Senior Manager - Data Engineering

Senior Manager – Data Product Engineering

Collaborate with Innovative 3

Mers 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 3

Mers.

This position provides an opportunity to transition from other private, public, government or military experience to a 3M career.

3M is seeking a talented and experienced Senior Manager, Data Product Engineering to lead a cross‑functional engineering team responsible for designing, building, and operating enterprise data products that enable analytics, AI, and digital business capabilities. You will collaborate with curious, creative, and diverse teams around the world, delivering trusted, scalable, and reusable data products that create measurable business value.

• Leading, coaching, and developing a high‑performing team of Data Engineers and Technical Leads, building an engineering culture focused on quality, ownership, automation, and continuous improvement.
• Owning the end‑to‑end delivery lifecycle for enterprise data products — from product planning and technical design through development, testing, deployment, production support, and continuous enhancement.
• Driving engineering best practices including CI/CD, Infrastructure as Code, automated testing, data quality validation, monitoring, data contracts, and documentation.
• Partnering with business stakeholders, Product Managers, Enterprise Architecture, and Data Governance to translate business capabilities into technical solutions that deliver measurable outcomes.
• Guiding cloud‑native data solutions using Snowflake, Apache Iceberg, AWS, dbt, Python, SQL, APIs, streaming technologies, and data orchestration platforms.
• Ensuring data products are designed to support AI applications
  , machine learning, intelligent agents, semantic models, self‑service analytics, and real‑time operational decision making.

• Lead, coach, and develop a high‑performing team of Data Engineers and Technical Leads.
• Build an engineering culture focused on quality, ownership, automation, and continuous improvement.
• Recruit and develop engineering talent.
• Establish clear goals, career paths, and performance expectations.
• Foster collaboration across engineering, architecture, product management, and business teams.

• Own the end‑to‑end delivery lifecycle for enterprise data products including product planning, technical design, development, testing, deployment, production support, and continuous enhancement.
• Ensure products are reliable, well documented, secure, governed, observable, and reusable across the enterprise.

• Drive engineering best practices including CI/CD, Infrastructure as Code, automated testing, data quality validation, monitoring, and documentation.
• Champion modern software engineering practices within data engineering.

• Partner with Business Product Managers, Domain leaders, Enterprise Architects, Platform Engineering, Data Governance, and Security.
• Translate business capabilities into technical solutions that deliver measurable outcomes.

• Own operational health including availability, performance, data freshness, and data quality.
• Manage incidents, cost optimization, and technical debt.
• Establish Service Level Objectives (SLOs) and continuously improve platform reliability.

• Ensure data products are designed to support AI applications, machine learning, intelligent agents, semantic models, self‑service analytics, and real‑time operational decision making.

• Own platform infrastructure engineering or AWS infrastructure delivery.
• Perform individual contributor data engineering (pipeline development).
• Define business metrics, KPIs, or semantic models.
• Create dashboards, reports, or BI content.
• Operate as a project manager without engineering…