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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI Governance and Responsible AI frameworks, including risk assessment, compliance, and the implementation of governance controls. Proficient in collaborating with multidisciplinary teams to enhance governance maturity and ensure adherence to regulatory requirements.
Highest-signal resume keywords
AI Governance FrameworksRisk Assessment ProcessesRegulatory ComplianceCollaboration with Multidisciplinary TeamsStrong Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
AI GovernanceResponsible AIModel Risk ManagementGovernance ControlsAI Lifecycle ManagementAI Risk AssessmentGovernance DocumentationAI AssuranceData GovernanceCompliance Processes
Soft Skills
Consulting SkillsClient AdvisingCommunication Skills
Tools & Technologies
NIST AI RMFISO/IEC 42001ISO/IEC 23894GRC PlatformsAI Governance Management Tools
Industry Keywords
Regulated IndustriesPrivacy RequirementsTechnology RiskHuman OversightAutonomous Workflows
About the role
Key responsibilities & impact- Design and implement AI Governance and Responsible AI frameworks, defining responsibilities, decision-making processes, accountability, and escalation procedures
- Establish AI risk assessment and classification processes to evaluate AI applications based on their business context, impact, and potential risks
- Translate applicable regulations, Responsible AI principles, and organizational policies into practical governance controls and documentation requirements
- Define governance checkpoints throughout the AI lifecycle, including testing, approvals, deployment readiness, monitoring, and periodic reviews
- Establish human oversight mechanisms that clarify when AI decisions require human validation, intervention, or escalation
- Collaborate with clients, engineering teams, Legal, Risk, Compliance, and Security specialists to implement governance requirements and evaluate their effectiveness
- Develop reusable governance documentation, assessment methods, control frameworks, and best practices
- Advise clients on AI governance maturity and improvement opportunities
Requirements
What you’ll need- Strong experience designing or implementing AI Governance, Responsible AI, model risk, technology risk, or comparable governance frameworks
- Experience translating governance policies into practical processes, risk assessments, controls, and approval workflows
- Understanding of AI lifecycle risks, including development, deployment, monitoring, accountability, and human oversight
- Experience working with regulatory, privacy, compliance, or technology-risk requirements relevant to the business environment
- Experience collaborating with multidisciplinary teams, including Legal, Risk, Compliance, Security, Engineering, and business stakeholders
- Strong communication and consulting skills, including the ability to advise clients, explain governance requirements, and support governance maturity assessments
- Knowledge of AI Governance and Responsible AI principles, including transparency, accountability, fairness, privacy, and human oversight
- Familiarity with recognized AI governance frameworks such as NIST AI RMF, ISO/IEC 42001, ISO/IEC 23894, or comparable standards
- Understanding of AI risk assessments, governance controls, audit evidence, compliance processes, and risk classification
- Working knowledge of GenAI, LLMs, RAG, AI agents, and automated decision-making systems
- Understanding of AI lifecycle management, governance documentation, monitoring, and approval processes
- Familiarity with data protection, technology risk, security, and relevant regulatory requirements
- Experience governing agentic AI systems, autonomous workflows, or complex AI decision-making processes
- Experience with AI assurance, model validation, Responsible AI testing, or red teaming
- Knowledge of governance, risk, and compliance (GRC) platforms or AI governance management tools
- Experience with AI data governance, including data provenance, quality, usage rights, and retrieval sources
- Experience working in regulated industries or across multiple regulatory jurisdictions
- Consulting or professional services experience, including governance assessments, client workshops, and development of reusable methodologies
Benefits
Comp & perks- International and multicultural projects
- Opportunities to work with leading technologies in Data, Cloud, and AI ecosystems
- Access to training programs and continuous professional development
- Professional growth opportunities and internal mobility
- A culture built on collaboration, innovation, and continuous learning