Data Product Owner (Boston)

We are seeking a Data Product Owner with 5–7 years of experience in the insurance industry to own and evolve reporting and KPI data products. The Data Product Owner owns what is built, why it is built, and how success is measured, acting as the single point of accountability for KPI and reporting data products within an Agile data delivery model. This role has full accountability for defining, delivering, and continuously improving reusable, governed data products that support management, operational, and regulatory reporting. This incumbent will be responsible for building out the data backlog, defining the future of data at CIG and other sister companies and helping drive data driven decisions through data stewardship, data quality initiatives and enabling our workforce by providing good quality data on a continuous basis.

Key Skills & Responsibilities

End-to-End Data Product Ownership

• Own the full lifecycle of KPI and reporting data products, from concept through delivery, adoption, and ongoing optimization.
• Define and communicate the product backlog, data vision, roadmap, and measurable success criteria.
• Own prioritization decisions and make trade-offs to maximize business value.
• Define the ecosystem of data within CIG and then GDH. Be able to collaborate with the different stakeholders across the different business units to drive a digital data ecosystem that enables growth, scalability and repeatability across our different business units
• Serve as the single point of accountability for assigned data products and programs.

KPI, Metrics & Semantic Ownership

• Own canonical KPI definitions, business rules, and calculation logic.
• Partner with business leaders to define the data tools, the rollout of reporting and being a few steps ahead in anticipating needs and wants from the business.
• Ensure consistent interpretation of KPIs across reports, dashboards, and downstream consumers.
• Maintain semantic and metrics layers to prevent duplication and metric drift.
• Resolve conflicts in KPI definitions across insurance business areas.

Backlog & Agile Delivery

• Own and manage the product backlog, including epics, features, and user stories.
• Define clear acceptance criteria and data quality expectations.
• Participate in sprint planning, backlog refinement, reviews, and retrospectives.
• Accept delivered work based on defined product, quality, and governance standards.

Stakeholder Representation & Decision Authority

• Represent the voice of the business within data engineering and analytics teams.
• Partner with stakeholders across Claims, Underwriting, Finance, Actuarial, Risk, and Compliance.
• Make informed decisions on scope, priority, and sequencing to balance speed, quality, and sustainability.

Data Quality, Governance & Audit Readiness

• Own data quality expectations, controls, and monitoring for KPI data products.
• Ensure data lineage, traceability to source systems, and documentation are maintained.
• Ensure KPI and reporting data products are audit-ready, defensible, and compliant with regulatory and internal standards.
• Collaborate with data governance teams to align with enterprise policies.

Adoption, Change & Value Realization

• Drive adoption of KPI and reporting data products through stakeholder engagement and enablement.
• Promote reuse of standardized datasets rather than bespoke reporting solutions.
• Define and track product success metrics including:
• Data quality and reliability
• Adoption and usage
• Stakeholder satisfaction
• Time-to-insight and business impact

Operating Model & Collaboration

• Operate within a domain-aligned data product model, embedded in the enterprise data platform.
• Collaborate closely with data engineers, BI developers, analytics teams, and governance functions.
• Provide guidance and informal mentoring on KPI standards and data product best practices.