Senior Manager - Data Engineering

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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. As a Senior Manager, Data Product Engineering , you will make an impact by: 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 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 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) 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,

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