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

The Hartford•Hartford, CT

1d•Hybrid

About The Position

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. A Senior Asset Owner & Technical Product Owner plays an integral role in the successful design, deployment, and adoption of end-to-end analytical solutions to serve our business partners. You will drive adoption of the advanced analytics portfolio through product ownership and execution of a balanced, intentional communication approach that best serves internal (agile team vision, execution work scope) and external (roadmap, asset-specific documentation) audiences. This role is a critical member of the GS DSAIA organization, serving as connective tissue across a robust strategy and multiple job families. Amidst rapid change and opportunity across GS spanning business and technology teams, this position ensures that advanced analytic solutions are translated into tangible business outcomes. This role will balance strategy, technology, and customer value by evolving processes on growing teams, prioritizing work, shaping the backlog, and driving adoption to deliver measurable impact in a dynamic, growth-oriented environment. The ability shape and guide technical execution, as well as take data science and engineering output and highlight key findings, results, and recommendations to our business partners is fundamental to success. This role will support the Global Specialty organization as part of the Data Science, AI and Analytics team. The Global Specialty Data Science, AI and Analytics (GS DSAIA) team is one of three practices (business-aligned teams) in the broader Business Insurance Data Science, AI and Analytics organization. This role will have a Hybrid work schedule, with the expectation of working in an office (Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

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) and comfort assessing team needs, establishing routines and driving continuous improvement
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 while flexing different roles to achieve project success
Proficiency in impactful storytelling, communication, and relationship-building across a broad range of 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 as well as turning business requirements into technical solutions
Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques
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 to stay current and deliver innovative solutions for customers
Candidate must be authorized to work in the US without company sponsorship.
The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

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 across teams and value streams
Serve as change agent for DSAIA integration and embeddedness into the GS value stream model
Build strong partnerships with business customers and technology partners and 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 (in partnership with technical leaders); ensure backlog items reflect customer needs, business goals, and technical feasibility
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 audiences ranging from technical peers to business stakeholders of various levels

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