Head of AI Transformation Portfolio

Practice Group / Department:

Legal Innovation, Design & Technology Leadership - London

Job Description

Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East. We provide a full scope of legal services to the world's preeminent corporations and financial institutions.

Our vision is to be a world class business, profitable, ambitious, cooperative and considerate, supporting our clients and people through our global business principles of Quality, Unity and Integrity.

With over 7,000 employees worldwide, our culture is the thread that connects us. Our strategy and culture are closed connected - defined by shared ambition, global collaboration and a one-team mindset. We believe pioneering work happens when people are empowered to think beyond boundaries, explore new opportunities and grow through diverse experiences. Alongside the right skills and experience, we are looking for people who are innovative, commercially minded, and motivated by the impact of the work they do - ready to share in our ambition and help shape what comes next.

Because while individuals can do well, together we achieve something extraordinary.

The Head of AI Transformation Portfolio leads the Central AI Team and is accountable for the firm's AI transformation portfolio: its objectives, prioritisation, strategic alignment, value delivery, readiness, governance, decision rhythm and overall coherence. It is a senior leadership role with reach across the firm, working directly with Executive Sponsors, the Digital Transformation Steering Board and senior leaders across practice, business services, technology, data, risk and security.

The role helps the firm translate AI ambition into practical, scalable and measurable outcomes, ensuring strategic intent is supported by the governance, capabilities, investment and organisational readiness required to deliver it.

The role does not replace programme ownership. Programme leads remain accountable for delivery within their domains. The Head of AI Transformation Portfolio is accountable for the integrated portfolio: defining portfolio objectives, sequencing, dependencies, governance, standards, decision support, value realisation and the resolution of issues that span more than one programme.

• Develop and maintain the firm's AI transformation portfolio strategy, drawing together business, legal delivery, technology, data and functional priorities into a coherent agenda with clear outcomes, milestones, decision points and measures of success.
• Lead portfolio governance and decision support, maintaining the integrated roadmap, preparing recommendations for the Digital Transformation Steering Board, and ensuring the firm has clear visibility of portfolio performance, dependencies, risks, readiness requirements and investment choices.
• Design and run governance that drives decisions rather than reporting:
  Board agendas should be built around choices, options, trade-offs and recommendations, with decisions tracked through to implementation.
• Own the Central AI Team's plan, setting priorities and sequencing activity so that the transformation progresses as a single integrated portfolio rather than a collection of independent initiatives.
• Turn ambiguity into decisions: frame complex issues, define options, expose trade-offs, build consensus around a recommended course of action, secure the decision and drive agreed outcomes through to implementation.
• Lead firm-wide decisions relating to AI governance, supplier strategy, regulatory compliance, client commitments, policy accountability, workforce implications, AI scale-readiness and operating model evolution.
• Maintain an external intelligence view across clients, competitors, vendors and adjacent industries, translating relevant developments into implications for portfolio choices, R&D priorities and areas of potential competitive advantage.
• Own the AI scale-readiness agenda, working closely with the CIO, CISO, data leadership and programme leads to identify the capabilities, controls, infrastructure, governance frameworks and investment required to support AI and agentic AI ablish pragmatic guardrails that enable appropriate use cases to progress whilst longer-term foundations are developed.
• Partner with client-facing, legal and business services leaders to identify, prioritise and deliver the AI use cases with the greatest potential in each of their areas, bringing capability, method and delivery support whilst each function retains ownership of change within its own operations.
• Partner with business and functional leaders to build the organisational capability required for AI adoption, including workforce planning, skills development, role evolution, operating model changes and the firm's AI champions network.
• Set and maintain the frameworks through which the transformation operates, including pilot…