EXL

You would lead the design, implementation, and maintenance of pricing tools, coordinate cross-functional projects, set technical standards, and mentor junior developers. | The role requires at least five years of Python experience plus Git, CI/CD, Linux, and Agile proficiency; cloud, containerization, and insurance pricing or data science experience are preferred. | * Serve as a Senior Developer on Pricing Tools initiatives – drive the design, build and implementation of complex tools that improve the ease of bringing pricing programs to market * Learn the Insurance Pricing domain in depth – create effective tools that solve root business problems * Improve and automate processes – speed up product deployment and increase the reliability of bringing pricing programs to market * Architect for resiliency and sustainability – design tools and lead by example using Python, application development and cloud best practices * Lead complex projects – coordinate work across team members, partner teams and stakeholders * Establish and promote technical standards – including coding practices, testing strategies, documentation and maintainability expectations * Research and recommend – new technologies, development practices and process improvements that support current and future Pricing Tool needs * Identify gaps and blockers – automation gaps, delivery blockers, technical debt and opportunities to improve team effectiveness * Mentor and guide – provide technical guidance to more junior analysts and developers, including code review and support on complex design or implementation challenges RESPONSIBILITIES * 5+ years of Python experience * Git, GitHub and CI/CD experience required; GitHub Actions experience preferred * Linux and bash experience required * Experience in Agile development required * Strongly preferred: user-facing Streamlit or Flask app experience * Strongly preferred: Docker experience * Preferred: experience developing via EC2 or other cloud compute * Preferred: experience deploying EKS or Kubernetes apps * Preferred: Insurance Pricing or Compliance experience * Preferred: experience on a Data Science or Analytics project   QUALIFICATIONS Preferred: experience on a Data Science or Analytics project

Lead analysts and developers, set reporting strategy, deliver executive dashboards, and integrate generative AI into reporting workflows. | Requires a bachelor's degree, at least seven years of BI or analytics experience, two years in leadership, SQL and BI-platform proficiency, and practical GenAI or LLM experience. | Work Location: United States Work Mode : Remote / Potential hire can work from Connecticut / Texas or from Pittsburgh Pay Range :$90K-$120K /Yr Base + Annual Bonus The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits Job Overview: We are hiring a BI & Analytics Manager to own how the business turns data into decisions. You will lead a team of analysts and BI developers, set the reporting strategy, and bring Generative AI into modern reporting, from natural-language querying to auto-generated narrative insights. Responsibilities BI and reporting strategy Define and own the BI roadmap, aligned to business priorities and KPIs. Standardize metrics and reporting so every team works from one trusted version of the numbers. Decide what to build, buy or retire across dashboards, semantic models and reports. Analytics and report delivery Oversee design and delivery of executive dashboards, operational reports and self-service analytics. Translate business questions into clear analysis, recommendations and data stories for senior leaders. Ensure reports are accurate, timely, documented and easy to use. GenAI-enabled modern reporting Identify and pilot GenAI use cases in reporting: natural-language queries, automated commentary, anomaly explanations and report summarization. Evaluate AI features in BI platforms and LLM-based tools; run proofs of concept and scale what works. Set guardrails for responsible AI use, including data privacy, accuracy checks and human review of AI-generated insights. Train analysts and business users to use AI-assisted reporting effectively. Team leadership Hire, coach and develop analysts and BI developers; set goals and run performance reviews. Prioritize the team's backlog and manage delivery against deadlines and quality standards. Build a culture of curiosity, data literacy and continuous improvement. Stakeholder partnership and governance Act as the main point of contact for business leaders on reporting and analytics needs. Work with data engineering on data models, pipelines and quality. Enforce data governance: access controls, definitions, lineage and compliance requirements. Qualifications Required qualifications Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Business or a related field (or equivalent experience). 7+ years in BI, analytics or reporting, including 2+ years leading or managing a team. Hands-on expertise with at least one major BI platform (Power BI, Tableau, Looker or Qlik), including data modeling and dashboard design. Strong SQL skills and a solid grasp of data warehousing concepts (star schema, ETL/ELT, semantic layers). Proven record of designing and delivering executive-level reports and analytics that drove business decisions. Working knowledge of how GenAI and LLMs apply to reporting and analytics, with practical exposure through a pilot, project or tool adoption. Excellent communication: able to explain complex data to non-technical executives. Preferred qualifications Master's degree or MBA. Experience with AI features in BI tools (for example Copilot in Power BI, Tableau AI, Gemini in Looker) or with LLM APIs for reporting use cases. Familiarity with prompt design, retrieval-augmented generation (RAG) and evaluating AI output quality. Experience with cloud data platforms such as Snowflake, Databricks, BigQuery, Azure Synapse or Microsoft Fabric. Python or R for analysis and automation. Knowledge of data governance, privacy and responsible-AI practices. Relevant certifications (for example Microsoft PL-300, Tableau Certified, or a cloud data certification). Skills and competencies Leadership: builds and motivates teams, delegates well, gives clear feedback. Business acumen: links metrics to revenue, cost and customer outcomes. Data storytelling: turns analysis into a clear message and a recommended action. Stakeholder management: negotiates priorities and sets expectations with senior leaders. Innovation mindset: tests new tools such as GenAI with a clear view of value and risk. Rigor: insists on data quality, reconciliation and documented definitions.

Build, deploy, and support secure, scalable web applications collaboratively across teams. | 6-9 years full-stack development with .NET/Python and React, bachelor's or master's degree, production-first mindset. | Are you a hands-on engineer who owns systems end-to-end, from front-end UI through service layers to backend data and analytics?    As a Full Stack Product Engineer at EXL, Payment Services, you'll independently build, deploy, and support secure, scalable web applications that solve critical challenges in the US healthcare payment space. You'll collaborate across development, product, data, and client teams to deliver high-quality software and rock-solid production performance.   *Base Pay Range: $60,100 - $98,700 For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com [http://www.exlservice.com/]. EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers. EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.