Data Product Manager - Senior
Embrace Pet Insurance · Ohio, United States · 1 mo ago
HybridMarketingFull-time
Job Summary
Data Product Manager Reports To: Head of Data Strategy & Planning
Comparable Titles: Senior Data Product Manager | Product Director – Analytics & Insights | Analytics Product Manager
Main Responsibilities
Strategy & Ownership
- Own the strategy, roadmap, and lifecycle for assigned data products — from intake through delivery, adoption, and retirement decisions.
- Receive framed initiatives from the Manager, Data Solutions Strategy and translate them into product requirements, user stories, and acceptance criteria suitable for engineering delivery.
- Align product development with business demand, enterprise governance standards, and the data architecture roadmap.
- Collaborate with the Head of Data Strategy & Planning, Solution Strategists, and Data Architects to deliver integrated, compliant data solutions.
- Maintain data product documentation including data contracts, SLAs, ownership, and classification standards.
Roadmap & Backlog Management
- Own and maintain the product backlog for assigned data products — prioritizing features by business value and measurable outcome.
- Write clear requirements, user stories, and acceptance criteria; facilitate sprint planning, backlog refinement, and UAT with delivery teams.
- Balance stakeholder needs, technical constraints, governance requirements, and resource availability to optimize delivery sequencing.
- Escalate scope conflicts or priority disputes to the Head of Data Strategy & Planning with a clear recommendation.
Adoption & Value Measurement
- Define adoption KPIs at product launch — including usage metrics, active user counts, self-service rates, and certified dashboard adoption.
- Track and report on adoption, usage patterns, and value delivered back to the business; identify and address adoption barriers proactively.
- Evaluate product performance continuously and make evidence-based recommendations to enhance, scale, or retire products based on ROI and strategic alignment.
- Partner with the Analytics Adoption Lead and Change Management function to drive business user enablement and reduce resistance to new data products.
Collaboration & Stakeholder Management
- Serve as the primary point of contact for delivery teams on product requirements, acceptance criteria, and priority decisions.
- Work closely with the Senior Data Architect to maintain data consistency, governance compliance, and architectural integrity across all data products.
- Partner with Data Engineering, MDM, Metadata, and Governance teams to ensure data products meet trust, discoverability, and quality standards.
- Communicate product progress, adoption metrics, and business impact to stakeholders through regular reporting and demos.
Qualifications
- 5–8 years of experience in data, analytics, product management, or solution delivery roles.
- Demonstrated experience defining, managing, or owning data-centric products or platforms from requirement through adoption.
- Strong understanding of data management concepts — including data modeling, quality, governance, lineage, and data contracts.
- Familiarity with modern data tools and platforms including Azure, Azure DevOps, Databricks, and Power BI; exposure to policy administration systems a plus.
- Ability to write clear product requirements and user stories for technical delivery teams working in Agile/scrum environments.
- Strong organizational, communication, and stakeholder management skills.
- Bachelor’s degree in Business, Data Analytics, Computer Science, or related field.
PREFERRED QUALIFICATIONS
- Experience in insurance, financial services, or another regulated industry with complex, multi-source data environments.
- Familiarity with data governance and catalog tools (e.g., Collibra, Purview) given close integration with governance workflows and data contracts.
- Experience measuring and driving product adoption — including defining usage KPIs, identifying adoption barriers, and working with enablement teams.
- Exposure to pricing, underwriting, claims, or finance analytics domains within an insurance or insurtech context.
- Agile/product certification (CSPO, SAFe PO, or equivalent).
- Pet health, insurtech, or multi-brand portfolio experience is a plus.
Success Indicators
- Adoption is measurable and growing: Each shipped data product has defined adoption KPIs, and usage trends are tracked and reported on a regular cadence.
- Backlog is healthy: The product backlog is prioritized, current, and free of ambiguous requirements.
- Engineering teams spend less time seeking clarification.
- Business value is visible: Stakeholders can connect specific data products to specific business outcomes — reduced manual effort, faster decisions, improved claims accuracy, or measurable pricing improvements.
- Handoff quality is high: Solution briefs received from the Manager, Data Solutions Strategy are consistently translated into requirements with minimal rework or scope drift.
- Data contracts are in place: Assigned data products have documented data contracts, SLAs, and ownership — enabling downstream consumers to trust and rely on the data.
Benefits
- Comprehensive full medical, dental and vision Insurance
- Basic Life Insurance at no cost to the employee
- Company paid short-term and long-term disability
- 12 weeks of 100% paid Parental Leave
- Health Savings Account (HSA)
- Flexible Spending Accounts (FSA)
- Retirement savings plan
- Personal Paid Time Off
- Paid holidays and company-wide Wellness Day off
- Paid time off to volunteer at nonprofit organizations
- Pet friendly office environment
- Commuter Benefits
- Group Pet Insurance
- Employee Assistance Program (EAP)