Senior Product Owner, Data Science

The Hartford

Sr. Product Owner leading data science products and platforms for The Hartford insurance company.

Posted 8/19/2026full-timeHartford • Connecticut • 🇺🇸 United StatesSenior💰 $111,200 - $166,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management for data science initiatives, including defining product vision, strategy, and roadmap. Proficient in agile methodologies, data-driven decision-making, and cross-functional team leadership.

Highest-signal resume keywords

Product ManagementData Science MethodologiesAgile Development MethodologiesKPI TrackingCross-Functional Team Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningBig Data TechnologiesProduct RequirementsUser StoriesMarket ResearchCompetitor AnalysisCustomer Feedback AnalysisAnalytical SkillsProblem-Solving

Soft Skills

Communication SkillsInterpersonal SkillsPresentation SkillsInfluencing SkillsMentoring Skills

Tools & Technologies

ScrumKanbanRally

Industry Keywords

Insurance IndustryFinancial Services Industry

About the role

Key responsibilities & impact

Define and communicate the product vision, strategy, and roadmap for data science initiatives
Translate complex business problems and user needs into product requirements and user stories for data scientists and engineers
Prioritize the product backlog based on business value, technical feasibility, and strategic impact
Collaborate with data scientists, machine learning engineers, and technical teams throughout the product lifecycle
Conduct market research, competitor analysis, and customer feedback analysis
Liaise between business stakeholders, data science teams, and relevant departments
Define and track KPIs for data science products, analyzing performance and iterating based on results
Champion agile methodologies and best practices
Mentor and guide junior product owners or business analysts
Monitor industry trends, emerging technologies, and best practices in data science and product management

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Science, Engineering, Business, or a related quantitative field
7+ years of experience in product management, with at least 3 years specifically focused on data science, machine learning, or AI products
Proven track record of successfully launching and managing data-driven products from conception to end-of-life
Strong understanding of data science methodologies, machine learning algorithms, and big data technologies
Experience with agile development methodologies (Scrum, Kanban) and associated tools (Rally)
Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders
Demonstrated ability to influence and lead cross-functional teams without direct authority
Strong analytical and problem-solving skills, with a data-driven approach to decision-making
Experience in the insurance or financial services industry is a significant plus
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

Benefits

Comp & perks

Short-term or annual bonuses
Long-term incentives
On-the-spot recognition
Hybrid or remote work arrangement