What are the responsibilities and job description for the Data Product Manager position at Independence Pet Group?
Established in 2021, Independence Pet Holdings is a corporate holding company that manages a diverse and broad portfolio of modern pet health brands and services, including insurance, pet education, lost recovery services, and more throughout North America.
We believe pet insurance is more than a financial product and build solutions to simplify the pet parenting journey and help improve the well-being of pets. As a leading authority in the pet category, we operate with a full stack of resources, capital, and services to support pet parents. Our multi-brand and omni-channel approach include our own insurance carrier, insurance brands and partner brands.
Job Summary: Data Product Manager
Reports To: Head of Data Strategy & Planning
Comparable Titles: Data Product Manager | Analytics Product Owner | Product Manager – Data & Insights
Position Summary
The Data Product Manager owns the roadmap, backlog, and lifecycle of key data products that enable analytics, reporting, and AI across the business. This role balances business priorities with technical feasibility, ensuring each data product delivers measurable value. Working closely with Head of Data Strategy, Data Architects, data engineers, analysts, and business stakeholders, the Data Product Manager ensures data products are well-defined, high-quality, and aligned with enterprise goals.
Strategy & Ownership
We believe pet insurance is more than a financial product and build solutions to simplify the pet parenting journey and help improve the well-being of pets. As a leading authority in the pet category, we operate with a full stack of resources, capital, and services to support pet parents. Our multi-brand and omni-channel approach include our own insurance carrier, insurance brands and partner brands.
Job Summary: Data Product Manager
Reports To: Head of Data Strategy & Planning
Comparable Titles: Data Product Manager | Analytics Product Owner | Product Manager – Data & Insights
Position Summary
The Data Product Manager owns the roadmap, backlog, and lifecycle of key data products that enable analytics, reporting, and AI across the business. This role balances business priorities with technical feasibility, ensuring each data product delivers measurable value. Working closely with Head of Data Strategy, Data Architects, data engineers, analysts, and business stakeholders, the Data Product Manager ensures data products are well-defined, high-quality, and aligned with enterprise goals.
Strategy & Ownership
- Define the strategy, ownership, and lifecycle management for assigned data products.
- Align product development with business demand and the enterprise analytics roadmap.
- Collaborate with the Head of Data Strategy, Solution Strategists, and Data Architects to deliver integrated, compliant data solutions.
- Own the roadmap and backlog for assigned data products.
- Prioritize features by business value, focusing on tangible outcomes (e.g., household linkage first, predictive modeling later).
- Write clear requirements, user stories, and acceptance criteria for delivery teams.
- Balance stakeholder needs, technical constraints, and resource availability to optimize delivery.
- Measure adoption, usage, and value delivered back to the business.
- Track KPIs for data quality, timeliness, and product utilization.
- Evaluate usage and performance of data products to identify enhancement opportunities.
- Recommend enhancement or retirement of products based on ROI and strategic alignment.
- Partner with engineering, analytics, and business teams to ensure shared understanding of priorities.
- Work closely with the Enterprise Data Architect to maintain data consistency, governance, and compliance.
- Communicate progress, adoption metrics, and impact to stakeholders through reports and demos.
- 4–7 years of experience in data, analytics, or product management roles.
- Experience defining or managing data-centric products or platforms.
- Familiarity with data modeling, quality, and governance concepts.
- Exposure to modern data tools (Databricks, Azure, Power BI, or Snowflake).
- Strong organizational and communication skills; able to translate business needs into technical deliverables.
- Bachelor’s degree in Business, Data Analytics, Computer Science, or related field.
- 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
- On the job training and skills development
- Employee Assistance Program (EAP)