Director, Decision Science & Ai/ml

3M

Maplewood, US
Base: $266,001 - $325,112; bonus/equity: variable ...
On-site 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 for Decision Science and AI/ML to lead the development of intelligent data products and AI-driven decision-making capabilities. The role focuses on transforming enterprise data and analytics to enhance business innovation and operational excellence. This position requires a strategic thinker with extensive experience in data science and AI/ML

Job Summary

  • This role defines and leads the next generation of enterprise data and AI/ML capabilities at 3M to move beyond static reporting toward contextual decision intelligence.
  • The position requires building robust semantic data foundations and knowledge graphs to unify structured and unstructured data for advanced AI consumption.
  • Candidates will establish governance models for data quality, model reliability, and Responsible AI while driving adoption of intelligent insights across product development and operations.

Matching Summary

Match Score: 85

3M is seeking a Director for Decision Science and AI/ML to lead the development of intelligent data products and AI-driven decision-making capabilities. The role focuses on transforming enterprise data and analytics to enhance business innovation and operational excellence. This position requires a strategic thinker with extensive experience in data science and AI/ML.

Salary

Base: $266,001 - $325,112; Bonus/Equity: Variable incentive pay included; Benefits: Medical, Dental, Vision, Retirement, and more

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 graph architecture experience
  • Conversational data analysis solutions
  • Customer 360 predictive AI models
  • Data Lakehouse architectures
  • Cloud-native engineering skills

Key Requirements

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

Work Rights

Not specified

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