Senior Manager - Data Engineering

3M; Maplewood (MN); On-site; USD 188,251 - 230,084; Full time

Job summary

The National Black MBA Association is seeking a Senior Manager for Data Product Engineering in Maplewood, MN. In this pivotal role, you will lead a cross-functional team to design and build enterprise data products, enabling analytics and AI capabilities. Ideal candidates will have extensive experience in data engineering and leadership, steering projects from planning to execution with a focus on quality and performance.

This position offers a competitive salary range of $188,251 - $230,084, inclusive of base and variable pay. Join us and play a vital role in our data-driven transformation.

Qualifications

• Ten (10) years of experience in Data Engineering or Software Engineering.
• Five (5) years leading engineering teams.
• Experience delivering enterprise-scale cloud data solutions.

Responsibilities

• Lead a cross-functional engineering team to deliver data products.
• Manage the end-to-end delivery lifecycle of data products.
• Drive best practices in data engineering.
• Collaborate with business stakeholders to define technical solutions.

Skills

Data Engineering

Software Engineering

Cloud Solutions Delivery

Agile Delivery

Leadership

Education

Bachelor’s degree in Computer Science, Engineering, or Information Systems

Tools

AWS

Snowflake

Apache Iceberg

Python

SQL

Job description

Senior Manager – Data Product Engineering

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

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.

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, technical design, development, testing, 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, Infrastructure as Code, automated testing, data quality validation, monitoring, 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.
• 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, machine learning, intelligent agents, 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).
• Define business metrics, KPIs, or semantic models.
• Create dashboards, reports, or BI content.
• Operate as a project manager without engineering accountability.

What Success Looks Like

• On‑time delivery of committed roadmap with strong business adoption.
• High deployment frequency and low lead time for change.
• Platform availability and data quality SLAs consistently met.
• Growing number of reusable enterprise data products and AI‑ready datasets.
• Reduction in duplicate data pipelines.
• Team engagement, retention, and talent development.
• Business KPI improvements enabled by delivered products.

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

• Experience delivering enterprise‑scale cloud data solutions.
• Strong knowledge of modern data architectures.
• Experience with Agile delivery models.
• Strong communication and executive presentation skills.
• 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.

Compensation

The expected compensation range for this position is $188,251 - $230,084, which includes base pay plus variable incentive pay, if eligible.

Location, Travel & Legal Requirements

Work location: Maplewood, MN.

Travel: May include up to 10% domestic/international.

Relocation: May be authorized.

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

Equal Opportunity Statement

3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.