Senior Director, AI Operations
$205,000–$295,000 year
On-siteChicago, Illinois, United States
Job Summary
Own the AI Operations charter, MVP definition, roadmap, and operating model within the Office of the CTO. Lead definition of the MVP for governed enterprise AI capability, including workload classes, priority use cases, Bedrock access needs, 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. Use AI tools to accelerate planning, architecture analysis, documentation, backlog development, and review of platform artifacts. Track success measures for governed access adoption, workload visibility, cost visibility, operational readiness, and agent safety. This Senior Director-level role combines strategic program leadership with practical platform understanding to help teams move faster through appropriate governance.
Required Qualifications
- 12+ years of experience in enterprise technology, platform leadership, cloud operations, AI enablement, digital transformation, or enterprise architecture
- 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
- Flexible living locations across the US
- Ability to travel as needed
Desired 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
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