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AI Governance – Controls Analyst
3Core Systems, Inc. Help operate and continuously improve enterprise AI and agent governance processes .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI governance, technology risk management, and data governance, with a strong ability to develop dashboards and metrics for operational data. Proficient in maintaining technology inventories and governance documentation while collaborating with cross-functional teams to ensure compliance with AI governance requirements.
Highest-signal resume keywords
AI GovernanceResponsible AIData GovernanceDLPMicrosoft Copilot Studio
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Technology RiskSecurity GovernanceData ClassificationIdentity/Access ManagementControl DocumentationRisk AssessmentsDashboard DevelopmentException ReportingAI WorkflowsAgent Development
Tools & Technologies
Microsoft CopilotServiceNowSAPEnterprise AI Platforms
Industry Keywords
AI Control TestingAudit ReadinessGovernance EvidenceOperational MetricsConnector Reviews
Tech Stack
Tools & technologiesServiceNow
About the role
Key responsibilities & impact- 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 data classification, identity, connector, privacy, security, human approval, and appropriate AI usage requirements
- 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 development of an enterprise AI asset management/inventory capability
Requirements
What you’ll need- 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
Benefits
Comp & perks- Contract-to-hire opportunity
- Hybrid work arrangement: 2 days onsite and 3 days remote per week