Job Description Our client is seeking a Product Owner to support its Enterprise Data Platform organization. This individual will serve as the Product Owner for a dedicated Agile scrum team and partner closely with Product Managers, Engineering Managers, Architects, Data Engineers, and business stakeholders to deliver scalable, high-quality data products that drive business outcomes across the enterprise. The ideal candidate combines strong Agile product ownership experience with a demonstrated background supporting enterprise data platforms, data governance initiatives, data quality programs, and modern cloud-based data ecosystems such as Databricks. This role requires someone who can bridge business objectives and technical execution while helping teams deliver trusted, accessible, and well-governed data assets. Key Responsibilities

• Serve as the Product Owner for a dedicated Agile scrum team (typically 10-14 engineers)
• Partner daily with Product Managers, Data Engineers, Engineering Managers, Architects, and Scrum Masters to drive delivery priorities
• Translate business needs into actionable product requirements, features, user stories, and acceptance criteria
• Own and maintain a prioritized product backlog aligned to strategic data platform roadmaps
• Lead backlog refinement, sprint
• , prioritization, and release planning activities
• Help define and deliver enterprise data products that support analytics, reporting, operational processes, and business decision-making
• Drive initiatives focused on data governance, data quality, metadata management, and data accessibility
• Collaborate with technical teams to support scalable data ingestion, transformation, storage, and consumption solutions
• Identify dependencies, risks, and blockers while facilitating resolution across teams
• Act as the liaison between business stakeholders and technical delivery teams, ensuring alignment on priorities and outcomes
• Support the adoption of modern data platform capabilities and best practices
• Partner with stakeholders to define success metrics and measure business value delivered by data products We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

• 5+ years of experience as a Product Owner, Product Manager, or similar Agile delivery role
• Experience supporting highly technical engineering teams in an Agile environment
• Proven experience owning or supporting enterprise data platforms, data products, or data-centric initiatives
• Strong understanding of data lifecycle concepts, including ingestion, transformation, storage, governance, and consumption
• Experience partnering closely with Engineering Managers, Architects, Data Engineers, and cross-functional stakeholders
• Demonstrated ability to gather requirements, prioritize work, and successfully drive delivery outcomes
• Strong stakeholder management, communication, and facilitation skills
• Experience creating and managing user stories, acceptance criteria, roadmaps, and backlogs
• Ability to effectively communicate with both technical and non-technical audiences
• Strong organizational skills and experience managing competing priorities
• Ability to quickly understand complex business processes and technical ecosystems
• Experience working with modern cloud data platforms (Databricks preferred)
• Experience with enterprise data governance initiatives and frameworks
• Experience driving data quality, data stewardship, metadata management, or data catalog programs
• Familiarity with data engineering concepts, ETL/ELT pipelines, data warehousing, and analytics platforms
• Financial Services industry experience
• Experience supporting large-scale enterprise data modernization efforts
• Exposure to API integrations and data services
• Experience partnering with distributed engineering teams
• Local to Minneapolis, MN preferred