VP, Head of AI Product Management

Reinsurance Group of America•Chesterfield, MO

39d•Remote

About The Position

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.

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 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).

Nice To Haves

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

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.

Benefits

Gain valuable knowledge from and experience with diverse, caring 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, endless career potential.

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