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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, with a strong focus on risk management, ethical considerations, and compliance with regulations. Capable of developing and implementing frameworks, conducting risk assessments, and providing actionable insights to stakeholders.
Highest-signal resume keywords
Responsible AI ImplementationAI Risk ManagementAI Governance FrameworksProject ManagementRisk Assessment and Control Testing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Risk ManagementResponsible AI PrinciplesRisk AssessmentControl TestingAI GovernanceData PipelinesAI Deployment LifecyclesRoot Cause AnalysisModel Risk ManagementPython
Soft Skills
Clear CommunicationStructured ThinkingProblem-SolvingAttention to DetailMentoring
Tools & Technologies
AI ToolingML Concepts
Certifications & Qualifications
AIGPISO 42001CISACISMCRISCCISSPISO 27001
Industry Keywords
AI GovernanceResponsible AIEthical RisksRegulatory ComplianceBig 4 ConsultingTechnology RiskInternal AuditAI LifecycleEU AI ActNIST AI RMF
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Lead and deliver AI Governance and Responsible AI engagements within timelines and budgets
- Advise clients on embedding Responsible AI principles across the AI lifecycle
- Design, assess, and implement AI governance frameworks, policies, standards, and operating models
- Perform AI use-case-level risk assessments covering ethical, regulatory, operational, model, data, and technology risks
- Define risk and control matrices for AI/ML systems aligned with leading frameworks and regulations
- Test the design and operating effectiveness of AI controls, including governance, model risk, data, security, and monitoring controls
- Conduct root cause analysis for AI-related issues and incidents and guide practical remediation solutions
- Develop actionable recommendations and executive-ready reports for senior stakeholders
- Assess traditional ML, Generative AI, and Agentic AI applications
- Guide clients on model risk management, human-in-the-loop controls, explainability, bias mitigation, and monitoring
- Stay current on AI regulations, standards, and best practices, including the EU AI Act, ISO 42001, NIST AI RMF, and OECD guidance
- Manage day-to-day client relationships and act as a trusted advisor to senior stakeholders
- Lead, mentor, and develop team members; review work products and provide feedback
- Contribute to practice growth, solution development, thought leadership, and go-to-market initiatives
Requirements
What you’ll need- 5+ years of experience in Risk Advisory, AI Risk, Technology Risk, Internal Audit, or AI/ML roles within Big 4 or comparable consulting/technology environments
- Hands-on Responsible AI implementation experience (non-negotiable), from a risk/governance or AI/ML execution perspective
- Experience in AI Risk Management & Governance, Responsible AI operationalization, AI/ML model risk assessments, or root cause analysis and remediation design
- Strong understanding of AI systems, data pipelines, and AI deployment lifecycles
- Bachelor’s or Master’s degree in Engineering, Computer Science, Risk Management, or a related field
- Strong understanding of AI risks, Responsible AI principles, and AI governance
- Ability to translate complex AI concepts into practical risk and control solutions
- Experience performing use-case-driven risk assessments and control testing
- Strong project management skills, including planning, tracking, and risk management
- Professional certifications such as AIGP, ISO 42001, CISA, CISM, CRISC, CISSP, ISO 27001, or similar are desirable
- Working knowledge of Python, ML concepts, or AI tooling
- Clear, concise, and confident written and verbal communication
- Structured thinking, problem-solving ability, and attention to detail
Benefits
Comp & perks- Exposure to market-leading AI governance and Responsible AI engagements
- An environment focused on learning, coaching, and career progression
- Opportunities to work with global clients and cutting-edge AI use cases
- Flexibility
- Collaboration
- A culture built on trust and inclusion