Director, Decision Science & Ai/ml

3M

Maplewood, US
Base: $266,001 - $325,112; bonus/equity: variable ...
Onsite in maplewood, us
10 years leading data analytics initiatives
5 years deep expertise in ml platforms
Bachelor's degree in computer science or data science
3M is seeking a Director of Decision Science & AI/ML to lead the development of advanced data and AI capabilities, focusing on innovative data products and decision intelligence. The role requires extensive experience in data engineering and AI/ML, along with a strategic mindset to drive business innovation and operational excellence

Job Summary

  • This role defines the next generation of enterprise data and AI/ML capabilities at 3M, moving beyond static reporting toward contextual, AI-driven decision intelligence.
  • The successful candidate will lead the design of modern solutions combining data engineering, AI/ML, and semantic data foundations to power business innovation across global functions.
  • 3M offers competitive pay ranging from $266,001 to $325,112 plus variable incentive pay and a comprehensive benefits package including medical, dental, vision, and retirement plans.

Matching Summary

Match Score: 85

3M is seeking a Director of Decision Science & AI/ML to lead the development of advanced data and AI capabilities, focusing on innovative data products and decision intelligence. The role requires extensive experience in data engineering and AI/ML, along with a strategic mindset to drive business innovation and operational excellence.

Salary

Base: $266,001 - $325,112; Bonus/Equity: Variable incentive pay eligible; Benefits: Medical, Dental, Vision, HSA, FSA, Disability, Life Insurance, Retirement

Skills & Requirements

Must-have

  • 10 years leading data analytics initiatives
  • 5 years deep expertise in ML platforms
  • Bachelor's degree in computer science or Data Science
  • Experience with generative AI ecosystems
  • Strategic leadership in data engineering

Nice-to-have

  • Knowledge graphs and semantic data layers
  • Conversational data analysis solutions
  • Data Lakehouse architectures
  • Cloud-native engineering experience
  • AI Ops and ML Ops lifecycle management

Key Requirements

  • Bachelor's degree in Computer Science or Data Science
  • 10 years experience leading data and AI initiatives
  • 5 years expertise in data engineering and ML platforms
  • US-based work authorization required

Work Rights

Not specified

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