Sr. Product Manager - Data Platforms

Job Description:

Sr. Product Manager - Data Platforms

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.

Your Skills and Expertise 

As a Senior Product Manager, Data Platforms, you will operate at the intersection of platform engineering, data product teams, and business stakeholders. You will treat the enterprise data platform as a product—not a project—owning strategy, outcomes, adoption, and value realization.

You will make an impact by:

• Defining and evolving the product vision and roadmap for 3M’s enterprise data platform ecosystem, spanning next-generation lakehouse architectures (AWS, Iceberg) and legacy platforms (Snowflake, Teradata, SAP HANA, SQL Server).
• Balancing modernization and innovation with the stability, optimization, and rationalization of existing platforms.
• Owning the end-to-end lifecycle of platform capabilities, from intake and prioritization through delivery, adoption, and measurable value realization.
• Serving as the single-threaded owner for data platform priorities, trade-offs, and sequencing across engineering, data product teams, and business stakeholders.
• Driving platform adoption through clear value propositions, defined “golden paths,” and improved developer and analyst experiences.
• Establishing and tracking success metrics, including platform adoption, reliability SLAs, cost efficiency, data quality, and time-to-deliver data products.
• Partnering with architecture and governance teams to define and enforce platform standards, including medallion patterns, data contracts, security layers, and policy-as-code practices.
• Identifying opportunities to decommission, consolidate, and optimize platforms and workloads to reduce cost and complexity.
• Producing executive-ready artifacts, including monthly platform health and value reports and CIO-level narratives on progress and business impact.

What You’ll Build

• A clear, opinionated 12–24 month platform product roadmap
• A repeatable intake, demand management, and prioritization model
• A platform adoption playbook for data product and domain teams
• A value realization framework tied directly to enterprise outcomes
• Ongoing executive reporting on platform health, adoption, and ROI

Your Skills and Expertise

To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:

• Bachelor’s degree  or higher (completed and verified prior to start)

• Eight (8) years of experience in data, analytics, or platform product management in a private, public, government or military environment

Additional qualifications that could help you succeed even further in this role include:

• Proven experience owning platforms as products, not just delivery or project execution

• Strong understanding of:

• • Modern data platforms and lakehouse architectures (AWS, Iceberg, Delta)

  • Enterprise data warehousing platforms (Snowflake, Teradata, SAP HANA, SQL Server)

  • SQL-based transformation and modeling (e.g., dbt)

• Experience operating within large, complex enterprise environments with multiple stakeholders

• Demonstrated ability to translate between technical architecture and business value

• Strong stakeholder management, communication, and decision-making skills

• Experience with data product operating models, including domain ownership and data mesh concepts
• Familiarity with data observability, quality, and reliability tooling (e.g., Monte Carlo)
• Experience with FinOps for data platforms, cost modeling, and optimization
• Exposure to AI/ML platforms, feature stores, or AI-ready data architectures
• Comfort operating in ambiguity and driving clarity, focus, and prioritization

Location

• Maplewood, MN (Hybrid – at least 3 days per week onsite)​