Enterprise AI Operations Lead

Accountabilities:
The Enterprise AI Operations Lead will own the operational management, governance, and optimization of enterprise AI platforms and related infrastructure. This role requires a combination of technical expertise, operational discipline, and strong cross-functional collaboration. Administer enterprise AI deployments across conversational AI platforms and coding assistants, including user provisioning, permissions, workspace configuration, and integration management. Configure and maintain AI tooling guardrails, including managed settings, permission controls, approved and restricted tools, and policy enforcement across developer environments. Govern AI connectors, extensions, integrations, and tool requests by evaluating security, compliance, and data-handling considerations through established approval processes. Manage internal AI knowledge sources used for retrieval, including intake processes, trust classification, source inventories, freshness monitoring, and access controls. Partner with Legal, Security, and Data Privacy teams to review regulated data risks and ensure responsible AI usage practices. Build and maintain reporting dashboards tracking AI adoption, active users, licensing utilization, spending trends, and operational performance. Monitor AI platform costs, token consumption, and usage patterns while identifying opportunities for optimization and efficiency improvements. Analyze adoption metrics and provide leadership with insights into AI performance, risks, opportunities, and governance maturity. Support security and compliance activities through audit preparation, access reviews, documentation, vendor coordination, and governance evidence management. Monitor AI usage for policy exceptions, unusual behaviors, and potential risks while collaborating with relevant teams on mitigation strategies. Requirements: The ideal candidate has strong experience in IT operations, enterprise SaaS administration, and technology governance, with the ability to manage emerging AI platforms in a secure and scalable way. 5+ years of experience in IT operations, systems administration, technical operations, or related technology roles. Demonstrated experience applying governance, risk management, or compliance principles within enterprise technology environments. Experience administering enterprise SaaS platforms, including user management, SSO/SCIM configuration, permissions, and audit log reviews. Hands-on experience creating and maintaining BI dashboards and recurring operational reports using Looker or similar analytics tools. Familiarity with AI-powered developer tools and agentic AI platforms, including permission models, autonomous workflows, and associated risks. Understanding of AI retrieval concepts such as RAG, connectors, knowledge bases, source governance, and access control considerations. Ability to manage AI governance frameworks focused on security, compliance, data protection, and responsible adoption. Strong analytical skills with the ability to interpret usage data, identify trends, and recommend improvements. Excellent communication skills with the ability to collaborate across technical and non-technical teams. Strong organizational skills and the ability to manage multiple priorities in a fast-evolving technology landscape. Benefits: Competitive salary range of $122,000 to $145,000. Variable compensation opportunities alongside base salary. Comprehensive benefits package including medical, dental, vision, life, disability, critical illness, accident, FSA, HSA, identity protection, pet, and legal insurance. 401(k) retirement plan with company matching contributions up to 5%. 12 weeks of paid parental leave to support growing families. Tuition reimbursement program and opportunities for continued professional development. Flexible work schedules and remote work capabilities depending on team needs. Generous time off package including four weeks of vacation, 12 sick days, 11 company holidays, and personal days. Wellness programs, fitness challenges, and employee rewards. Opportunity to contribute to innovative AI initiatives within a collaborative and mission-driven environment.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
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