Principal Consultant, AI Strategy & Governance - Minneapolis
Principal Consultant, AI Strategy & Governance - Minneapolis
Posted today
SENIORITY
Manager
About the role
- Lead AI and data maturity assessments to identify gaps and define transformation priorities
- Define target-state AI operating models, including roles, decision rights, and organizational structure
- Develop AI use case roadmaps aligned to business value, feasibility, and strategic objectives
- Advise executives on Generative and Agentic AI adoption strategies and scaling approaches
- Design Center of Excellence (CoE) models to enable enterprise-wide AI adoption
- Facilitate executive alignment across enterprise architecture, legal, privacy, information security, and business leadership
- Serve as a strategic advisor to senior leaders, shaping long-term AI vision and investment priorities
- Design governance frameworks including policies, standards, and control structures
- Establish decision rights, escalation pathways, and governance forums
- Develop policy suites covering responsible AI, tool usage, risk classification, and regulatory compliance
- Build intake, prioritization, and risk classification workflows for AI and data initiatives
- Define governance operating cadences, reporting structures, and accountability models
- Partner with engineering teams to define continuous monitoring standards, model performance tracking, and model risk management approaches
- Lead implementation of governance processes to transition from ad hoc to structured AI adoption
- Drive knowledge transfer to embed governance capabilities within client organizations
- Develop change management strategies to position governance as an enabler of innovation
- Lead stakeholder engagement and communication to drive adoption across the enterprise
- C-suite executives, Chief Data Officers, and senior leaders across legal, risk, compliance, technology, HR, and business units
- A team of collaborative, experienced consultants focused on solving complex business problems through data and AI strategy
- Clients across industries including financial services, energy and utilities, retail, healthcare, and technology who are operationalizing AI at enterprise scale
- Colleagues who prioritize intellectual rigor, curiosity, humility, and hands-on problem-solving
- Skills, Knowledge and Expertise 5+ years of professional experience in management consulting, AI/data strategy, governance, or a related strategic advisory role
- Demonstrated experience designing AI or data governance frameworks, operating models, and policy suites for enterprise organizationsStrong understanding of data and AI concepts including Generative AI, Agentic AI, machine learning, data governance, data quality, and responsible AI principles
- Experience conducting organizational maturity assessments and translating findings into actionable roadmaps and prioritized initiatives
- Big 4 or top-tier management consulting experience
- Experience standing up AI governance councils, review boards, or Centers of Excellence from the ground upHands-on familiarity with data and AI platforms such as Snowflake, Databricks, or Palantir Foundry
- Experience with AI risk classification frameworks, shadow AI discovery, or AI compliance programs
- Prior work in regulated industries (financial services, energy, healthcare) where governance complexity is high
- Relevant certifications in data governance, AI, change management, or project management
- Work on transformations that matter, not slide decks that sit on shelves
- Real responsibility and ownership over how work gets delivered and how clients experience usDirect access to firm leadership and influence over how we grow and evolve
- A culture that values depth over optics, outcomes over activity, and people over process
- The chance to grow your career in a firm that’s scaling thoughtfully and intentionally, not just chasing growth for growth’s sake
- The opportunity to flex in a continuous learner environment. Get access and exposure to the latest tools, technologies and trends in the AI space
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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