Director, Decision Science & AI​/ML

Overview

Director, Decision Science & AI/ML

Collaborate with Innovative 3

Mers Around the World. Choosing where to start and grow your career has a major impact on your professional and personal life; 3M supports and guides its people with a wide variety of backgrounds, global locations, technologies and products. 3M is a place to collaborate with other curious, creative 3

Mers.

This position provides an opportunity to transition from other private, public, government or military experience to a 3M career.

As Director of Decision Science & AI/ML
, you will define and lead the next generation of enterprise data and AI/ML capabilities  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.

• 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 used 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:
  
  Collaborate with the Data Platform, Data Engineering, AI Engineering, Product Management, Master Data Management (MDM), and Data Observability teams to align architectural standards, governance, and reliability.
• Adoption & Change Management:
  Drive adoption of intelligent insights across the value chain—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.

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