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Job Title: Product Owner β Data & Analytics
Location : PHiladelphia PA
Role Summary
The Product Owner (Data & Analytics) is responsible for owning the vision, roadmap, and delivery of data products and analytics solutions. This role works closely with business stakeholders, data engineers, analysts, and data scientists to ensure data is transformed into actionable insights and scalable products.
Key Responsibilities
1. Product Ownership & Strategy
Define and communicate the vision for data and analytics products
Build and maintain a product roadmap aligned with business goals
Identify opportunities to leverage data for business impact
Act as the primary decision-maker for product priorities
2. Backlog Management
Create, refine, and prioritize the product backlog
Write clear user stories, acceptance criteria, and success metrics
Ensure backlog items are well understood by technical teams
Balance short-term delivery with long-term scalability
3. Stakeholder Management
Collaborate with business teams (marketing, finance, operations, etc.)
Translate business needs into data requirements
Manage expectations and communicate progress regularly
Align stakeholders on KPIs and success metrics
4. Data Product Development
Work with data engineers on pipelines, warehouses, and data models
Partner with analysts on dashboards and reporting solutions
Collaborate with data scientists on predictive models (if applicable)
Ensure data quality, governance, and usability
5. Agile Delivery
Participate in sprint planning, reviews, and retrospectives
Remove blockers and support the development team
Ensure timely delivery of features and improvements
Monitor product performance post-release
6. Data Governance & Quality
Define standards for data accuracy, consistency, and reliability
Ensure compliance with data policies and regulations
Monitor and improve data quality processes
Required Skills & Qualifications
Core Skills
Strong understanding of data ecosystems (data warehouses, ETL, BI tools)
Experience with Agile/Scrum methodologies
Ability to translate business problems into data solutions
Strong analytical and problem-solving skills
Excellent communication and stakeholder management
Technical Awareness (not always hands-on)
Familiarity with SQL and data querying concepts
Understanding of tools like:
BI tools (e.g., dashboards)
Data platforms (e.g., cloud data warehouses)
Basic knowledge of data pipelines and APIs
Business Skills
KPI definition and performance tracking
Decision-making based on data insights
Prioritization and trade-off management