VP - Privacy & Responsible AI Governance

provides time?bound, execution?focused support to Independent Compliance Risk Management across privacy, records management, and responsible AI activities. The role is focused on delivering defined workstreams, coordinating stakeholders, producing high?quality written outputs, and identifying and documenting privacy and AI compliance risks within agreed timeframes.

The role operates within established frameworks and governance, supporting delivery during periods of increased workload, regulatory change, or program activity., * Deliver assigned privacy, records management, and AI governance tasks against agreed scopes, timelines, and deliverables.

• Coordinate inputs from Compliance, Risk and the first line of defense to support timely completion of reviews and assessments.
• Support execution of the AI use case lifecycle review process, focusing on identification and documentation of privacy, records, and responsible AI risks.
• Identify, assess, and clearly document privacy and AI compliance risks, control gaps, and remediation actions.
• Maintain action trackers, issue logs, and supporting documentation to ensure transparency and audit readiness.
• Prepare clear and concise written outputs, including review summaries, risk assessments, governance materials, and status updates.
• Manage multiple tasks in parallel through effective prioritisation, organization, and time management.
• Support implementation of updated policies, standards, or regulatory requirements as directed.

• Experience delivering compliance, risk, privacy, records, or data governance activities in a structured, task?driven role.
• Proven ability to quickly engage stakeholders and progress work within defined parameters.
• Working knowledge of privacy and records regulations and awareness of AI?related compliance and governance risks.
• Strong written communication skills with the ability to produce clear, well?structured documentation.
• Highly organized, self?directed, and comfortable working to defined deadlines in a matrixed environment.