Overview
Operationalize practical AI governance processes to enable responsible, trusted, and impact-focused AI adoption. Translate AI governance expectations into clear workflows, tools, guidance, and decision materials.
Key Responsibilities
- Conduct intake analysis, triage, and lifecycle tracking for AI use cases and AI-enabled solutions.
- Maintain visibility on AI initiatives, risks, safeguards, decisions, and follow-up actions.
- Contribute to monitoring, reporting, and audit readiness of AI governance.
- Develop practical enablement materials that help staff understand and apply responsible AI expectations.
- Monitor AI trends, emerging risks, regulatory developments, and peer practices to generate insights for governance, strategy, and value realization.
- Review AI intake requests and support assessment of scope, risk indicators, required information, and governance pathway.
- Manage AI governance records, including inventory entries, risk classifications, safeguards, decisions, and open actions.
- Coordinate with business, technology, legal, risk, security, data, and other expert teams to progress governance reviews and related deliverables.
- Support monitoring of higher-risk AI solutions, including outputs, issues, control evidence, remediation actions, and status updates.
- Contribute to the development of staff enablement materials on responsible AI use, including guidance notes, FAQs, checklists, examples, playbooks, and training content.
- Track AI trends, regulatory developments, emerging opportunities and risk themes, as well as peer practices; synthesize implications for the institution’s approach to AI strategy, governance, and value realization.
- Prepare concise briefs, trackers, dashboards, talking points, and decision materials for governance discussions.
Required Experience
- Bachelor's or Master's degree with 2 years of experience or equivalent combination of education and experience (for example, in the IT field: Bachelor’s Degree with a minimum of 1 year of related work experience).
- Experience in AI, data, digital transformation, risk, compliance, policy, governance, management consulting, or a related field.
- Familiarity with AI, data, analytics, machine learning, generative AI, responsible AI, or technology governance concepts.
- Strong analytical skills, with the ability to structure ambiguous problems and develop practical options.
- Strong writing and synthesis skills, including concise briefs, summaries, meeting notes, and presentation materials.
- Proven ability to coordinate work across teams, manage follow-ups, maintain organized records, and drive tasks to closure.
- Interest in responsible innovation and the ability to balance risk awareness with practical business enablement.
Qualifications
• Bachelor's or Master's degree
