Senior Director, AI Operations

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 AI Operations Capability/ Platform Lead will define implement and drive the AI Operations charter MVP definition operating model stakeholder alignment and platform direction for Hurons 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 and 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 and continuously improve the operating model.

Reporting / Organization
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 and 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 and 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 and delivery acceleration.

Required 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 and 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 or 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 and 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.

The estimated base salary for this job is $205000 - $295000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors including but not limited to specific skills or certifications years of experience market changes and required travel. This job is also eligible to participate in Hurons annual incentive compensation program which reflects Hurons pay for performance philosophy. Inclusive of annual incentive compensation opportunity the total estimated compensation range for this job is $256000 - $398000 USD. The job is also eligible to participate in Hurons benefit plans which include medical dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.

Senior Director

United States of America