Sr. Product Manager - Data Platforms

3M•Maplewood, MN

1d•Hybrid

About The Position

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. This position involves 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). You will be responsible for balancing modernization and innovation with the stability, optimization, and rationalization of existing platforms. The role requires owning the end-to-end lifecycle of platform capabilities, from intake and prioritization through delivery, adoption, and measurable value realization, and serving as the single-threaded owner for data platform priorities, trade-offs, and sequencing across engineering, data product teams, and business stakeholders. You will drive platform adoption through clear value propositions and improved developer and analyst experiences, and establish and track success metrics including platform adoption, reliability SLAs, cost efficiency, data quality, and time-to-deliver data products. Additionally, you will partner with architecture and governance teams to define and enforce platform standards, identify opportunities to decommission, consolidate, and optimize platforms and workloads, and produce executive-ready artifacts on platform health and business impact.

Requirements

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
Proven experience owning platforms as products, not just delivery or project execution
Strong understanding of: Modern data platforms and lakehouse architectures (AWS, Iceberg, Delta)
Strong understanding of: Enterprise data warehousing platforms (Snowflake, Teradata, SAP HANA, SQL Server)
Strong understanding of: 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
Must be legally authorized to work in the country of employment without sponsorship for employment visa status (e.g., H1B)

Responsibilities

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