Director, AI Advisory

Location: Chicago - 550 Van Buren

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.

Join our team as the expert you are now and create your future.

The Director, AI Advisory is the engagement leader and delivery anchor for Huron’s AI Strategy & Transformation Practice. Reporting to the Senior Director, AI Strategy, Advisory & Partnerships, this role leads AI strategy and implementation engagements, along with the 12–15 person team that delivers them. The core focus is healthcare (health systems, academic medical centers, and other provider organizations), with the reach to extend proven approaches to clients in financial services, education, and commercial industries.

The role carries three reinforcing accountabilities: sell, by shaping and winning AI advisory work alongside Senior Directors, Principals and Managing Directors; serve, by leading engagements from AI vision through measurable value realization; and build, by developing the people and intellectual capital that scale the practice. You will translate AI strategy into executable roadmaps, roadmaps into realized value, and realized value into the next engagement. Working closely with the Senior Director, you will also help shape the Practice’s growth agenda, including new offerings, strategic partnerships, and expansion into adjacent markets.

KEY RESPONSIBILITIES

• Client Engagement Leadership & Delivery

Engagement Leader: Serve as the accountable engagement leader for AI strategy and implementation engagements — owning scope, quality, timeline, financials, and client satisfaction across multiple concurrent engagements of varying scale and duration.

Strategy Engagements: Lead AI vision sessions, maturity diagnostics, value lens assessments, roadmap development, and AI operating model design, anchored in measurable clinical, operational, and financial outcomes.

Value Definition: Identify and prioritize AI and intelligent automation opportunities across clinical, operational, and revenue cycle workflows; build business cases and ROI models that executives will fund.

Solution Shaping: Guide solution design across generative and agentic AI, machine learning, and intelligent automation — including architecture, application integration, data readiness, and process redesign — so strategy translates into production-grade deployments.

Governance & Operating Model: Advise clients on AI and automation governance, risk, and operating model structures that withstand clinical, regulatory, and Board-level scrutiny.