- AI Strategy & Governance : Lead strategic projects that monitor and report on the progress of AI development and drive initiatives that strengthen AI governance and compliance.
- AI Risk Assessment : Review AI Systems, identify risks, and recommend mitigating controls, requiring a solid understanding of AI governance frameworks and hands-on experience of implementing these.
- Platform Ownership : Manage and enhance platforms that enable users to input AI system information and perform AI risk assessments.
- Executive Reporting : Develop and maintain strategic dashboards for senior leadership, providing insights into AI progress and risk posture.
- Market Consolidation : Aggregate and analyze data from multiple markets to produce monetization reports and actionable insights for executives.
- Stakeholder Engagement : Collaborate with executives and cross-functional teams to align on AI strategy, gather requirements, and ensure successful delivery of projects.
- Thought Leadership : Stay ahead of emerging AI trends, regulatory requirements,
and best practices to guide AI strategy.
Required Skills And Qualifications
- Educational Background : Bachelors degree in Business, Computer Science, Data Science, or related field (Advanced degree preferred).
- Experience : Minimum 5 years of experience in data, Risk Management, AI strategy, or technology governance, with at least 2 years in a leadership role.
- Technical Expertise : Strong understanding of AI governance frameworks, risk assessment methodologies, and data strategy, with familiarity in analytics tools (e.g., Power BI) and enterprise platforms.
- Strategic Thinking : Ability to translate complex technical concepts into business strategies and actionable plans.
- Communication Skills : Exceptional ability to prepare executive-level presentations and reports, conveying insights clearly and persuasively.
- Collaboration : Proven track record of working effectively with senior stakeholders and cross-functional teams in a global organization.