Director, Decision Science & AI/ML

3M • Maplewood, MN

1d • Onsite

About The Position

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 .

Requirements

• Bachelor's degree in computer science, Data Science, AI/ML (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

Nice To Haves

• 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

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.

Benefits

• 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.
• Relocation Assistance: Is Authorized
• Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Director