VP, Head of AI Product Management

You desire impactful work.
 

You’re RGA ready

RGA is a purpose-driven organization working to solve today’s challenges through innovation and collaboration. A Fortune 200 Company and listed among its World’s Most Admired Companies, we’re 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 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.