AI Strategy Lead

Job Title: AI Strategy Lead

Purpose of the Role:

The AI Strategy Lead shapes and governs the enterprise AI agenda working with the director in defining vision strategy roadmaps and value realization across AI programmes. The incumbent manages and coordinates crossfunctional delivery establishes governance and responsibleAI practices manages the AI portfolio and performance measures and builds capability and change management to safely scale AI impact.

Key Accountabilities

• Defines & socializes Enterprise AI strategy operating model and multiyear roadmaps making proposals / recommendations to the Director and gaining buy-in from stakeholders to align investments to priority outcomes
• Establishes & chairs AI governance (covering ethics risk compliance and the model lifecycle) ensuring all AI solutions consistently adhere to enterprise policies standards and controls to ensure safe auditable and compliant adoption
• Manages AI portfolio performance indicators and value tracking ensuring all solutions are aligned with approved AI KPIs OKRs and business stakeholder expectations to priorities initiatives and evidence benefits realization
• Aligns architecture platforms and reusable accelerators (data model operations) developing standardized AI patterns and repeatable delivery frameworks in collaboration with business stakeholders to reduce timetovalue and duplication
• Builds capability through communities of practice training and playbooks engaging business stakeholders to scale skills and standardise delivery
• Engages stakeholders including vendors and regulators to manage risk contracts budgets and communications to ensure business stakeholders needs are addressed
• Guides responsible-AI assessments and model-risk reviews incorporating business stakeholder perspectives to embed fairness transparency and human oversight
• Reports progress and risks to executive forums providing insights relevant to business stakeholders to support decisions and course corrections

Critical Experience & Knowledge Required

• 7 years progressive experience in data analytics and AI including leadership of cross-functional programmes
• Proven success designing and implementing enterprise AI strategies governance frameworks and value management in regulated environments
• Expertise in AI ethics risk compliance and model lifecycle management with direct regulatory and audit engagement
• Strong track record of stakeholder engagement executive influence and leading organizational change for AI adoption
• Advanced knowledge of AI/ ML platforms architecture and delivery of standardized solutions at scale
• Solid experience working in agile delivery models
• Bachelors degree in computer science information technology data engineering or a related quantitative discipline
• Relevant professional certifications in a quantitative business or policy field would be an asset