Product Manager, Data-Supply Chain

3M • Maplewood, MN

5d • Onsite

About The Position

Product Manager, Data-Supply Chain Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers. This position provides an opportunity to transition from other private, public, government or military experience to a 3M career. The Impact You’ll Make in this Role This role requires a strategic thinker with a deep understanding of data analytics, data product management, and technology trends. The ideal candidate will act as the strategic bridge between business functions, data platform engineering, and AI enablement, shaping a globally scalable portfolio of data products that adheres to enterprise governance, FinOps, and AI risk frameworks. Strategic Leadership Define the vision and strategic roadmap for manufacturing data products in alignment with enterprise data strategy and platform capabilities. Establish consistent standards for product management, backlog prioritization, and value measurement. Identify opportunities for technology-driven improvements and innovations within the supply chain. Partner with Data Platform and Architecture teams to ensure data products are scalable, secure, and interoperable across domains. Translate enterprise priorities into clear, actionable domain product roadmaps that balance innovation, compliance, and technical sustainability. Portfolio & Delivery Management Oversee the data product portfolio: lifecycle management, investment planning, and roadmap execution. Prioritize across domains based on business value, readiness, and capacity – using intake, ITOC, and BRM processes for governance and alignment. Ensure product roadmaps integrate with the broader Data Platform 2.0 architecture (Bronze/Silver/Gold, Iceberg/S3, Glue, Lake Formation, Snowflake, Power BI). Track KPIs: adoption rate, data product usage, cost per TB, cycle time, and ROI metrics. Drive cross-domain collaboration and dependency management to maximize reuse and avoid duplication of effort. Governance & Enablement Embed governance and AI risk reviews into product lifecycle. Ensure adherence to data quality, metadata, lineage, and FinOps standards. Partner with the Security and Risk teams to ensure all products meet global regulatory and compliance requirements. Advocate for product reusability, domain ownership, and self-service enablement. Stakeholder Engagement Build strong relationships with Enterprise Supply Chain domain leaders and IT counterparts to align priorities and outcomes. Represent the manufacturing data product portfolio at executive steering committees and enterprise planning sessions. Communicate the business impact of data investments in measurable terms – connecting analytics outcomes to operational and financial KPIs. Serve as an evangelist for data as a product, driving awareness and adoption across the enterprise.

Requirements

• Bachelor’s or Master’s degree in Supply Chain Management, Engineering, Data Science, Business, or a science field (completed and verified prior to start)
• Eight (8) years of experience in data product management, data strategy, or analytics leadership, with a focus on supporting supply chain operations within a global manufacturing or industrial enterprise in a private, public, government or military environment.
• Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).
• All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M.

Nice To Haves

• Proven experience leading teams of product owners, analysts, or engineers.
• Deep understanding of data product management principles, domain ownership, and data mesh concepts.
• Strong grasp of modern cloud data platforms and toolsets (AWS, Snowflake, Databricks, Glue, Lake Formation, Power BI, dbt).
• Familiarity with FinOps, AI Risk, and Data Governance frameworks.
• Demonstrated ability to translate business strategies into technical data solutions and measurable value delivery.

Responsibilities

• Define the vision and strategic roadmap for manufacturing data products in alignment with enterprise data strategy and platform capabilities.
• Establish consistent standards for product management, backlog prioritization, and value measurement.
• Identify opportunities for technology-driven improvements and innovations within the supply chain.
• Partner with Data Platform and Architecture teams to ensure data products are scalable, secure, and interoperable across domains.
• Translate enterprise priorities into clear, actionable domain product roadmaps that balance innovation, compliance, and technical sustainability.
• Oversee the data product portfolio: lifecycle management, investment planning, and roadmap execution.
• Prioritize across domains based on business value, readiness, and capacity – using intake, ITOC, and BRM processes for governance and alignment.
• Ensure product roadmaps integrate with the broader Data Platform 2.0 architecture (Bronze/Silver/Gold, Iceberg/S3, Glue, Lake Formation, Snowflake, Power BI).
• Track KPIs: adoption rate, data product usage, cost per TB, cycle time, and ROI metrics.
• Drive cross-domain collaboration and dependency management to maximize reuse and avoid duplication of effort.
• Embed governance and AI risk reviews into product lifecycle.
• Ensure adherence to data quality, metadata, lineage, and FinOps standards.
• Partner with the Security and Risk teams to ensure all products meet global regulatory and compliance requirements.
• Advocate for product reusability, domain ownership, and self-service enablement.
• Build strong relationships with Enterprise Supply Chain domain leaders and IT counterparts to align priorities and outcomes.
• Represent the manufacturing data product portfolio at executive steering committees and enterprise planning sessions.
• Communicate the business impact of data investments in measurable terms – connecting analytics outcomes to operational and financial KPIs.
• Serve as an evangelist for data as a product, driving awareness and adoption across the enterprise.

Benefits

• 3M offers many programs to help you live your best life – both physically and financially.
• To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.
• Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees