation and collaboration. - We offer competitive compensation and comprehensive benefits packages. - We offer opportunities for professional development and career advancement. - We offer flexible work arrangements to support work-life balance. - We offer the chance to work on impactful projects with leading global clients. Ready to Apply? To join our team at Tiger Analytics, please submit your resume and a cover letter detailing your relevant experience and why you are a great fit for this role through our careers page or via email at careers@tigeranalytics.com.

Lead the design, development, and maintenance of scalable data pipelines and architectures on Azure, collaborating with cross-functional teams to deliver secure and efficient data solutions. | 5+ years of data engineering experience with strong expertise in Azure cloud services, programming skills in Python and SQL, and knowledge of data governance and security standards. | Job Title: Lead Data Engineer (Azure) Company Overview: Tiger Analytics is a global leader in AI and analytics, dedicated to solving complex business challenges through innovative data-driven solutions. With a presence across the US, UK, and India, we partner with Fortune 100 companies to deliver bespoke technology and analytics services that drive impactful outcomes. Role Overview: As a Lead Data Engineer specializing in Azure, you will spearhead the design and implementation of scalable data pipelines and architectures. Your role is critical in enabling data-driven decision-making by ensuring robust, efficient, and secure data infrastructure. What You'll Do: - You will lead the development and maintenance of end-to-end data pipelines on Azure platforms. - You will collaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into technical solutions. - You will design and optimize data storage solutions using Azure Data Lake, Azure SQL, and other cloud services. - You will implement data governance, security, and compliance best practices. - You will mentor and guide junior engineers to foster a culture of continuous learning and excellence. - You will monitor and troubleshoot data workflows to ensure high availability and performance. - You will stay updated with the latest Azure technologies and industry trends to drive innovation. - You will contribute to architectural decisions and strategic planning for data infrastructure. What You Bring: - 5+ years of experience in data engineering with a strong focus on Azure cloud services. - Proficiency in Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Data Lake. - Strong programming skills in Python, SQL, and experience with ETL frameworks. - Experience with data modeling, data warehousing, and big data technologies. - Solid understanding of data governance, security, and compliance standards. - Excellent problem-solving skills and ability to work collaboratively in cross-functional teams. Bonus Points If You Have: - Experience with machine learning pipelines and integration with Azure ML. - Knowledge of containerization technologies like Docker and Kubernetes. - Familiarity with DevOps practices and CI/CD pipelines for data engineering. - Prior experience working in a consulting or client-facing role. What We Offer: - We offer competitive salary and performance-based bonuses. - We offer comprehensive health, dental, and vision insurance plans. - We offer flexible work arrangements including remote work options. - We offer opportunities for professional development and continuous learning. - We offer a collaborative and inclusive work environment that values innovation. Ready to Apply? To join our dynamic team at Tiger Analytics, please submit your resume and a cover letter detailing your experience with Azure data engineering to our careers portal at www.tigeranalytics.com/careers.

Lead design and implementation of scalable data solutions on Azure and Databricks, collaborating with teams to deliver high-quality data pipelines supporting analytics and AI. | 7+ years of data engineering experience with expertise in Azure and Databricks, strong programming skills in SQL, Python, and Spark, and a relevant Bachelor’s degree. | Job Title: Principal Data Engineer (Azure and Databricks) Company Overview: Tiger Analytics is a global AI and analytics consulting firm dedicated to transforming data into actionable insights. Headquartered in Silicon Valley, we serve clients across various industries, leveraging cutting-edge technology to solve complex business challenges. Our culture emphasizes expertise, collaboration, and a team-first mindset, fostering innovation and growth. Role Overview: As a Principal Data Engineer, you will lead the design and implementation of scalable data solutions using Azure and Databricks platforms. You will collaborate with cross-functional teams to drive data strategy and ensure the delivery of high-quality, efficient data pipelines that support advanced analytics and AI initiatives. What You'll Do: - You will design, develop, and maintain robust data pipelines and architectures on Azure and Databricks. - You will lead data engineering projects from conception through deployment, ensuring best practices and scalability. - You will collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions. - You will optimize data workflows for performance, reliability, and cost-efficiency. - You will mentor and guide junior engineers, fostering a culture of continuous learning and improvement. - You will implement data governance and security standards to protect sensitive information. - You will stay current with emerging technologies and recommend innovative tools and approaches. What You Bring: - You have 7+ years of experience in data engineering, with a strong focus on Azure and Databricks platforms. - You possess advanced skills in SQL, Python, and Spark for data processing and transformation. - You have hands-on experience with cloud data services such as Azure Data Factory, Azure Synapse, and Azure Blob Storage. - You demonstrate expertise in building scalable, high-performance data pipelines and architectures. - You have strong problem-solving skills and the ability to communicate complex technical concepts clearly. - You hold a Bachelor’s degree in Computer Science, Engineering, or a related field. Bonus Points If You Have: - Experience with machine learning pipelines and integration with data engineering workflows. - Knowledge of containerization technologies like Docker and Kubernetes. - Familiarity with CI/CD processes and infrastructure as code (IaC) tools. - Prior experience in a consulting environment or working with diverse client teams. What We Offer: - We offer competitive salary and comprehensive benefits including health, dental, and vision insurance. - We offer flexible work arrangements to support work-life balance. - We offer opportunities for professional development and continuous learning. - We offer a collaborative and inclusive work environment that values innovation. - We offer the chance to work on impactful projects that influence millions globally. Ready to Apply? To join our dynamic team at Tiger Analytics, please submit your resume and a cover letter detailing your experience with Azure and Databricks to our careers portal at www.tigeranalytics.com/careers.

Lead the design, development, and deployment of scalable data engineering solutions on Azure, mentor engineering teams, and collaborate with stakeholders to deliver high-quality data pipelines. | 7+ years in data engineering with 3+ years on Azure, strong programming skills, big data technology experience, and proven leadership abilities. | Job Title: Lead Data Engineer (Azure) Company Overview: Tiger Analytics is a global leader in AI and analytics, dedicated to solving complex business challenges through innovative data-driven solutions. With a presence in the US, UK, India, and other key markets, we partner with Fortune 100 companies to deliver bespoke technology and analytics services that drive measurable impact. Role Overview: As a Lead Data Engineer specializing in Azure, you will spearhead the design, development, and deployment of scalable data solutions that empower our clients to harness the full potential of their data assets. You will lead a team of engineers, collaborate with cross-functional stakeholders, and ensure the delivery of high-quality, efficient data pipelines and architectures. What You'll Do: - You will lead the end-to-end development of data engineering projects on Azure cloud platforms. - You will design and implement scalable, secure, and robust data pipelines using Azure Data Factory, Databricks, and other Azure services. - You will mentor and guide junior data engineers, fostering a culture of continuous learning and innovation. - You will collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions. - You will optimize data workflows for performance, reliability, and cost-efficiency. - You will establish best practices for data governance, quality, and security within the engineering team. - You will stay current with emerging technologies and industry trends to drive innovation. - You will contribute to architectural decisions and strategic planning for data infrastructure. What You Bring: - 7+ years of experience in data engineering, with at least 3 years focused on Azure cloud technologies. - Proficiency in Azure Data Factory, Azure Databricks, Azure SQL Database, and related Azure services. - Strong programming skills in Python, Scala, or SQL. - Experience with big data technologies such as Spark, Hadoop, or Kafka. - Proven leadership experience managing and mentoring engineering teams. - Excellent problem-solving, communication, and collaboration skills. Bonus Points If You Have: - Experience with machine learning pipelines and MLOps on Azure. - Knowledge of DevOps practices and CI/CD pipelines for data engineering. - Familiarity with data governance frameworks and compliance standards. - Certifications in Azure Data Engineering or related fields. What We Offer: - We offer competitive salary and performance-based bonuses. - We offer comprehensive health, dental, and vision insurance plans. - We offer flexible work arrangements including remote work options. - We offer opportunities for professional development and continuous learning. - We offer a collaborative and inclusive work environment that values innovation. Ready to Apply? To join our dynamic team at Tiger Analytics, please submit your resume and a cover letter detailing your experience with Azure data engineering to our careers portal at www.tigeranalytics.com/careers. We look forward to exploring how you can contribute to our mission of transforming data into actionable insights.

Lead the design and implementation of scalable data solutions on Azure and Databricks, collaborating with stakeholders and mentoring junior engineers. | 7+ years of data engineering experience with expertise in Azure and Databricks, strong programming skills, and excellent communication abilities. | Job Title: Principal Data Engineer (Azure and Databricks) Company Overview: Tiger Analytics is a global AI and analytics consulting firm dedicated to transforming data into actionable insights that drive business success. Headquartered in Silicon Valley, we pride ourselves on a culture of expertise, innovation, and collaboration, serving clients across various industries worldwide. Role Overview: As a Principal Data Engineer, you will lead the design and implementation of scalable data solutions using Azure and Databricks platforms. Your role is pivotal in enabling data-driven decision-making by building robust data pipelines and architectures that support advanced analytics and AI initiatives. What You'll Do: - You will design, develop, and maintain scalable data pipelines and architectures on Azure and Databricks. - You will collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions. - You will lead the integration of diverse data sources ensuring data quality, reliability, and security. - You will mentor and guide junior engineers, fostering a culture of continuous learning and improvement. - You will optimize data workflows for performance and cost-efficiency. - You will implement best practices for data governance and compliance. - You will stay current with emerging technologies and recommend innovative solutions. - You will contribute to strategic planning and roadmap development for data engineering initiatives. What You Bring: - 7+ years of experience in data engineering with a strong focus on Azure cloud services and Databricks. - Proficiency in programming languages such as Python, Scala, or SQL. - Deep understanding of data modeling, ETL processes, and big data technologies. - Experience with data warehousing solutions and real-time data processing. - Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. - Excellent communication skills to effectively interact with technical and non-technical stakeholders. Bonus Points If You Have: - Experience with machine learning pipelines and AI integration. - Knowledge of DevOps practices and CI/CD pipelines for data engineering. - Familiarity with other cloud platforms like AWS or GCP. - Certifications in Azure Data Engineering or related fields. What We Offer: - We offer a dynamic and inclusive work environment that fosters innovation and growth. - We offer competitive salary and comprehensive benefits including health, dental, and vision insurance. - We offer opportunities for professional development and continuous learning. - We offer flexible work arrangements to support work-life balance. - We offer the chance to work on cutting-edge projects impacting global clients. Ready to Apply? If you are passionate about leveraging data to drive impactful business outcomes and meet the qualifications above, please submit your resume and cover letter to our careers page at www.tigeranalytics.com/careers.

Lead the design and implementation of scalable data solutions on Azure and Databricks, collaborating with stakeholders and mentoring junior engineers. | 7+ years of data engineering experience with expertise in Azure and Databricks, strong programming skills, and leadership capabilities. | Job Title: Principal Data Engineer (Azure and Databricks) Company Overview: Tiger Analytics is a global AI and analytics consulting firm dedicated to transforming data into actionable insights. Headquartered in Silicon Valley, we serve clients across various industries, leveraging cutting-edge technology to solve complex business challenges. Our culture emphasizes expertise, respect, and a collaborative team-first mindset. Role Overview: As a Principal Data Engineer, you will lead the design and implementation of scalable data solutions using Azure and Databricks platforms. You will play a critical role in driving data strategy and enabling data-driven decision-making for our clients. What You'll Do: - You will design, develop, and maintain robust data pipelines and architectures on Azure and Databricks. - You will collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions. - You will lead the integration of diverse data sources ensuring data quality and consistency. - You will mentor and guide junior engineers, fostering a culture of continuous learning and innovation. - You will optimize data workflows for performance and cost-efficiency. - You will implement best practices for data security and compliance. - You will contribute to the development of data governance frameworks. - You will stay current with emerging technologies and recommend improvements. What You Bring: - 7+ years of experience in data engineering with a strong focus on Azure and Databricks. - Proficiency in programming languages such as Python, Scala, or SQL. - Deep understanding of cloud data platforms, ETL processes, and big data technologies. - Experience with data modeling, data warehousing, and real-time data processing. - Strong problem-solving skills and ability to work in a fast-paced environment. - Excellent communication and leadership abilities. Bonus Points If You Have: - Experience with machine learning pipelines and AI integration. - Knowledge of DevOps practices and CI/CD pipelines. - Familiarity with other cloud platforms like AWS or GCP. - Certifications in Azure Data Engineering or related fields. What We Offer: - We offer competitive salary and performance-based bonuses. - We offer comprehensive health, dental, and vision insurance. - We offer flexible work arrangements including remote work options. - We offer opportunities for professional development and continuous learning. - We offer a collaborative and inclusive work environment. Ready to Apply? Please submit your resume and a cover letter detailing your experience with Azure and Databricks to our careers portal at www.tigeranalytics.com/careers.

Lead and manage government claims consulting projects using AI and analytics to optimize claims processing and improve outcomes. | 8+ years in technology consulting with expertise in AI, machine learning, government claims, leadership, and communication skills. | Job Title: Senior Manager/ Associate Director - Technology Consulting (Government Claims) Company Overview: Tiger Analytics is a global leader in AI and analytics, dedicated to solving complex challenges faced by organizations worldwide. With a presence in the US, UK, India, and other key markets, we partner with Fortune 100 companies to deliver customized data-driven solutions that drive business transformation and innovation. Role Overview: As a Senior Manager/ Associate Director in Technology Consulting focused on Government Claims, you will lead strategic initiatives that leverage advanced analytics and AI to optimize claims processing and improve outcomes. You will collaborate with cross-functional teams and government clients to design and implement impactful technology solutions. What You'll Do: - You will lead and manage large-scale government claims consulting projects from inception to delivery. - You will develop and implement AI-driven analytics models to enhance claims accuracy and efficiency. - You will collaborate with clients to understand their challenges and tailor technology solutions accordingly. - You will mentor and guide junior team members to foster professional growth and technical excellence. - You will drive business development efforts by identifying new opportunities and contributing to proposal development. - You will ensure compliance with government regulations and data security standards throughout project execution. - You will present findings and recommendations to senior stakeholders and influence decision-making. - You will stay abreast of industry trends and emerging technologies to maintain Tiger Analytics’ competitive edge. What You Bring: - Minimum of 8 years of experience in technology consulting, preferably with a focus on government claims or public sector projects. - Strong expertise in AI, machine learning, and advanced analytics techniques. - Proven leadership skills with experience managing cross-functional teams and complex projects. - Excellent communication and stakeholder management abilities. - Deep understanding of government claims processes and regulatory environments. - Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field; advanced degree preferred. Bonus Points If You Have: - Experience working directly with government agencies or public sector clients. - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. - Certifications in project management (PMP, Agile) or data science. - Prior experience in business development or client relationship management. What We Offer: - We offer a dynamic and inclusive work environment that fosters innovation and collaboration. - We offer competitive compensation and comprehensive benefits including health, dental, and vision insurance. - We offer opportunities for professional development and continuous learning. - We offer flexible work arrangements to support work-life balance. - We offer the chance to work on impactful projects that make a difference in government operations. Ready to Apply? If you are passionate about leveraging technology to transform government claims processes and meet the qualifications above, please submit your resume and cover letter through our careers page at www.tigeranalytics.com/careers. We look forward to hearing from you!

Lead and manage government claims consulting projects using AI and analytics to optimize claims processing and improve outcomes. | 8+ years in technology consulting with expertise in AI, machine learning, government claims, leadership, and communication skills. | Job Title: Senior Manager/ Associate Director - Technology Consulting (Government Claims) Company Overview: Tiger Analytics is a global leader in AI and analytics, dedicated to solving complex challenges faced by organizations worldwide. With a presence in the US, UK, India, and other key markets, we partner with Fortune 100 companies to deliver customized data-driven solutions that drive business transformation and innovation. Role Overview: As a Senior Manager/ Associate Director in Technology Consulting focused on Government Claims, you will lead strategic initiatives that leverage advanced analytics and AI to optimize claims processing and improve outcomes. You will collaborate with cross-functional teams and government clients to design and implement impactful technology solutions. What You'll Do: - You will lead and manage large-scale government claims consulting projects from inception to delivery. - You will develop and implement AI-driven analytics models to enhance claims accuracy and efficiency. - You will collaborate with clients to understand their challenges and tailor technology solutions accordingly. - You will mentor and guide junior team members to foster professional growth and technical excellence. - You will drive business development efforts by identifying new opportunities and contributing to proposal development. - You will ensure compliance with government regulations and data security standards throughout project execution. - You will present findings and recommendations to senior stakeholders and influence decision-making. - You will stay abreast of industry trends and emerging technologies to maintain Tiger Analytics’ competitive edge. What You Bring: - Minimum of 8 years of experience in technology consulting, preferably with a focus on government claims or public sector projects. - Strong expertise in AI, machine learning, and advanced analytics techniques. - Proven leadership skills with experience managing cross-functional teams and complex projects. - Excellent communication and stakeholder management abilities. - Deep understanding of government claims processes and regulatory environments. - Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field; advanced degree preferred. Bonus Points If You Have: - Experience working directly with government agencies or public sector clients. - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. - Certifications in project management (PMP, Agile) or data science. - Prior experience in business development or client relationship management. What We Offer: - We offer a dynamic and inclusive work environment that fosters innovation and collaboration. - We offer competitive compensation and comprehensive benefits including health, dental, and vision insurance. - We offer opportunities for professional development and continuous learning. - We offer flexible work arrangements to support work-life balance. - We offer the chance to work on impactful projects that make a difference in government operations. Ready to Apply? If you are passionate about leveraging technology to transform government claims processes and meet the qualifications above, please submit your resume and cover letter through our careers page at www.tigeranalytics.com/careers. We look forward to hearing from you!