Senior Director, AI Operations

Role Description

The AI Operations Capability/ Platform Lead will define, implement and drive the AI Operations charter, MVP definition, operating model, stakeholder alignment, and platform direction for Huron’s governed AI capability within the Office of the CTO. This role combines enterprise capability leadership with hands-on platform judgment and technical expertise to guide tradeoffs across platform architecture, governance, delivery, and adoption.

This Senior Director-level capability leadership role combines strategic program leadership with practical platform understanding. The role is designed to help teams move faster through appropriate governance by establishing:

• Approved pathways
• Clear decision rights
• Reusable patterns
• Intake and prioritization processes
• Evidence standards
• Measurable adoption goals

The person in this role should be comfortable using approved AI tools to:

• Develop artifacts
• Evaluate options
• Review technical approaches
• Draft reference patterns
• Continuously improve the operating model

This role sits within AI Operations in the Office of the CTO. The executive sponsor for the capability is the CTO.

Key Responsibilities

• Own the AI Operations charter, MVP definition, roadmap, prioritization, intake process, decision forum, adoption outcomes, and operating model.
• Lead definition of the MVP for governed enterprise AI capability, including:
  • Workload classes
  • Priority use cases
  • Bedrock access needs
  • Usage and cost visibility
  • Sandbox ownership
  • Application and agent registration
  • Logging
  • Exception handling
  • Huron Knowledge validation
  • Decision rights
• Establish a federated platform operating model in partnership with:
  • Client-facing AI Delivery
  • Enterprise IT
  • Global Products
  • Engineering
  • Analytics
  • Consulting
  • Security
  • Privacy
  • Compliance
  • Legal
  • Finance
  • Enterprise Architecture
• Provide enough technical direction to make architecture, sequencing, control-plane, and delivery of tradeoffs visible and actionable.
• Use AI tools to accelerate planning, architecture analysis, documentation, backlog development, decision records, stakeholder communication, and review of platform artifacts.
• Ensure AI Operations is positioned as an enablement capability that provides reusable, approved, observable, and cost-managed paths for AI adoption.
• Coordinate MVP scope, stakeholder participation, implementation of budget estimates, and phase-two scaling criteria.
• Track success measures for:
  • Governed access adoption
  • Workload visibility
  • Cost visibility
  • Operational readiness
  • Huron Knowledge enablement
  • Agent safety
  • Delivery acceleration

Qualifications

• 12+ years of experience in enterprise technology, platform leadership, cloud operations, AI enablement, digital transformation, or enterprise architecture, including 5+ years leading cross-functional platform or capability work.
• Strong understanding of enterprise AI operating needs, including:
  • Model access
  • Data protection
  • Cost attribution
  • Auditability
  • Workload classification
  • Sandboxing
  • Governed knowledge
  • AI governance
• Technical fluency with cloud platforms, AI platforms, platform engineering, or enterprise architecture.
• Demonstrated ability to use AI tools as a practical system-building accelerator for:
  • Analysis
  • Documentation
  • Planning
  • Technical review
  • Lightweight prototyping
• Ability to translate technical platform work into business outcomes, stakeholder decisions, funding needs, and adoption measures.
• Proven experience working across senior stakeholders in technology, security, privacy, compliance, finance, legal, architecture, product, and delivery organizations.
• Strong written communication skills, including:
  • Executive narratives
  • Decision memos
  • Roadmap artifacts
  • Operating model documentation

Preferred Qualifications

• Experience with AWS, Amazon Bedrock, enterprise AI platforms, MLOps, LLMOps, platform engineering, or cloud governance.
• Experience with Temporal or comparable workflow orchestration platforms for durable platform, business, or AI operational workflows.
• Experience creating intake, prioritization, governance, exception, or architecture review processes.
• Experience with regulated, client-sensitive, PHI, PII, or confidential-data environments.
• Experience leading platform adoption across federated business teams.
• Flexible living locations across the US. Ability to travel as needed.

Benefits

• Estimated base salary: $205,000 - $295,000 USD
• Total estimated compensation range (including annual incentive compensation): $256,000 - $398,000 USD
• Eligible to participate in Huron’s benefit plans, including:
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Other wellness programs

Position Level

Senior Director

Country

United States of America