Director of Artificial Intelligence

AI Strategy & Digital Transformation Leader

Based in London

Permanent role

We are seeking a high-calibre leader to fill a vacancy within our clients Digital & Technology Services leadership team. This role is designed for a "builder-strategist", someone who can not only architect sophisticated AI and technology strategies but also convert those strategies into multi-million-pound consulting engagements. You will act as a trusted advisor to C-suite executives and Private Equity boards, guiding them through the complexities of agentic AI adoption, enterprise systems optimization, and operating model disruption.

The ideal candidate possesses a rare blend of commercial acumen, senior stakeholder influence, and deep technical fluency capable of bridging the gap between board-level business goals and solution architecture.

Key Responsibilities

1. Business & Practice Development

• Revenue Generation: Jointly own and drive a significant revenue target for the practice, identifying and securing strategic AI advisory engagements.
• GTM Strategy: Define and execute go-to-market strategies for AI/ML service lines, spanning advisory, agentic systems, and decision science.
• Commercial Innovation: Develop innovative commercial models, including risk-based contracting and IP licensing for proprietary AI accelerators.
• Ecosystem Management: Cultivate and negotiate strategic partnerships with cloud hyperscalers and AI technology vendours to create joint value offerings.

2. Strategic Advisory & Stakeholder Communication

• C-Suite Partnering: Serve as a "Trusted Advisor" to CEOs, COOs, and Boards, translating complex AI paradigms into tangible business value and competitive advantage.
• PE Value Creation: Advise Private Equity firms on technical due diligence and rapid value-creation strategies for portfolio companies.
• Thought Leadership: Represent the firm at technology conferences and industry forums, contributing to the global dialogue on AI innovation and enterprise transformation.

3. Technical Strategy & Solution Architecture

• AI Architecture: Architect enterprise-wide AI strategies, including agentic AI adoption frameworks that reshape cloud economics and infrastructure.
• Modernisation & Cost Optimisation: Design technology roadmaps that optimize legacy systems costs (IT transformation) while future-proofing for AI-native environments.
• Specialised Methodologies: Oversee the delivery of advanced technical solutions, such as causal machine learning, probabilistic forecasting, and graph-based algorithms.
• Governance & Risk: Establish robust AI governance frameworks and risk management protocols for regulated industries (e.g., Financial Services, Pharma, Energy).

4. Team Leadership & Capability Building

• Scaling Practices: Help build and scale high-performing AI/ML teams, overseeing talent acquisition and skills development.
• Operational Excellence: Define organizational readiness models and "automation-first" approaches to reduce operational costs and improve delivery scalability.

Required Competencies & Experience

• Experience: Extensive experience in technology strategy, with a proven track record of architecting AI-enabled enterprise transformations.
• Technical Breadth: Deep understanding of LLMs, agentic systems, predictive analytics, and DevOps/SRE practices.
• Communication: Exceptional ability to navigate organisational dynamics and drive consensus for high-stakes technology investments.