Product Owner – Data & Analytics

I have a Job requirement. If you are interested in the below job position, please respond back with your updated resume to [Upgrade to PRO to see contact]. Job Title: Product Owner – 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