AI Product Owner

Job description

### Job Summary AI Product Owner AI Product Owner Life Health Re Bangalore Hyderabad Are you a visionary product leader who thrives at the intersection of cutting-edge AI and the complex world of Life Health reinsurance? Do you have a passion for turning bold business strategies into intelligent, data-driven solutions that make a real difference? If so, this is your opportunity to shape the future of AI-enabled reinsurance at one of the world's most innovative and trusted risk knowledge organizations. Join us and help redefine what's possible at scale, with purpose. ### Role Overview 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 LH operations and in-force management. This is not just a product role; it's 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 LH business stakeholders, AI teams, data engineers, and technology delivery functions - orchestrating a portfolio of AI-enabled products that deliver measurable, lasting business value. #### Key Responsibilities #### Product Vision Strategy - Define and own the product vision, strategy, and roadmap for AI-enabled LH 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 #### Business Ownership Value Realization - 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 #### Product Planning Backlog Management - 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 #### AI Product Orchestration - 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 #### Governance, Risk Quality Oversight - 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 #### Stakeholder Engagement Communication - 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 #### About the Team The Life Health Re team at Swiss Re is on an exciting and ambitious *Advance with AI* journey - harnessing Swiss Re's rich global data foundation and enterprise business applications to revolutionize how LH reinsurance is managed. We are a collaborative, forward-thinking team united by a shared mission: to enable continuous monitoring of LH portfolio performance, deliver actionable AI-driven insights and recommendations, and embed intelligent, reasoning-enabled workflows into the heart of our core business processes. Spanning underwriting, operations, actuarial, and in-force management, our team operates at the cutting edge of AI innovation within a regulated environment - where trust, governance, and scalability are just as important as creativity and speed. Here, your work will have a tangible, global impact, and you'll be surrounded by talented colleagues who are as passionate about meaningful outcomes as you are. #### About You You are a strategic thinker with a strong execution mindset - someone who can zoom out to see the big picture while rolling up your sleeves to get things done. You bring deep Life Health insurance or reinsurance expertise combined with a genuine passion for AI and data-driven innovation. You are a natural communicator and collaborator who can build bridges between business and technology, inspire confidence in stakeholders at all levels, and lead without direct authority in complex, matrixed organizations. You are comfortable navigating ambiguity, making tough prioritization calls, and driving meaningful change. #### We are looking for candidates who meet these requirements: - 8+ years of experience in product ownership, business analysis, digital transformation, data analytics,