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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 Compliance, with a strong focus on risk management, data privacy, and ethical leadership. Proven ability to translate regulatory obligations into actionable strategies while fostering collaboration across multidisciplinary teams.
Highest-signal resume keywords
AI Governance And ComplianceData Privacy And ProtectionRisk ManagementProject ManagementChange Management
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 RegulationsData Risk ManagementPrivacy LegislationEthics In AIMachine LearningData Science ApplicationsGovernance FrameworksCompliance StandardsOrganizational ResilienceGovernance Objectives
Soft Skills
Communication SkillsCollaboration SkillsLeadershipProblem-SolvingAdaptability
Industry Keywords
Data ProcessingTransparencyBias And DiscriminationAccountabilityEmerging Risks
About the role
Key responsibilities & impact- Work as part of a multidisciplinary team to provide secure AI use cases to clients
- Lead the development, implementation, and continuous improvement of governance and compliance work such as governance frameworks, policies, standards, processes, guidance, and training to uphold ethical principles and mitigate AI-related risk
- Serve as an AI use case reviewer, advising clients on strategies to promote trustworthy, ethical, and secure AI, and assist in enhancing future AI compliance-by-design initiatives
- Translate client strategy, regulatory obligations, and emerging risks into governance objectives, delivery roadmaps, priorities, and actionable AI workstreams
- Build and manage relationships with multidisciplinary client teams, including legal, technology, and business stakeholders, to integrate governance principles into AI, confidentiality, and privacy initiatives
- Monitor emerging AI regulations, technology developments, and leading practices, identifying opportunities to strengthen clients’ AI governance programs and drive continuous improvement
- Provide evidence-based insights and recommendations to senior leadership on governance maturity, compliance exposure, emerging risks, trustworthiness, accountability, and organizational resilience
Requirements
What you’ll need- Organizational and project management skills: proven ability to help drive issues to resolution, creating leadership reports, and ability to evaluate risk
- Minimum 5 years of related experience with relevant or transferrable knowledge (e.g., data privacy, artificial intelligence, innovative technologies, data protection regulation)
- Understanding of the interaction of AI regulations, privacy legislation and technology
- Demonstrated expertise in identifying, assessing, and managing AI and data risks, including privacy, ethics, regulatory compliance, bias and discrimination, transparency, and organizational risk
- Excellent communication and collaboration skills for working with cross-functional teams
- Model inclusive and ethical leadership behaviors that encourage diverse perspectives, collaboration, constructive challenge, and accountability
- Ability to communicate strategic data protection topics, regulations, and standards as well as risk-related concepts to technical and non-technical audiences
- Motivates others: exhibits enthusiasm, positive professional attitude, integrity, and reliability. Demonstrated ability to develop high performing team members/teams, building relationships and networks and influencing others
- Adaptable and resilient: strong problem-solving abilities, flexible, able to navigate transformational growth and ambiguity, show initiative and anticipate needs, and able to focus on multiple workstreams at once
- Experience delivering outcomes on multiple priorities, managing deliverable timelines proactively to anticipate and solution challenges, and reporting on the status of multiple workstreams
- Knowledge of AI governance and compliance, data risk management, privacy, data processing and technologies, machine learning, data science, and their applications
- Ability to collaborate with diverse teams and influence decision-making at all levels
- Understanding of relevant laws, regulations, and industry standards related to AI governance and privacy
- Change Management Experience
- Project Management Experience