Sr. Product Manager, Self-Service Analytics Platforms - Wayzata, Minnesota, United States - Cargill

    Cargill
    Cargill Wayzata, Minnesota, United States

    3 days ago

    Description

    Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. 
    Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing—today and for generations to come.

    Job Purpose and Impact

    The Sr Product Manager – Analytics Tools serves as the strategic and execution lead for enterprise analytics platforms including Power BI, Tableau, and KNIME, supporting a community of over 60,000 analytics consumers across business units and functions. This role blends Product Management and Product Owner responsibilities, owning platform vision, roadmap, and outcomes while also driving backlog prioritization and delivery in close partnership with platform engineering, data engineering, governance, and federated analytics teams.

    The role focuses on making high-quality, governed, and scalable analytics the path of least resistance, balancing user experience, governance, cost, risk, and enterprise standards in a highly federated data and analytics environment.

    Key Accountabilities

    Product Strategy & Vision

    • Own the product vision and strategy for enterprise analytics tools (Power BI, Tableau, KNIME) aligned to business outcomes, analytics maturity, and enterprise D&A strategy.
    • Define and maintain a multi-year product roadmap that balances innovation, scalability, governance, cost optimization, and user enablement.
    • Serve as the primary point of accountability for platform success, adoption, and value realization.

    Product Ownership & Delivery

    • Act as Product Owner for analytics platform capabilities, including: writing and refining epics, features, and user stories while managing and prioritizing the product backlog
    • Accepting delivered functionality based on defined outcomes
    • Partner closely with platform engineering, automation, and data teams to ensure timely and high-quality delivery.
    • Drive clear trade-offs and prioritization decisions based on impact, risk, and enterprise value.

    Governance, Standards & Enablement

    • Partner with Analytics Governance leads to embed standards, guardrails, and compliance into platform capabilities rather than relying on manual oversight.
    • Enable federated teams through certified patterns, templates, metadata, and reusable assets.
    • Ensure analytics platforms support privacy, security, regulatory, and enterprise risk requirements.

    Stakeholder & Community Engagement

    • Actively engage analytics communities of practice to gather feedback, surface pain points, and drive adoption.
    • Communicate roadmap, priorities, and changes clearly to a large and diverse user base.

    Adoption, Metrics & Continuous Improvement

    • Define and track success metrics such as adoption, usage patterns, performance, cost efficiency, and governance compliance.
    • Use platform usage insights and metadata to inform roadmap decisions and identify optimization opportunities.
    • Continuously evolve platform capabilities to support emerging needs, including GenAI-assisted analytics and new ways of working.

    Qualifications

    • Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
    • 5+ years of experience in Product Management, Product Ownership, Analytics Enablement, or Platform Management.
    • Experience supporting enterprise-scale analytics tools (Power BI, Tableau, KNIME, or similar).
    • Strong understanding of federated data and analytics operating models.
    • Proven ability to balance governance, user experience, and scalability in complex environments.
    • Excellent stakeholder management, communication, and prioritization skills.

    Preferred Qualifications

    • Experience working within an Analytics COE or platform team.
    • Familiarity with data platforms (e.g., Snowflake, Hadoop) and semantic modeling concepts.
    • Experience enabling self-service analytics at scale.
    • Exposure to GenAI or AI-enabled analytics capabilities.
    • Agile / Scrum Product Owner certification or equivalent experience.

    #Standard

    Short Description

    The expected salary for this position is $95,000-$160,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit:  to learn more (subject to certain collective bargaining agreements for Union positions).


    Equal Opportunity Employer, including Disability/Vet.

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