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Sr. Product Owner - GM Motorsports

  • Emplacement
    • Austin, Texas
    • Concord, North Carolina
  • Type d'emploi Full time
  • Posté
  • Job Requisition JR-202616572

Description

The Role

The Senior Product Owner will lead the product strategy, roadmap, and delivery execution for key GM Motorsports data and analytics products that support Strategy, Vehicle Performance, and Competition Engineering - across NASCAR, IndyCar, and other GM racing programs . The role combines product ownership with scrum leadership responsibilities, partnering closely with motorsports stakeholders and leading cross-functional delivery across the data science and data engineering teams. Direct motorsports experience is not required; success in this role depends on the ability to quickly understand stakeholder needs, translate them into roadmaps and backlog items, and drive high-quality, timely delivery in a complex, fast-paced environment.

What You’ll Do

  • Serve 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, aligning to business strategy and measurable outcomes.

  • Act as scrum lead for both teams:

    • Facilitate and continuously improve backlog refinement, sprint planning, sprint reviews, and retrospectives.

    • Ensure clear, well-defined user stories and acceptance criteria.

    • Remove impediments and protect the teams’ ability to execute.

  • Partner closely with motorsport Strategy, Vehicle Performance, and Competition Engineering stakeholders to:

    • Understand business objectives, workflows, and decision-making needs.

    • Translate complex requirements into clear, 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 multiple groups (e.g., motorsport engineering, IT, security, operations) to ensure dependencies are identified and managed.

  • Communicate product strategy, priorities, risks, and status effectively:

    • Provide concise, insights-driven updates and recommendations to senior and executive leadership.

    • Provide clear context, rationale, and direction to delivery teams.

  • Apply a disciplined approach to outcome measurement by defining and tracking product KPIs and adoption metrics, and using data and stakeholder feedback to iterate on roadmap and backlog priorities.

  • 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 and team interactions.

  • Provide informal leadership and mentoring to other product owners, analysts, and team members; contribute to improving product and agile practices across the broader organization.

Your Skills & Abilities (Required Qualifications)

  • 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.

  • Significant experience in product management / product ownership roles, including:

    • Defining product vision and multi-release roadmaps .

    • Managing and prioritizing complex backlogs across multiple stakeholder groups.

    • 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 (e.g., data, analytics, software ).

  • Proven ability to work cross-functionally and influence without formal authority, including partnering with technical and non-technical stakeholders at multiple levels.

  • Strong communication skills with a track record of:

    • Presenting concise, data-informed updates and recommendations to senior leadership.

    • Translating technical concepts into business-relevant language for non-technical stakeholders.

    • Providing clear, actionable guidance to development teams.

  • Familiarity with data science and data engineering concepts (e.g., analytics use cases, data pipelines, model development and deployment, experimentation ) sufficient to:

    • Ask the right questions.

    • Understand trade-offs and constraints.

    • Make informed prioritization decisions.

  • Demonstrated ability to operate at a senior scope by:

    • Solving complex, often new problems that require deep experience and strategic thinking.

    • Leading large or high-visibility initiatives with cross-functional impact.

    • Mentoring less-experienced colleagues and elevating team practices.

What Will Give You a Competitive Edge (Preferred Qualifications)

  • Experience working with and owning data-heavy products or platforms in partnership with data science and/or data engineering teams (e.g., performance analytics, telemetry, operations ), including defining SLAs, data contracts, and quality expectations for downstream consumers.

  • Familiarity with modern data and analytics technology stacks , ideally including:

    • Cloud platforms (e.g., Azure ).

    • Data engineering tools (e.g., Databricks, Spark, modern data pipelines, streaming technologies such as Kafka ).

    • Analytics / BI / experimentation and ML platforms .

  • 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 (e.g., high-level schemas, pipeline diagrams, architectural decisions ) and use that understanding to prioritize work, not to implement code hands-on.

  • Product ownership experience in an engineering-heavy domain (e.g., automotive, mobility, manufacturing, motorsports, aerospace, or similar) , including designing and tracking product KPIs and success metrics for data/analytics products.

  • Formal agile training or certifications (e.g., 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.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

Ce poste est hybride. Cela signifie que le candidat retenu doit se rendre sur un site donné au moins trois fois par semaine {ou à une autre fréquence imposée par son supérieur hiérarchique}.

Ce poste peut donner droit à des indemnités de déménagement.

Renseignements sur la diversité

General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés.  Pour en savoir plus, consultez notre processus de recrutement.

Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)

General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi.  Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant. 

Aménagements (É.-U. et Canada)

General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse [email protected] ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.