Reinsurance Group of America, Incorporated · 3 days ago
VP, Head of AI Product Management
Chesterfield, MO
Full-time
Onsite
Senior Level, Lead/Staff
$147K/yr - $219K/yr
10+ years expReinsurance Group of America, Incorporated is a Fortune 200 Company focused on life- and health-related solutions. They are seeking an experienced AI product management leader to define and align AI-driven solutions, overseeing the entire product lifecycle from ideation to delivery and adoption.
Financial ServicesHealth InsuranceInsuranceLife InsuranceService Industry
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 organization’s 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 agentic approaches that enable intelligent collaboration between systems, maximizing cross-business synergies and delivering exponential 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 expert guidance on risk assessment, regulatory compliance, and policy formulation, articulating nuanced trade-offs and mitigation strategies for AI deployment across diverse use cases
Competitive & Market Analysis Conduct comprehensive, 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 and differentiation
Requirements Gathering & Definition Lead and mentor cross-functional teams through rigorous requirements elicitation and analysis. Transform complex, ambiguous 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 operational oversight throughout the AI product lifecycle. Collaborate closely with data scientists, engineers, and design experts to ensure agile, iterative development, prioritizing features and optimizing the product backlog in alignment with strategic 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, proactive communications regarding product strategy, roadmaps, project milestones, and risk management, fostering transparency, alignment, and executive buy-in across all teams
Solution Delivery & Change Management Architect and execute comprehensive go-to-market plans for new AI solutions, including designing and leading training programs, onboarding sessions, and change management initiatives. Champion the 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, ensuring sustained product excellence and strategic impact
Qualification
Required
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 working with Snowflake, Databricks, Python, and SQL
AI/ML Knowledge Solid understanding of fundamental AI and machine learning concepts, including different model types, data requirements, and the model development lifecycle. Experience with generative AI and prompt & context engineering is highly desirable
Stakeholder Empathy Proven ability to work effectively with a wide range of stakeholders, understand their perspectives, and translate their needs into successful products while accounting for broader organizational objectives and strategies
Technical Acumen Ability to understand and discuss technical concepts, manage trade-offs, and work collaboratively with technical and non-technical teams
Business Acumen Deep understanding of business operations and the ability to connect AI solutions to measurable business value, ROI, and strategic company goals
Leadership & Influence Proven ability to influence and lead cross-functional teams without formal authority, building consensus and driving forward momentum on key initiatives
Communication Skills Exceptional written and verbal communication skills, with the ability to articulate complex concepts clearly and persuasively to different audiences
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. Experience with designing and analyzing A/B tests and other quantitative methods to measure AI product impact, accuracy, and stability
Execution Mindset A strong bias for action with a focus on iterative, high-velocity delivery to bring value to stakeholders quickly and adapt to feedback
Project Management Experience with agile development methodologies and proficiency with project management tools (e.g., Jira, Asana)
Preferred
Advanced degree in 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
Benefits
Annual bonus plan
Participation in our long-term equity incentive plan
Full range of health, retirement, and other employee benefits
Company
Reinsurance Group of America, Incorporated
Reinsurance Group of America, Incorporated (NYSE: RGA) is a global industry leader specializing in life and health reinsurance and financial solutions that help clients effectively manage risk and optimize capital.
1001-5000 employees
H1B Sponsorship
Reinsurance Group of America, Incorporated has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (43)
2024 (46)
2023 (41)
2022 (34)
2021 (34)
2020 (26)
Funding
Current Stage
Public CompanyTotal Funding
$1.35B2025-02-26Post Ipo Debt· $700M
2024-05-08Post Ipo Debt· $650M
2008-12-18IPO
Leadership Team
Axel Andre
Chief Financial Officer
Jeffrey Hopson
SVP - Investor Relations
Recent News
2025-12-22
MarketScreener
2025-12-10
Company data provided by crunchbase