Director, Internal AI Operations

New

Location: Remote - USFull-TimeDirector

SalaryZone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $269,400 - 370,480; Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $242,500 - 333,410; Zone 3: All other US locations - $229,000 - 314,930. All Zones inclusive of 15% Bonus Target

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Job Details

Experience: 15+ years of progressively responsible experience ... including 5+ years leading teams or complex cross-functional programs.
Required Skills: PythonSnowflakeMicrosoft ExcelChange Management

Requirements

Have 15+ years of progressively responsible experience in AI or technology operations, enterprise systems, data and analytics, FinOps, governance, transformation, or a related field.
Have 5+ years leading teams or complex cross-functional programs.
Demonstrate success designing, implementing, or scaling an operating model across multiple functions, including ownership, policies, processes, metrics, governance, and measurable outcomes.
Bring experience managing an enterprise portfolio of AI or technology tools, vendors, integrations, or platforms, including lifecycle management, access, administration, risk, controls, contracts, usage, and spend.
Use tools such as Snowflake, Excel, Python, or equivalent for financial and data analysis.
Be able to define adoption, efficiency, unit economics, ROI, and business-value metrics and turn complex data into executive-ready recommendations.
Have experience with spend visibility, forecasts, budget controls, vendor or model-cost optimization, cost avoidance, waste reduction, and value-improvement plans.
Communicate complex topics clearly, present recommendations to senior and executive leaders, and influence diverse stakeholders.
Have experience influencing functional and technical leaders without direct authority and driving follow-through across cross-functional teams.
Understand responsible AI, data governance, privacy, security, vendor risk, and change management.
Bring systems thinking, program management, prioritization, and change leadership skills.
Have experience hiring, coaching, or developing teams and building partnerships across Finance, IT, Security, Legal, Procurement, and business functions.

Responsibilities

Build visibility into AI spend and usage, develop adoption, efficiency, and cost metrics, and report on tool overlap, cost drivers, and risks.
Support Finance with forecasting, budget tracking, anomaly detection, and vendor and model-cost optimization.
Maintain an inventory of AI tools, initiatives, agents, vendors, integrations, owners, status, spend, risks, and dependencies.
Manage the Internal AI Feature Review process from intake through decision, coordinating Security, Legal, IT, and business-owner input.
Develop and maintain the Internal AI Policy and supporting resources with Legal, Security, and the Executive team.
Track AI roadmap items, migrations, platform dependencies, adoption milestones, resourcing, risks, and executive decisions.
Collaborate with technology teams on AI product initiatives and help product teams identify and deliver value.
Define and audit standards for access, ownership, configuration, data controls, logging, retention, vendor settings, and offboarding.
Own internal AI communications, stakeholder updates, FAQs, launch materials, training coordination, and policy-change communications.
Establish a common cadence and minimum artifacts across distributed AI CoEs without centralizing technical or domain ownership.

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