Asst Dir, Data Products (STP)

About This Opportunity: The Data Office within Experience & Strategy at Liberty Mutual expects to hire a Product Owner in 2027. This isn’t an active job posting. We’re building relationships with talented people now, so we can get to know each other before the role opens. If you’d like to learn more about our team, our work, and what’s ahead, apply to start a networking conversation with us.

The Data Office within Experience & Strategy at Liberty Mutual partner across USRM to define strategy, deliver platform integration, and govern for quality, security, and compliance. Our performance-driven team is passionate about leveraging data to create value for customers and drive business results.

We’re looking for a Product Owner to lead our Master Data Management (MDM) and Customer Data Platform (CDP), the foundation that turns scattered data into a trusted, unified view of our policyholders. Behind every fair quote, every smooth claim, and every well-timed renewal conversation is data someone had to get right: the right policyholder, the right property or vehicle, the right history. In this role, you’ll be that someone, shaping the roadmap, partnering with engineering, analytics, underwriting, claims, distribution, and marketing leaders, and turning real business needs into capabilities that help us know our policyholders better and be there for them when it matters most. If you want your work to matter well beyond the backlog, this is the place to do it.

**If you reside within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA;

Indianapolis, IN; Columbus, OH; or Plano, TX you will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel.**

Why this role:

• High-impact role within USRM with end-to-end product ownership.
• Collaborate with talented leaders to build our modern data landscape.
• Directly enable faster, better business decisions through scalable data products.

What you’ll do:

• Define and communicate the vision, strategy, and roadmap for the Master Data Management and Customer Data Platform; align outcomes, KPIs, and success measures with stakeholders.
• Translate business needs into epics and user stories with clear acceptance criteria; maintain and prioritize the backlog.
• Lead one or more engineering squads through discovery, backlog grooming, and delivery with a strong definition of done in a matrixed environment.
• Embed data governance, security, AI readiness and compliance controls into product design and delivery.
• Communicate status, risks, and trade-offs to business and technical stakeholders in plain language; make timely decisions to keep delivery on track.
• Monitor product KPIs and operational health; reduce incidents and improve development cycle time through continuous improvement.

Responsibilities:

• Manages complex projects and recommends and implements new or enhanced data products to better meet stakeholder or customer needs by leading the development of project backlogs and plans, including milestones and dates, identification of parties and processes impacted by a data solution.
• Grasp new technologies needed to progress initiatives, while demonstrating an understanding of the use of data in solving a business use case.
• Create roadmaps for product delivery, innovate, and create new product ideas.
• Prioritize efforts based on business value.
• Communicate to a senior audience how technical designs meet business needs, and shows a command of industry trends and business processes.
• Break down data issues and resolve them, by prototyping data solutions to meet the needs of both the organization and business customers.
• Ability to think through proof-of-concept solutions and how they will be maintained, and can help assess whether proof of concepts/proof of technology are viable and scalable by partnering with IT.

Ideal candidate will have:

• 5+ years (ideally 5–7+) in data product ownership, data analytics, or a related role, including hands-on experience with MDM, CDP, and software design principles.
• Familiarity with MDM systems, match & merge rules, survivorship and integrating/managing an MDM solution with customer and user facing applications
• Demonstrated product ownership: roadmap development, prioritization, acceptance criteria, stakeholder management, and Agile delivery.
• Experience influencing and aligning stakeholders in large, matrixed organizations; able to communicate recommendations to senior leaders and simplify technical topics for business and engineering audiences.
• Strong problem-solving skills: decompose ambiguous problems, form hypotheses, run tests, and make data-driven decisions.
• Proficiency in SQL and familiarity with data marts, data models and pipelines.
• Working knowledge of AI concepts and the data foundations they depend on, with the ability to evaluate AI-driven opportunities and partner effectively with analysts and data science teams.
• Knowledge of cloud data platforms and data governance, privacy, and security best practices.