5 open positions available
Lead AI-driven product lifecycle and bridge business and technical teams to deliver value. | Bachelor's degree and 4+ years in product ownership or business analysis in insurance with AI/ML and Agile proficiency. | Title: AI Product Owner Company: Everest Reinsurance Company Job Category: Technology Job Description: About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world. Role Overview Everest is seeking an experienced AI Product Owner to lead the development and delivery of AI-driven solutions across key business areas, including Underwriting and Claims. This role will bridge business and technology, ensuring that AI use cases are aligned with enterprise strategy and deliver measurable business value. The ideal candidate combines strong business analysis capabilities with technical acumen and deep domain knowledge in insurance operations. Key Responsibilities Own the end-to-end lifecycle of AI products and use cases, from ideation through implementation and scaling. Partner with business stakeholders across Underwriting, Claims, and other functions to identify, prioritize, and define high-impact AI opportunities. Translate business needs into clear product requirements, user stories, and acceptance criteria. Develop and maintain product roadmaps aligned with enterprise strategic priorities. Lead backlog prioritization and sprint planning in collaboration with data science, engineering, and delivery teams. Create detailed process maps and identify opportunities for optimization through AI and automation. Ensure successful implementation and adoption of AI solutions, including change management and stakeholder communication. Monitor product performance, define KPIs, and drive continuous improvement based on insights and feedback. Collaborate closely with technical teams to ensure feasibility, scalability, and integration with existing systems. Support and enhance enterprise AI platforms (e.g., EverAssist) by aligning use cases and capabilities with business needs. Required Qualifications & Skills Bachelor’s degree in Business, Technology, Data Science, or a related field (MBA preferred). 4+ years of experience in Product Ownership, Business Analysis, or related roles. Strong domain knowledge of insurance operations, particularly Underwriting and Claims. Proven experience in implementing AI/ML or advanced analytics use cases in a business environment. Excellent business analysis skills, including requirements gathering, process mapping, and documentation. Strong understanding of Agile methodologies (Scrum, Kanban) and product management practices. Technical acumen with the ability to work closely with data scientists and engineers (familiarity with AI/ML concepts, data pipelines, APIs, etc.). Experience with tools such as JIRA, Confluence, and process mapping tools (e.g., Visio, Lucidchart). Strong analytical thinking and problem-solving skills. Excellent communication and stakeholder management skills, with the ability to influence across all levels of the organization. Preferred Qualifications Experience working with enterprise AI platforms or copilots (e.g., EverAssist or similar tools). Familiarity with data governance, model risk management, and regulatory considerations in insurance. Experience driving digital transformation initiatives in the insurance industry. Why Join Everest? Opportunity to lead cutting-edge AI initiatives in a global insurance organization. Work on high-impact use cases that transform Underwriting, Claims, and core operations. Collaborate with cross-functional teams to shape the future of AI at Everest. The base salary range for this position is $100,000 - $175,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO). #LI-Hybrid #LI-AS1 What if I don’t meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn’t align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process. Our Culture At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture. Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging. Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together. All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve. Type: Regular Time Type: Full time Primary Location: Warren, NJ Additional Locations: New York, NY Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com. Everest U.S. Privacy Notice | Everest (everestglobal.com)
Support design, delivery, and enhancement of data products by translating business needs into data solutions and ensuring data quality. | Bachelor's degree with 5-8 years experience in data analysis or product delivery, strong SQL skills, experience with data platforms, Agile practices, and preferably insurance industry exposure. | Title: Senior Analyst – Data Products Company: Everest Global Services, Inc. Job Category: Analytics Job Description: About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world. Senior Analyst – Data Products Join Everest’s Data & Analytics team as a Senior Analyst – Data Products, where you will support the design, delivery, and ongoing enhancement of Insurance data and analytics products. This role reports to and works closely with the Data Product Owner, business stakeholders, and IT teams to translate business needs into actionable data solutions, ensure data quality, and enable reliable, scalable analytics. The role combines business analysis, data analysis, and data product support responsibilities, with a strong focus on requirements, data validation, and delivery execution across enterprise data platforms. Key Responsibilities • Partner with the Data Product Owner and business stakeholders to elicit, document, and prioritize data and analytics requirements. • Translate business needs into clear user stories, data definitions, mappings, and acceptance criteria for data and technology requirements. • Perform data analysis and validation using SQL to support requirements, issue investigation, and data quality assurance. • Support the design and delivery of data pipelines, curated datasets, and data products for Insurance use cases (e.g., Underwriting, Claims, Finance). • Collaborate with technology data teams to ensure successful delivery of data products, including participation in planning, testing, and release activities. • Execute and support UAT, QA, and release management processes, ensuring solutions meet business and data quality expectations. • Investigate and resolve data issues and discrepancies, partnering with business and IT teams and supporting production issue resolution. • Drive continuous improvement in analytics tools, methodologies, and capabilities • Contribute to data quality, governance, and documentation efforts, including data definitions, lineage, and metadata management. Qualifications • Bachelor’s degree in Information Systems, Computer Science, Analytics, Business, or a related field. • 5–8 years of experience in data analysis, business analysis, or data product delivery within an enterprise environment. • Strong proficiency in SQL and data analysis, with experience validating and reconciling data across systems. • Experience working with data platforms, data warehouses, or cloud environments (e.g., Snowflake, Azure, or similar). • Hands‑on experience with requirements elicitation, user stories, and Agile delivery practices. • Exposure to data governance and catalog tools (e.g., Collibra) and understanding of data quality and lineage concepts. • Experience in the insurance industry, with understanding of data across domains such as Claims, Policy, Underwriting, or Finance, preferred. • Strong communication and problem‑solving skills, with ability to work across business and technical teams. The base salary range for this position is $134,000 - $175,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO). What if I don’t meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn’t align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process. Our Culture At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture. • Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging. • Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together. All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve. Type: Regular Time Type: Full time Primary Location: Warren, NJ Additional Locations: New York, NY Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com. Everest U.S. Privacy Notice | Everest (everestglobal.com)
Lead AI-driven product lifecycle and bridge business and technical teams to deliver value. | Bachelor's degree and 5+ years in product ownership/business analysis with AI/ML in insurance and Agile proficiency. | Title: AI Product Owner Company: Everest Reinsurance Company Job Category: Technology Job Description: About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world. Role Overview: Everest is seeking an experienced AI Product Owner to lead the development and delivery of AI-driven solutions across key business areas, including Underwriting and Claims. This role will bridge business and technology, ensuring that AI use cases are aligned with enterprise strategy and deliver measurable business value. The ideal candidate combines strong business analysis capabilities with technical acumen and deep domain knowledge in insurance operations. Key Responsibilities: Own the end-to-end lifecycle of AI products and use cases, from ideation through implementation and scaling. Partner with business stakeholders across Underwriting, Claims, and other functions to identify, prioritize, and define high-impact AI opportunities. Translate business needs into clear product requirements, user stories, and acceptance criteria. Develop and maintain product roadmaps aligned with enterprise strategic priorities. Lead backlog prioritization and sprint planning in collaboration with data science, engineering, and delivery teams. Create detailed process maps and identify opportunities for optimization through AI and automation. Ensure successful implementation and adoption of AI solutions, including change management and stakeholder communication. Monitor product performance, define KPIs, and drive continuous improvement based on insights and feedback. Collaborate closely with technical teams to ensure feasibility, scalability, and integration with existing systems. Support and enhance enterprise AI platforms (e.g., EverAssist) by aligning use cases and capabilities with business needs. Required Qualifications & Skills: Bachelor’s degree in Business, Technology, Data Science, or a related field (MBA preferred). 5+ years of experience in Product Ownership, Business Analysis, or related roles. Strong domain knowledge of insurance operations, particularly Underwriting and Claims. Proven experience in implementing AI/ML or advanced analytics use cases in a business environment. Excellent business analysis skills, including requirements gathering, process mapping, and documentation. Strong understanding of Agile methodologies (Scrum, Kanban) and product management practices. Technical acumen with the ability to work closely with data scientists and engineers (familiarity with AI/ML concepts, data pipelines, APIs, etc.). Experience with tools such as JIRA, Confluence, and process mapping tools (e.g., Visio, Lucidchart). Strong analytical thinking and problem-solving skills. Excellent communication and stakeholder management skills, with the ability to influence across all levels of the organization. Preferred Qualifications Experience working with enterprise AI platforms or copilots (e.g., EverAssist or similar tools). Familiarity with data governance, model risk management, and regulatory considerations in insurance. Experience driving digital transformation initiatives in the insurance industry. The base salary range for this position is $152,000 - $202,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO). #LI-Hybrid #LI-AS1 What if I don’t meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn’t align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process. Our Culture At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture. Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging. Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together. All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve. Type: Regular Time Type: Full time Primary Location: Warren, NJ Additional Locations: New York, NY Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com. Everest U.S. Privacy Notice | Everest (everestglobal.com) Beware of recruitment fraud Please be cautious of phishing scams involving fake Everest job postings and individuals posting as Everest representatives making phony job offers. Always verify the identity of the recruiting professionals you work with. What you should know: At Everest, your privacy, security, and safety are of utmost importance to us. Everest will never ask for payment or any financial information as part of the hiring process. All job-related written communications from our internal recruitment team will come from official email addresses that end in our company domain. EVEREST is a leading international reinsurance and insurance group with an extensive distribution network that spans five continents. With roots dating back to 1973, Everest has developed a global footprint and deep client relationships that are largely unmatched by its peers. The Company’s principal business strategies seek to leverage its strengths to optimize returns over the underwriting cycle, thereby creating value for its shareholders and business partners.
| Want to be the best? Join us in SF. We’ll cover food and housing so you can focus fully on building. You’ll ship work that goes live in production at IT companies serving millions of SMBs, and you’ll travel with us to conferences and client sites to see your AI deployed in the real world. One week you’re coding in the office, the next you’re shaking hands with IT service owners in Nashville or Orlando. Life at Everest We’re a small, fun, and intense crew. We see each other 5-6 days a week in our SF office. Every meal is all-you-can-eat DoorDash, free housing keeps SF rent from holding you back, and all you need to do is show up hungry to build and make an impact. We travel together. You’ll join us at conferences and client offices, where you’ll see your work running live in production. This isn’t an average coding internship. It’s an opportunity to watch what you built change the way 90% of SMBs in America run. How to apply: https://tally.so/r/wAgzPB (applications without filling out the form might not be considered) What you’ll do Ship real code that goes live in customer environments Build AI agents for networking, cloud infra, and security issues Travel with the team to client offices and industry conferences Work side by side with founders, shaping product and strategy in real time Who you are You think 6 days/week in the office with an ultra-ambitious crew sounds fun You’ve gone beyond localhost (had your own startup, bonus if made money) You’ve interned at a YC startup You learn fast, figure things out, and don’t wait for someone to teach you You want to own big projects, talk to customers face to face, and be part of a $100B company Perks All-you-can-eat meals every day, free housing in our fun-packed intern house in SF Weekly team dinners and monthly outings Travel nationwide to conferences and client offices with the team Direct mentorship from founders and senior engineers, and connection to the wider YC network Learn how to make deals with large businesses and how to deploy into enterprise-level production systems
Lead enterprise-wide data analytics and reporting initiatives, collaborate with IT and business teams to develop scalable data solutions, and provide actionable insights to senior stakeholders. | Minimum 10 years experience including 3 in insurance, expertise in data warehouse and visualization tools, strong SQL and ETL skills, and ability to manage multiple projects and communicate with senior leadership. | Title: Director, Data Analyst Company: Everest Global Services, Inc. Job Category: Technology Job Description: About Everest: Everest Group, Ltd. (Everest), is a leading global reinsurance and insurance provider, operating for nearly 50 years through subsidiaries in North America, Latin America, the UK & Ireland, Continental Europe and Asia Pacific regions. Throughout our history, Everest has maintained its discipline and focuses on creating long-term value through underwriting excellence and strong risk and capital management. Our strengths include extensive product and distribution capabilities, a strong balance sheet, and an innovative culture. Our most critical asset is our people. We offer dynamic training & professional development to our employees. We also offer generous tuition/continuing education reimbursement programs, mentoring opportunities, flexible work arrangements, and Colleague Resource Groups. About the Role: Everest Insurance, a member of Everest Group Ltd., is seeking an experienced Director, Data Analyst with a strong background in Property & Casualty commercial insurance. The ideal candidate will have a minimum of five years of industry experience, preferably with leading carriers specializing in commercial lines. This role requires a strategic thinker who can drive enterprise-wide reporting and analytics initiatives to support business growth and portfolio management. Role Overview The Director, Data Analyst will partner with Underwriting teams and business leaders to develop Data warehouse and reporting data assets, enabling data-driven decision-making. This role demands close collaboration with IT and other functions to navigate a fast-paced, agile environment and quickly adapt to market changes. The successful candidate will leverage analytical expertise to interpret complex data, identify trends, and communicate actionable insights to senior stakeholders. Key Responsibilities Collaborate with IT and business teams to implement scalable ETL / reporting solutions that align with Everest’s long-term strategy. Analyze business data processing problems to implement and improve systems and streamline existing processes, develop, and report on data trends, and perform data analysis. Experience working with stakeholders on projects to develop strategies and solutions, ideally related to data. Experience working with a business team to develop functional requirements and translating those into technical requirements is important. Evaluate data systems, operations, and organizational aspects of various departments, and make recommendations. Analyze large datasets and able to tell a story using statistical techniques and product knowledge to uncover trends, patterns, and actionable insights. Establish and promote Best Practices for Data analysis, Visualization, and defining KPIs (Key Performance Indicators) in collaboration with Data Governance, Operations and Technology teams. Ensure Data accuracy and integrity by validating sources and refining reporting methodologies with high degree of diligence. Develop technical requirements, mapping, and transformation specs for data engineering or analytics/reporting. Document data lineage & data quality rules to ensure integrity with data solutions and to enable effective testing. Partner with Engineering and Testing teams to help with quality build of data and reporting solutions. Qualifications Bachelor’s degree in finance, Statistics, Mathematics, Computer Science, MIS, or related fields. Minimum 10 years of experience, including 3 years in the insurance industry, with a strong understanding of financial and operational metrics. Expertise in Data Warehouse, Data Warehouse integration with other systems and Data visualization/Reporting tools (e.g., Power BI) and familiarity with Azure Cloud and Data Lake (Databricks) is a plus. Experience working with ETL tools like MS SSIS, Visual Studio, etc. Strong technical skills in SQL, Data Warehouse model and experience working with both structured and unstructured data formats (JSON, XML). Proven ability to analyze complex data, identify business impacts, and develop actionable recommendations. Excellent problem-solving and decision-making skills in a fast-paced environment. Strong communication and storytelling abilities, with the ability to present findings to senior stakeholders. Collaborative mindset, with the ability to build relationships and drive alignment across teams. Ability to manage multiple projects independently while maintaining focus on strategic goals. For CA, NY, NJ or IL: The base salary range for this position is $152,000 - $208,250 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO). What if I don’t meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn’t align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process. Our Culture At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture. Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging. Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together. All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve. Type: Regular Time Type: Full time Primary Location: Warren, NJ Additional Locations: Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com. Everest U.S. Privacy Notice | Everest (everestglobal.com) Beware of recruitment fraud Please be cautious of phishing scams involving fake Everest job postings and individuals posting as Everest representatives making phony job offers. Always verify the identity of the recruiting professionals you work with. What you should know: At Everest, your privacy, security, and safety are of utmost importance to us. Everest will never ask for payment or any financial information as part of the hiring process. All job-related written communications from our internal recruitment team will come from official email addresses that end in our company domain. EVEREST is a leading international reinsurance and insurance group with an extensive distribution network that spans five continents. With roots dating back to 1973, Everest has developed a global footprint and deep client relationships that are largely unmatched by its peers. The Company’s principal business strategies seek to leverage its strengths to optimize returns over the underwriting cycle, thereby creating value for its shareholders and business partners.
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