Data Product Owner

Data Product Owner – Sports/Media

Experience in Sports, Media, Entertainment, Broadcasting, Streaming, or Sports Analytics.

Location: Remote – USA or Ontario, Canada
Employment Type: Full-Time Permanent
Experience: 8–12 years preferred

About the Role

We are looking for an experienced Data Product Owner to lead data-focused initiatives across a dynamic Sports & Media environment.

The ideal candidate will combine strong data management, data governance, data strategy, and product ownership experience. You will work closely with business stakeholders, data engineers, architects, analysts, and other cross-functional teams to define priorities, build data roadmaps, improve data quality, and deliver scalable data products that support analytics and business decision-making.

This role will focus on centralized data concepts, including data integration, standardization, governance, quality, metadata, lineage, and accessibility.

Key Responsibilities

• Own and drive the roadmap for data products and data-focused initiatives.
• Partner with business and technical stakeholders to understand requirements and translate them into actionable data product features.
• Lead end-to-end data management initiatives covering integration, transformation, quality, governance, and accessibility.
• Develop and execute data strategies and roadmaps aligned with business objectives.
• Establish and promote data quality standards, processes, and controls.
• Support data governance initiatives including metadata management, data lineage, data ownership, stewardship, and data standards.
• Prioritize data initiatives and manage product backlogs based on business value, technical dependencies, and strategic priorities.
• Work closely with Data Engineers, Data Architects, Analysts, and other technical teams to deliver scalable data products.
• Facilitate design sessions, requirement workshops, sprint planning, backlog refinement, and other Agile ceremonies.
• Define clear requirements, user stories, acceptance criteria, and Definition of Done.
• Balance short-term business priorities with long-term data platform scalability and sustainability.
• Identify risks, dependencies, data quality issues, and opportunities for improvement.
• Communicate product strategy, roadmap, progress, and outcomes to senior stakeholders.
• Promote best practices around data governance, quality, standardization, and responsible data usage.

Required Qualifications

• 8+ years of experience in Product Ownership, Data Product Management, Data Management, Data Strategy, Data Governance, Delivery Leadership, or a related field.
• 5+ years of experience working with data products, data platforms, data lakes, data warehouses, or enterprise data initiatives.
• Strong understanding of end-to-end data management and data quality disciplines.
• Hands-on experience with data governance, including metadata management, data lineage, data standards, stewardship, and governance frameworks.
• Experience developing and executing data strategies, roadmaps, and data-driven transformation initiatives.
• Strong understanding of data integration, standardization, and centralized data platforms.
• Proven experience working with both business and technical stakeholders.
• Strong knowledge of Agile/Scrum/Kanban methodologies.
• Experience with product roadmaps, backlog management, requirements gathering, user stories, and acceptance criteria.
• Excellent communication, leadership, stakeholder management, and problem-solving skills.
• Strong experience with Jira and Confluence.
• Bachelor's degree in Computer Science, Mathematics, Engineering, Data Science, or a related field.

Preferred Qualifications

• Experience leading data modernization or legacy-to-centralized data platform migrations.
• Experience with cloud data platforms such as AWS, Azure, Google Cloud Platform, Snowflake, Databricks, or similar technologies.
• Familiarity with data governance/catalog tools such as Collibra, Alation, Informatica, Microsoft Purview, Atlan, or similar platforms.
• Experience supporting analytics, BI, reporting, or enterprise data products.