Director, Decision Science & AI/ML

Job Description:

Director, Decision Science & AI/ML

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

As Director of Decision Science & AI/ML, you will define and lead the next generation of enterprise data and AI/ML capabilities at 3M. You will build and scale intelligent data products and knowledge graphs that move the company beyond static reporting and insights toward contextual, AI-driven decision intelligence. This role offers the opportunity to shape how data, AI, and decision intelligence transform a global enterprise.

You will lead the design and delivery of modern solutions that combine data engineering, AI/ML, and semantic data foundations to power business innovation, operational excellence, and enterprise decision-making.

Leading the strategic direction and execution of Intelligent data products initiatives across the 3M. This role will focus on harnessing the power of data and AI/ML, to drive business innovation and operational excellence across the company. This role requires a strategic thinker with a deep understanding of technology and its application in business contexts.

Key Responsibilities

• Next-Gen Data Product Strategy: Lead the transition from descriptive analytics to Decision Science, building intelligent products that provide proactive recommendations across the enterprise.
• Conversational Analytics: Drive the development of Conversational Data Analysis solutions that allow users to query data via natural language, moving away from rigid dashboarding to fluid, role-based insights.
• Predictive Modeling: Drive the roadmap of predictive models, tools and utilities that will be leveraged by AI Agents to drive automated decisions in business processes across Commercial, Operational and Enterprise functions.
• Apply Decision Science: Implement decision science frameworks to support strategic, operational, and financial decision-making, enabling predictive and prescriptive insights that drive measurable business outcomes.
• Dynamic Persona-Based Insights: Develop insight systems that deliver real-time, context-aware intelligence tailored to specific roles—from executives to frontline operators.
• Semantic Data Architecture: Establish robust enterprise capabilities in Data Cataloging, Metadata Management, and Semantic Data Fabric architecture to ensure high-fidelity data is ready for AI/ML consumption.
• Knowledge Graphs & Ontologies: Build and scale enterprise Knowledge Graphs and Business Ontologies to unify structured and unstructured data, enabling deep reasoning and power context aware enterprise search.
• AI Consumption Layer: Build context-aware enterprise data layers, ensuring data is ready for consumption by advanced AI models and automation tools across R&D, Manufacturing, Supply Chain, and Commercial functions.
• Technical & Platform Collaboration: specific collaboration with the Data Platform, Data Engineering, AI Engineering, Product Management, Master Data Management (MDM), and Data Observability teams. You will ensure alignment on architectural standards, unified data governance, and operational reliability.
• Adoption & Change Management: Drive the adoption of intelligent insights across the value chain—including Product Development, Portfolio Management, Operations, Sales, and Customer Experience—serving as a strategic advisor to senior leadership.
• Robust Governance: Establish governance models for data quality, model reliability, trust scores, semantic consistency, and Responsible AI.

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, Data Science (completed and verified prior to start)
• Ten (10) years of experience leading data, analytics, AI/ML initiatives in a private, public, government, or military environment
• Five (5) years of deep expertise in designing, architecting and delivering data engineering, ML platforms, and generative AI ecosystems

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

• Data Lakehouse architectures, Graph Data Architectures and cloud‑native engineering.
• Intelligent data products or data-as-a-product programs including Knowledge graphs and semantic data layers
• Generative AI solutions, with preferred experience building conversational data analysis solutions
• AI driven 360 degree solutions such as Customer 360, Supplier
• Predictive AI/ML Models in Marketing, Supply Chain and Finance domains (Customer Behavior Predictions, Demand Planning, Financial Forecasting, Customer Lifetime Value, Customer Churn etc)
• AI Ops and ML Ops managing the full lifecycle of AI/ML Models including Data Drift, Model Drift and Model Risk Management
• Enterprise data catalog and metadata platforms

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Work location: On site in Maplewood

Travel: May include up to 10% domestic and international

Relocation Assistance: Is Authorized

Supporting Your Well-being

3M offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.

Chat with Max

For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers.

Applicable to US Applicants Only:The expected compensation range for this position is $266,001 - $325,112, 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. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.3m.com/3M/en\_US/careers-us/working-at-3m/benefits/.

Good Faith Posting Date Range 03/10/2026 To 04/09/2026 Or until filled

All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M.

Learn more about 3M’s creative solutions to the world’s problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M.

Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.

Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.

Pay & Benefits Overview: https://www.3m.com/3M/en\_US/careers-us/working-at-3m/benefits/

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.

Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.

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