Operationalize enterprise AI governance by maintaining AI and agent inventories, processing intake and assessments, validating data, identity, privacy, connector, and security controls, monitoring usage and cost thresholds, producing dashboards and evidence, supporting audits and attestations, and partnering with engineering, security, privacy, data governance, architecture, and business teams.
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
Similar Jobs
Machine Learning • Payments • Security • Software • Financial Services
Leads complex, multi-workstream product initiatives as a principal Product Owner. Owns product vision, strategy, backlog integrity, prioritization, and Scrum team alignment. Coordinates Product, Engineering, Design, Delivery, and other stakeholders; improves execution discipline, transparency, and outcome tracking. Stabilizes programs with fragmented ownership or elevated delivery risk while ensuring customer and business requirements are addressed. Requires substantial Product Owner or Senior Product Manager experience, preferably in payments or financial services.
Top Skills:
Agile DevelopmentData VisualizationScrumUx Design
Machine Learning • Payments • Security • Software • Financial Services
Develops and maintains SOC monitoring content, detections, alerts, threat-hunting procedures, playbooks, and documentation. Provides senior investigative guidance and escalates complex security issues, leads security improvement initiatives, ensures compliance with governance requirements, recommends corrective actions, and mentors junior analysts. The role also conducts security assessments, forensic investigations, risk mitigation, and data security activities.
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Leads configuration management for software and hardware products, ensuring documentation consistency, configuration control, delivery accuracy, and compliance with Boeing and program standards. Maintains CM records, supports change boards, responds to audits and customer inquiries, and manages CDRL and SDRL submission schedules. Reviews supplier and subcontractor data submissions for contractual compliance and timeliness. The role is fully onsite and requires an active U.S. Secret clearance.
Top Skills:
Automated BuildsConfiguration Management SystemsData Tracking SystemsDevsecops
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
