Lead - Digitalisation (AI & Data Management)

Role Purpose

The Lead, Digitalisation (AI & Data Management) will drive the organisation's digital transformation journey by leading the development of a mission-driven digitalisation and data management strategy.

This role emphasises strategic planning, stakeholder engagement, and change leadership to transform service delivery and operations, supported by integrated digital systems, process re-engineering and use of AI.

Key Responsibilities

1. Develop and implement a Digitalisation & Data Management strategy and roadmap, ensuring alignment with the organisation's objectives.
2. Lead process standardisation and organisational transformation initiatives across the organisation's services.
3. Oversee the adoption of data-informed decision-making practices and promote data governance standards in collaboration with technical specialists.
4. Identify and evaluate AI and digitalisation use cases for operational efficiency and service impact, with due consideration for ethics and governance.
5. Establish risk management practices related to the use of AI, including identifying potential risks (e.g. bias, privacy, transparency), applying appropriate mitigation measures, and ensuring compliance with internal and external AI governance guidelines.
6. Build strong partnerships with service clusters, government agencies, technology partners, and external stakeholders to drive innovation.
7. Drive change management and staff adoption, ensuring digital initiatives are understood, accepted, and embedded in daily operations.
8. Establish clear success metrics and report on digitalisation and data management outcomes.
9. Work closely with IT and technical teams on solution design, procurement, and implementation.

Core Competencies

1. Business & Operational Acumen – Ability to understand organisational processes and translate needs into digitalisation opportunities.
2. Strategic Planning & Transformation – Experience in developing roadmaps, managing change, and leading organisational restructuring.
3. Stakeholder Engagement – Strong networks and collaborative ability with internal and external partners, including government and industry.
4. AI Awareness & Policy – Understanding of AI ethics, research, and governance, with ability to assess strategic application in operations.
5. Programme & Project Management – Skilled in setting up and managing cross-functional programmes with measurable impact.

Experience & Qualifications

1. Bachelor’s degree in Business, IT, Data Science, AI or related field; postgraduate qualifications in Business, Digital Transformation, AI or equivalent advantageous.
2. At least 8 to 10 years of experience in corporate planning, policy development, or transformation leadership across public, consulting, or corporate sectors.
3. Exposure to AI, digitalisation, or cybersecurity domains through consulting, research, or strategic projects.
4. Demonstrated success in managing organisational change, partnerships, and cross-sector initiatives.

Personal Qualities

1. Innovative & Adaptive – Comfortable navigating emerging tools, ideas, and approaches.
2. Analytical Communicator – Able to frame complex digital issues into clear, actionable strategies.
3. Collaborative Leader – Builds trust and alignment across teams and sectors.
4. Results-Oriented – Committed to delivering strategic and practical outcomes.

The selected candidate can look forward to a competitive remuneration package consisting of basic salary, 13th month AWS and variable/performance bonuses.

Interested and suitably qualified applicants, please apply here or email to:-

[email protected]

Reg No: R1550439

EA Licence No: 14C7334

We regret that only shortlisted candidates will be notified.