Senior Manager - Data Engineering

The Role

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.

Impact

• 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.
• Partnering with Business Product Managers, Domain leaders, Enterprise Architects, Platform Engineering, Data Governance, and Security to translate business capabilities into technical solutions that deliver measurable outcomes.
• Ensuring data products are designed to support AI applications, machine learning, intelligent agents, semantic models, self-service analytics, and real-time operational decision making.

Leadership & Team Development

• 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.

Data Product Delivery

• Own the end-to-end delivery lifecycle for enterprise data products including: Product planning and technical design, Development, testing, and deployment, Production support and continuous enhancement.
• Ensure products are reliable, well documented, secure, governed, observable, and reusable across the enterprise.

Engineering Excellence

• Drive engineering best practices including: CI/CD and Infrastructure as Code, Automated testing and data quality validation, Monitoring and alerting, Version control, data contracts, and documentation.
• Champion modern software engineering practices within data engineering.

Business Partnership

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

Operational Excellence

• 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.

AI Enablement

• Ensure data products are designed to support: AI applications and machine learning, Intelligent agents and semantic models, Self-service analytics and real-time operational decision making.

What This Role Does Not Do

• Own platform infrastructure engineering or AWS infrastructure delivery.
• Perform individual contributor data engineering (pipeline development).
• Create dashboards, reports, or BI content.
• Operate as a project manager without engineering accountability.

Skills and Expertise

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or technology field (completed and verified prior to start).
• Ten (10) years of experience in Data Engineering, Software Engineering, or Data Platforms in a private, public, government or military environment.
• Five (5) years leading engineering teams in a private, public, government or military environment.

Additional Qualifications

• Experience delivering enterprise-scale cloud data solutions.
• Strong knowledge of modern data architectures.
• Experience with Agile delivery models.
• Strong communication and executive presentation skills.
• Experience with AWS, Snowflake, Apache Iceberg, Databricks, dbt, Python, Spark, SQL, Kafka or streaming technologies, Data Mesh or domain-oriented architectures, Product operating models, AI and Machine Learning data platforms.
• Experience operating in a large, global, regulated enterprise environment.
• Manufacturing, supply chain, or enterprise analytics experience.

Work Location

Maplewood, MN

Travel

May include up to 10% domestic/international

Relocation

May be authorized

Qualifications

• Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).

Pay & Benefits

The expected compensation range for this position is $188,251 - $230,084, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience.

Additional Information

• Applicable to US Applicants Only.
• Additional information is available at: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/.