Manager, IT (AI Enablement Manager, Digital Transformation/ AI Enablement)

Reporting to Senior Manager IT Operations, the successful candidate will be responsible for the following:

• Leading the organisation's AI enablement strategy by identifying high-value use cases and translating business needs into scalable AI solutions.
• Partnering with stakeholders across functions to capture requirements, prioritise opportunities, and define success metrics (value, adoption, risk).
• Designing and delivering enablement programmes (workshops, office hours, playbooks) to upskill teams on responsible GenAI usage and to prompt best practices.
• Establishing AI governance and guardrails in collaboration with Security, Risk, Legal and Data teams (privacy, IP, data handling, model risk).
• Coordinating with product, engineering and data science teams to pilot, validate, and scale AI solutions; manage delivery plans, timelines and dependencies.
• Developing and maintain an AI tools catalogue, intake process, and reusable assets (templates, evaluation checklists, model cards) where applicable.
• Driving change management and communications to increase adoption, including stakeholder engagement, success stories, and community building.
• Defining and tracking KPIs (usage, productivity impact, quality, risk incidents) and reporting outcomes to leadership with clear recommendations.
• Staying current on GenAI and enterprise AI trends and evaluating vendors/solutions.
• Acting as a trusted advisor to teams on solution design, feasibility, and responsible use to ensure measurable business value and compliance.

Job Requirements:

• Degree in Computer Science, Information Systems, Data/Analytics, Business, or related field.
• 5+ years of experience in digital transformation, product/programme management, analytics, or AI/ML enablement roles (GenAI experience preferred).
• Strong understanding of AI/GenAI concepts, model limitations, and evaluation approaches; able to translate between business and technical teams.
• Experience designing and delivering training, workshops, and change management initiatives; strong facilitation and stakeholder management skills.
• Knowledge of responsible AI, data privacy, and security considerations in enterprise environments; able to operationalise governance guardrails.
• Excellent communication skills (written and verbal) with the ability to influence and align stakeholders at all levels.
• Familiarity with common AI tools (e.g., Ms Copilot AI or equivalent), collaboration tools, and basic data literacy; comfortable working in an agile environment.