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.

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