Director - Product Engineering, Data & AI

3M
104d$228,040 - $278,715

About The Position

As a Director - Product Engineering, Data & AI, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by consulting with the leadership team to set medium- to long-term strategic direction and operating plans. You will interact with stakeholders and senior leadership to influence decision-making, operational/strategic planning, and developing strategies and solutions for complex and multi-faceted business problems. You will manage the delivery of intelligence products including semantic models, knowledge graphs, generative insights, conversational interfaces, agents, and algorithms. Additionally, you will drive cross-functional collaboration across engineering, data science, business stakeholders, and product teams to ensure successful delivery and adoption. You will define product strategy and roadmaps aligned to business priorities and measurable outcomes, establish iterative development practices, and lead leaders of multiple teams while fostering a culture of innovation, accountability, and continuous improvement.

Requirements

  • Bachelor’s degree or higher in computer science, Data Science, Engineering, Business, or a science field (completed and verified prior to start).
  • Ten (10) years of experience in technical data or software leadership roles such as Architect, Lead or Manager in a private, public, government or military environment.
  • Five (5) years of experience designing and deploying data models and cloud architectures for finance, supply chain, sales and marketing.

Nice To Haves

  • 5+ years of experience building and deploying and managing high volume AI/ML models in production.
  • 2+ years of experience building and deploying multiple Generative/Agentic AI applications at scale (1000+ daily users).
  • Proven experience working in a platform-product operating model with expertise in scaling data and AI products, pipelines and solutions from 0 to 10,000+ users.
  • Prior experience with Agentic AI, Generative AI and AI/ML, including machine learning, natural language processing, and computer vision.
  • Prior experience with modern data engineering concepts including Data Warehouse, Lakehouse, ETL/ELT, Graph Databases, knowledge graph, Data Services.
  • Understanding of regulatory, ethical, and governance considerations associated with AI products, ensuring responsible and compliant product delivery.
  • Excellent leadership, communication, and interpersonal skills.
  • Ability to think strategically and execute methodically.
  • Experience with agile development methodologies and project management tools.

Responsibilities

  • Consults with leadership team to set medium- to long-term strategic direction and operating plans for a medium to large complex IT business operation.
  • Develops business strategies and creates solutions for complex and multi-faceted problems.
  • Provides advice and counsel for decision-making, operational/strategic planning, and information management.
  • Implements appropriate information technology for a typically medium to large IT business operation.
  • Plans, organizes, and directs all information technology activities and policies, including the management of one or more functional disciplines.
  • Consults with leadership team to set medium- to long-term strategic technical direction for a Solution Center or Infrastructure footprint.
  • Develops strategies and creates solutions for complex and multi-faceted problems.

Benefits

  • Medical, Dental & Vision
  • Health Savings Accounts
  • Health Care & Dependent Care Flexible Spending Accounts
  • Disability Benefits
  • Life Insurance
  • Voluntary Benefits
  • Paid Absences
  • Retirement Benefits
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