Sr. Product Owner

At General Motors, you will help shape motorsports data and analytics products that support Strategy, Vehicle Performance, and Competition Engineering. In this hybrid role in Concord, NC, you will lead product strategy, roadmap, and delivery execution while partnering closely with data science and data engineering teams in a complex, fast-paced environment.

What you’ll do

• Act as the accountable Product Owner for cross-functional data science and data engineering teams supporting GM Motorsports.
• Own and maintain the product vision, roadmap, and prioritized backlog for motorsports analytics and data products, aligned to business strategy and measurable outcomes.
• Continuously improve backlog refinement, sprint planning, sprint reviews, and retrospectives.
• Ensure user stories are clear and include well-defined acceptance criteria.
• Remove impediments and protect team focus to enable execution.
• Translate business objectives, workflows, and decision-making needs into implementable features and experiments.
• Weigh scope, risk, and downstream impacts to recommend sequencing and trade-offs.
• Collaborate with data scientists, data engineers, architects, and product partners to define solutions that are feasible, scalable, and aligned with enterprise data and AI standards.
• Drive cross-functional alignment across groups such as motorsport engineering, IT, security, and operations, identifying and managing dependencies.
• Provide concise, insights-driven updates and recommendations to senior and executive leadership, with clear context and rationale for delivery teams.
• Define and track product KPIs and adoption metrics, iterating roadmap and backlog priorities using data and stakeholder feedback.
• Serve as a thought partner on data and AI capabilities, helping stakeholders understand what is possible with modern data science and data engineering platforms.
• Model and reinforce GM Behaviors (Win with Integrity, Commit to Customers, Innovate and Embrace Change, Speak Fearlessly, Move with Urgency, Be Inclusive, Lead as One Team, Own the Outcome) in day-to-day work.
• Provide informal leadership and mentoring to other product owners, analysts, and team members, and contribute to improving product and agile practices across the organization.

What you’ll bring

• Bachelor’s degree in Engineering, Computer Science, Data/Analytics, Business, or related field (or equivalent experience).
• 5+ years experience as a product manager, product owner, business analyst, systems analyst, or similar role.
• Experience defining product vision and multi-release roadmaps.
• Ability to manage and prioritize complex backlogs across multiple stakeholder groups.
• Experience delivering digital/data products in an agile environment.
• Demonstrated experience serving as a Product Owner and/or scrum lead for one or more agile teams (data, analytics, software).
• Proven ability to work cross-functionally and influence without formal authority, partnering with technical and non-technical stakeholders at multiple levels.
• Strong communication skills, including presenting concise, data-informed updates to senior leadership and translating technical concepts into business-relevant language.
• Familiarity with data science and data engineering concepts (analytics use cases, data pipelines, model development and deployment, experimentation) to ask the right questions and make informed prioritization decisions.
• Ability to operate at senior scope by solving complex, often new problems; leading large or high-visibility initiatives with cross-functional impact; mentoring less-experienced colleagues and elevating team practices.

Preferred qualifications

• Experience working with and owning data-heavy products or platforms with data science and/or data engineering teams, including defining SLAs, data contracts, and quality expectations for downstream consumers.
• Familiarity with modern data and analytics technology stacks, including cloud platforms such as Azure, data engineering tools such as Databricks and Spark, modern data pipelines, and streaming technologies such as Kafka.
• Solid understanding of modern data engineering concepts and patterns (data lakes/lakehouse, batch and streaming pipelines, warehousing, orchestration, observability) with the ability to discuss trade-offs with engineers.
• Ability to read and reason about technical designs (high-level schemas, pipeline diagrams, architectural decisions) to prioritize work.
• Product ownership experience in an engineering-heavy domain (automotive, mobility, manufacturing, motorsports, aerospace, or similar), including designing and tracking product KPIs and success metrics.
• Formal agile training or certifications (CSPO, PSPO, Scrum Master) and experience tailoring agile practices to complex, multi-team environments.
• Demonstrated ability to navigate enterprise processes, governance, and risk while maintaining urgency and forward progress.

Tools you may work with

Azure, Databricks, Spark, Kafka

Work arrangement

• This role is categorized as hybrid. You are expected to report to the Concord, NC location at least 3 times per week (or other frequency dictated by your manager).