Director, Internal AI Operations

Job description

About the Job: LaunchDarkly is looking for a strategic, execution-oriented Director of Internal AI Operations to run and continuously improve how our company adopts and scales AI, establish the operational objectives, processes, and work plans that turn AI from a collection of tools into a measurable business capability and work with leaders across several functions to put the company’s AI direction into practice. Responsibilities: Reporting: Build and maintain visibility into AI spend and usage. Develop adoption, efficiency, and cost metrics and report on tool overlap, cost drivers, and open risks. Support Finance with forecasting, budget tracking, anomaly detection, and vendor and model-cost optimization. Functional and technical leaders own efficiency, waste, cost, usage, and ROI within their portfolios; AI Operations prepares regular reporting and flags performance gaps for follow-up. Portfolio management: Maintain the inventory of AI tools, initiatives, agents, vendors, integrations, owners, status, spend, risks, and dependencies. Establish the processes and standards that keep it accurate across teams. Reviews: Participate in reviewing new AI Vendor requests and own and manage the Internal AI Feature Review process from intake through decision, conditions, approval, exception, or rejection, coordinating inputs from Security, Legal, IT, and business owners. Policy operations: Develop and maintain the company’s Internal AI Policy supporting resources with Legal and Security, and the Executive team, along with supporting resources. Recommend policy changes and put approved changes into operation. Transformation and migration: Track the AI roadmap, migrations, platform dependencies, adoption milestones, resourcing, risks, and executive decisions. Partnership with our technology teams : Collaborate on new AI product initiatives, empowering our product teams with how they identify and deliver value around AI. Administration and audit: Define and audit standards for access, ownership, configuration, data controls, logging, retention, vendor settings, and offboarding. Communications and enablement: Own the Internal AI communications calendar, stakeholder updates, FAQs, launch materials, training coordination, and policy-change communications. CoE coordination: Establish a common cadence and minimum artifacts across distributed AI CoEs without centralizing the…