Technical Product Owner - Global Specialty Data Science, AI and Analytics

About This Role

As a Senior Asset Owner & Technical Product Owner, you will drive the successful design, deployment, and adoption of end-to-end analytical solutions to serve business partners. This role is critical for translating advanced analytic solutions into tangible business outcomes within the Global Specialty Data Science, AI, and Analytics (GS DSAIA) organization.

Responsibilities

• Lead day-to-day Agile execution for multiple advanced analytics teams
• Leverage proficiency in Agile frameworks (SAFe, Scrum, Kanban) to drive iterative delivery, transparency, and continuous improvement
• Serve as change agent for DSAIA integration and embeddedness into the GS value stream model
• Build strong partnerships with business customers and technology partners
• Act as key point of contact for Data Science & Engineering portfolio and assets
• Partner with APMs and business leaders to refine features and roadmap priorities
• Translate vision and strategic roadmap into incremental plans, sprint goals, and prioritized execution work
• Assist in development of team and product vision, strategic planning, success criteria, CBA and value propositions for Data Science & Engineering assets
• Assist with the communication plan and marketing strategy of the portfolio and key capstone initiatives
• Execute well-designed communication plans tailored to technical peers and business stakeholders

Requirements

• 3-5+ years of experience in supporting analytic or machine learning product ownership or technical development in insurance or related field
• Proficient knowledge of Agile frameworks (SAFe, Scrum, Kanban, XP)
• Familiarity with insurance preference, with stronger preference for Commercial Insurance and direct Global Specialty knowledge
• Proficiency in turning a new business problem into an executable technical or analytical solution
• Comfortable with working on novel, ambiguous business problems with no clear-cut solutions
• Proficiency in impactful storytelling, communication, and relationship-building across technical and non-technical audiences
• Proficiency in leveraging Microsoft tools to develop compelling visuals articulating complex analytical topics
• Proficiency in translating complex technical topics into business solutions and strategies
• Experience with leading project execution and driving change to core business processes through innovative use of quantitative techniques

Qualifications

• 3-5+ years of experience in supporting analytic or machine learning product ownership or technical development in insurance or related field

Nice to Have

• Commitment to proactively expand technical knowledge in emerging areas such as generative AI, AI agents, machine learning, cloud-based data platforms, and modern data engineering practices

Skills

* Required skills