AI Governance & Controls Analyst

Job Title: AI Governance & Controls Analyst Location: Denver, CO (Hybrid- 2 days onsite & 3 days remote in a week) Durations: 10 months Contract-to-Hire What We're Looking For: We are seeking an Operational AI governance professional who can bridge governance and technology. This person will own the day-to-day mechanics of AI governance, including maintaining the inventory of AI and agent solutions, tracking controls and evidence, processing intake, validating data, identity, connector and privacy requirements, monitoring usage, cost and control thresholds, and producing governance reporting. The right candidate understands controls and risk but is also technically curious and comfortable working directly with teams building AI solutions. This person will help establish the guardrails that allow the organization to move quickly with AI while maintaining visibility, security, accountability, and control. Position Overview: We are seeking an AI Governance & Controls Analyst to help operationalize and mature an enterprise AI governance program as the organization expands its use of Generative AI, copilots, and agentic solutions. This is not a traditional compliance-only position. The ideal candidate will combine a strong understanding of AI governance, controls, risk, and data protection with enough technical depth to understand how modern AI and agentic solutions are built and deployed. The role will work closely with AI engineering, security, data governance, architecture, and business teams to help ensure AI solutions are appropriately inventoried, assessed, controlled, monitored, and governed throughout their lifecycle. Key Responsibilities: Help operate and continuously improve enterprise AI and agent governance processes. Maintain an authoritative inventory of AI and agentic solutions, including ownership, purpose, data sources, connectors, risk classification, controls, and review requirements. Support AI intake and assessment processes from initial request through design, build, testing, deployment, monitoring, review, and retirement. Evaluate solutions against requirements involving data classification, identity, connectors, privacy, security, human approval, and appropriate AI usage. Perform and coordinate DLP, connector, and access-control reviews. Monitor AI control, usage, cost, and value metrics and identify exceptions or potential control issues. Develop governance dashboards, reporting, documentation, procedures, and control evidence. Support AI control testing, audit readiness, and periodic attestations. Work directly with engineering and business teams to help them understand and meet AI governance requirements. Support the development of an enterprise AI asset management/inventory capability. Desired Experience: Experience with AI governance, Responsible AI, technology risk, security governance, data governance, or technology controls. Understanding of Generative AI, copilots, and agentic AI concepts. Familiarity with Microsoft Copilot Studio and/or other enterprise AI platforms. Understanding of DLP, data classification, identity/access management, connectors, privacy, and security controls. Experience maintaining technology inventories, governance evidence, risk assessments, or control documentation. Ability to develop dashboards, metrics, and exception reporting from operational data. Exposure to low-code development, AI workflows, or agent development is highly desirable. Experience working across Security, Privacy, Data Governance, Architecture, Engineering, and Audit teams. Exposure to platforms such as Microsoft Copilot, ServiceNow, SAP, or similar enterprise technologies is a plus