Senior Data Product Manager

Responsibilities

• Own and maintain the roadmap for key data initiatives including ingestion pipelines, transformation layers, data warehousing, and self-serve analytics.
• Translate business priorities and data team pain points into a sequenced, outcome-oriented roadmap with clear success metrics for every initiative.
• Define and track platform KPIs — story sizing, adoption rates, data quality and delivery reliability — and use them to drive roadmap decisions.
• Communicate roadmap direction and delivery status to both technical and business stakeholders with clarity and consistency.
• Conduct continuous discovery with internal customers — analysts, underwriters, business leads, actuaries, data engineers — to surface and prioritize unmet data needs.
• Write crisp problem statements, user stories, and acceptance criteria that give engineering teams the clarity to execute without over-specifying the solution approach.
• Identify and eliminate friction in how the data team produces, consumes, and governs data across the organization.
• Elicit, analyze, and validate requirements across the full data lifecycle: sourcing, ingestion, transformation, storage, access, and consumption.
• Partner with data engineering to plan and deliver platform improvements in agile cadence; own sprint priorities, remove blockers, and make scoping trade-offs with clear rationale.
• Coordinate go-live plans including documentation, training, and rollout sequencing for internal users.
• Manage and track requirements throughout the delivery lifecycle, ensuring changes are reflected in sprint planning and communicated to stakeholders.
• Ensure new platform capabilities are transitioned to BAU operational processes and that adoption follows delivery.

Requirements

• Bachelor’s degree in Computer Science, Information Systems or a related field, or equivalent professional experience.
• 7+ years of experience in product management, with at least 3 years owning data platforms, data infrastructure, or analytics products in a complex organization.
• Strong working knowledge of the modern data stack (e.g., dbt, Snowflake, or equivalent tools).
• Ability to read and write SQL — not expected to write production queries, but deep enough in the data to QA assumptions and validate outputs.
• Track record of shipping products for internal technical customers with measurable, documented outcomes.
• Demonstrated ability to build and maintain a product roadmap that engineering teams can execute and business stakeholders can understand.
• Experience in insurance, financial services, or another regulated industry.
• Experience enabling business users to self-serve on data analysis, including identifying where users (underwriters, actuaries, finance) are stuck waiting on analyst support and championing AI-powered tools that close that gap.
• Exposure to AI/ML workflows and an understanding of how model pipelines depend on upstream data quality and platform reliability.

Qualifications

• Excellent listening, interpersonal, written, and oral communication skills; able to translate between technical and business audiences without losing nuance.
• Independently motivated and self-directed; able to exercise independent judgment and act upon it in a fast-moving, startup-oriented environment.
• Continuous learner, coachable, and open to feedback and trying new approaches.
• Able to effectively prioritize and execute under pressure while maintaining attention to detail and quality.
• Expert collaborator who can build strong relationships within the Data team and with partners in other parts of the business.

Skills

• Product Management
• Data Platforms
• Data Infrastructure
• Data Warehousing
• Self-serve Analytics
• SQL
• AI/ML Workflows
• Communication Skills
• Collaboration

Benefits

• Performance-based bonus potential
• Strong health & welfare benefits
• Retail plans with company match
• Competitive time off plans
• A highly flexible work environment

Pay

The base salary expectation for this role is between $130,000 and $175,000. Actual base salary for the selected candidate may be higher commensurate with candidate experience and expectations.

Schedule

This is a remote or hybrid opportunity depending on location.