Program Director

Role overview

Program leadership and governance

• Lead enterprise transformation from strategy through execution and benefits realisation.
• Establish and manage governance frameworks, steering committees, forums, and operating rhythms.
• Oversee workstreams, managing scope, timelines, quality, risks, and dependencies.
• Resolve critical escalations and report progress, risks, financials, dependencies, and outcomes to executives.
• Ensure quality assurance and compliance with enterprise standards.

Data, AI, and architecture

• Define enterprise Data and AI strategies aligned with business objectives.
• Prioritise AI and data use cases by business value, feasibility, and strategic importance.
• Develop AI operating models, governance frameworks, and transformation roadmaps.
• Drive innovation and adoption of emerging data and AI technologies; measure impact, value, and ROI.
• Set architecture and technology direction, ensuring alignment, security, scalability, and interoperability.
• Guide data platforms, integration architecture, and technology roadmaps for sustainable solutions.

Team and stakeholder leadership

• Build and scale Data, AI, analytics, and transformation teams and establish relevant Centres of Excellence.
• Define capability-building strategies, operating models, and talent plans; mentor senior leaders.
• Promote knowledge sharing, innovation, reusable assets, and best practices.
• Advise C-suite executives and manage relationships with senior clients, government stakeholders, partners, and other strategic stakeholders.
• Facilitate executive decisions with insights, options, risks, and recommendations; align cross-functional teams.
• Represent the organisation in strategic forums, leadership reviews, and external engagements.

Required experience and skills

• 15+ years in program management, digital or technology transformation, data, AI, or enterprise architecture.
• Proven leadership of large, complex, enterprise-scale transformation programs.
• Strong Data and AI strategy, governance, operating model, and value-realisation experience.
• Strong understanding of enterprise architecture, data platforms, integration, and technology strategy.
• Experience building and managing AI/Data Centres of Excellence or similar transformation practices.
• Strong executive stakeholder management and C-suite communication skills.
• Experience managing senior teams and multiple cross-functional workstreams.
• Strong understanding of governance, financial and risk management, and delivery assurance.
• Excellent communication, presentation, negotiation, and influencing skills.

Preferred qualifications

• A bachelor’s or master’s degree in technology, engineering, computer science, business administration, or a related discipline is preferred.
• An MBA or equivalent management qualification is preferred.
• PMP, PgMP, PRINCE2, TOGAF, SAFe, or AI/Data certifications are advantageous.