VP, Head of AI Product Management

Overview Join to apply for the VP, Head of AI Product Management role at Reinsurance Group of America, Incorporated. RGA is a purpose-driven organization working to solve todays challenges through innovation and collaboration. A Fortune 200 Company and listed among its Worlds Most Admired Companies, were the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. Position Overview Americas Data Solutions is seeking an experienced and strategic AI product management leader to join our team. This role is pivotal in defining and aligning AI driven solutions across technical teams and internal stakeholders. The role will be responsible for the entire product lifecycle of our AI solutions, from initial ideation and requirement gathering to the successful delivery and adoption of these internal solutions. The ideal candidate will have a strong product management background, a deep understanding of artificial intelligence and machine learning concepts, and a passion for creating impactful, user-centric AI products that deliver meaningful efficiencies and insights. Responsibilities Product Strategy & Vision: Partner with cross-functional leaders and domain experts to deeply understand evolving business priorities and operational complexities. Define and champion a forward-looking product vision, strategy, and multi-year roadmap for AI initiatives that directly support strategic enterprise goals, ensuring alignment with the organizations long-term growth and transformation objectives. Strategic Integration & Synergy: Leverage expert knowledge and enterprise perspective to proactively identify, architect, and scale an integrated ecosystem of AI solutions. Drive approaches that enable intelligent collaboration between systems, maximizing cross-business synergies and delivering organizational impact through enhanced workflow acceleration and operational efficiency. AI Governance & Compliance: Establish, lead, and continuously evolve a robust AI governance framework, integrating best practices and regulatory standards for ethical, responsible, and transparent AI development. Provide guidance on risk assessment, regulatory compliance, and policy formulation, articulating trade-offs and mitigation strategies for AI deployment across diverse use cases. Competitive & Market Analysis: Conduct ongoing market and competitor analysis, synthesizing industry trends, emerging technologies, and vendor capabilities. Translate strategic insights into actionable recommendations, influencing the product roadmap and positioning the organization as a leader in AI innovation. Requirements Gathering & Definition: Lead and mentor cross-functional teams through rigorous requirements elicitation and analysis. Transform complex business challenges into clear, prioritized, and actionable product requirements, user stories, and technical specifications that guide the data science team toward high-impact deliverables. Product Development & Execution: Provide thought leadership and oversight throughout the AI product lifecycle. Collaborate with data scientists, engineers, and design experts to ensure agile, iterative development, prioritizing features and optimizing the product backlog in alignment with objectives and stakeholder expectations. Stakeholder Management & Communication: Serve as a strategic advisor and primary point of contact for senior stakeholders on AI solution development. Deliver clear communications regarding product strategy, roadmaps, project milestones, and risk management, fostering transparency, alignment, and executive buy-in across teams. Solution Delivery & Change Management: Architect and execute comprehensive go-to-market plans for new AI solutions, including training programs, onboarding sessions, and change management initiatives. Champion seamless integration and adoption of AI tools, driving measurable business value and user engagement. Prompt Engineering & Optimization: Collaborate with stakeholders and data science leaders to conceptualize, test, and refine prompts for generative AI applications. Ensure prompt engineering is rigorous, context-aware, and optimized for accuracy, reliability, and alignment with user intent at scale. Performance Monitoring & Iteration: Define and track advanced KPIs and success metrics for AI products, leveraging data-driven insights and stakeholder feedback to drive continuous improvement. Lead periodic reviews and iterative enhancements to maintain product excellence and impact. Requirements Bachelor's or Master's degree in Computer Science, Data Science, Business, or other technical field. 10+ years of experience in product management, preferably with at least 5 years focused on AI, machine learning, or data-intensive products. Technical Knowledge: Experience with Snowflake, Databricks, Python, and SQL. AI/ML Knowledge: Solid understanding of AI and ML concepts, model types, data requirements, and the model development lifecycle. Experience with generative AI and prompt & context engineering is highly desirable. Stakeholder Empathy: Ability to work with a wide range of stakeholders and translate their needs into successful products while aligning with organizational strategies. Technical Acumen: Ability to discuss technical concepts, manage trade-offs, and collaborate with technical and non-technical teams. Business Acumen: Understanding of business operations and the ability to connect AI solutions to measurable value and goals. Leadership & Influence: Ability to lead cross-functional teams without formal authority and drive initiatives. Communication Skills: Exceptional written and verbal communication to articulate complex concepts clearly. Change Management: Ability to drive adoption of solutions using change management best practices and a product-led mindset. Analytical Mindset: Strong analytical and problem-solving skills with a data-driven approach to decision-making, including experience with A/B testing and quantitative methods. Execution Mindset: Bias for action with iterative, high-velocity delivery. Project Management: Experience with agile development and tools (e.g., Jira, Asana). Preferred Advanced degree in a technical field Experience in the life and health insurance or reinsurance industry Product management certifications Knowledge of real-world data, medical, underwriting, and other third-party data Knowledge of actuarial concepts and the reinsurance industry Knowledge of reinsurance operations What you can expect from RGA Gain knowledge from and experience with diverse colleagues around the world. Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. Join the bright and creative minds of RGA, and experience vast career potential. Compensation Range $146,950.00 - $218,950.00 Annual Base pay varies depending on job-related knowledge, skills, experience and market location. RGA provides an annual bonus plan and a long-term equity incentive plan. RGA also maintains health, retirement, and other employee benefits. RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable EEO laws. Seniority level Executive Employment type Full-time Job function Engineering and Information Technology Industries Insurance Referrals increase your chances of interviewing at Reinsurance Group of America, Incorporated by 2x Sign in to set job alerts for Head of Artificial Intelligence roles. Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr