AI Product Owner

Swiss Re•Fort Wayne, IN

2d•$128,000 - $192,000•Hybrid

About The Position

As the AI Product Owner for Life & Health Re, you will be at the heart of Swiss Re's Advance with AI initiative — a transformative journey to embed AI-driven capabilities across end-to-end Life & Health (L&H) operations and in-force management. This is a strategic leadership position where you will define what gets built, why it matters, and how success is measured. You will serve as the critical bridge between L&H business stakeholders, AI teams, data engineers, and technology delivery functions — orchestrating a portfolio of AI-enabled products that deliver measurable, lasting business value.

Requirements

8+ years of experience in product ownership, business analysis, digital transformation, data & analytics, or AI-enabled business solutions
Strong Life & Health insurance or reinsurance domain expertise, including a solid understanding of underwriting, claims, actuarial, operations, and in-force management processes
Proven product management and delivery experience as a Product Owner, Product Manager, or Lead Business Analyst, with a strong track record of managing product roadmaps, backlogs, and Agile delivery environments
Strong AI & data literacy, including a working understanding of AI, GenAI, machine learning, analytics, and data platforms, with the ability to engage effectively with Data Scientists, AI Engineers, and Data Engineers
Exceptional stakeholder management and communication skills, with demonstrated ability to influence, negotiate, and facilitate across diverse, senior stakeholder groups in matrixed organizations

Nice To Haves

Experience delivering AI-powered decision-support solutions in a complex business environment
Familiarity with portfolio monitoring or in-force management use cases within L&H reinsurance
Knowledge of model governance, explainability, and regulatory frameworks relevant to AI in financial services
Experience working in global reinsurance organizations with cross-functional, international teams
Exposure to Agentic AI and workflow orchestration platforms, including prompt engineering, RAG, and agentic AI concepts
Familiarity with GenAI tools and emerging AI technologies and their practical application in business contexts

Responsibilities

Define and own the product vision, strategy, and roadmap for AI-enabled L&H capabilities, ensuring alignment with Swiss Re's broader business objectives
Identify and prioritize high-value AI use cases across underwriting, in-force management, operations, and portfolio monitoring
Translate business strategy into a clear, actionable product roadmap and investment priorities
Balance short-term delivery goals with long-term platform and capability development to ensure sustainable growth
Act as the primary business owner for AI-enabled products, championing their value across the organization
Define measurable success metrics, KPIs, and value realization targets to track and demonstrate impact
Ensure AI solutions generate actionable recommendations that meaningfully support business decision-making
Continuously assess business outcomes and adapt priorities based on realized value and stakeholder feedback
Drive business adoption and lead "change management" activities to embed AI capabilities into everyday workflows
Own and prioritize the product backlog, defining epics, features, user stories, and MVP scope with precision and clarity
Collaborate with stakeholders to shape ideas and convert them into actionable, well-scoped delivery plans
Make smart prioritization decisions that balance business value, risk, complexity, and delivery capacity
Ensure tight alignment between business objectives and technical execution at every stage
Coordinate execution across AI Engineers, Data Engineers, Data Scientists, Business Analysts, and business stakeholders
Ensure smooth handoffs between data foundations, model development, AI engineering, and business adoption activities
Facilitate decision-making across multiple teams and stakeholder groups to keep delivery on track
Manage dependencies and remove blockers that could impact product delivery timelines or quality
Ensure AI products adhere to governance, compliance, privacy, and model risk management requirements
Oversee production readiness and release decisions with a rigorous quality mindset
Champion responsible AI practices, explainability requirements, and appropriate controls and guardrails
Embed monitoring and change management processes to support sustainable AI operations
Build trusted relationships with business leaders across underwriting, actuarial, operations, and in-force management functions
Communicate product vision, roadmap, and progress clearly and compellingly to diverse stakeholder audiences
Translate complex AI concepts and business implications into accessible language for non-technical audiences
Serve as the primary point of accountability for business stakeholders, ensuring transparency and trust