Sr. Product Manager, Self-Service Analytics Platforms

cargill•Shorewood, MN

About The Position

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 ImpactThe 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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.
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.