Note: The job is a remote job and is open to candidates in USA. Huron is a global consultancy that collaborates with clients to drive strategic growth and ignite innovation. The Senior Director, AI Operations will define and implement the AI Operations charter, guiding platform direction and ensuring effective governance for Huron's AI capabilities.
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
Skills
- 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
- 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
Benefits
- This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy.
- The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs.
Company Overview
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