Director Data Analytics & AI

Job description

Director – AI

 

The Team
Many of our clients are undergoing rapid digital transformation, leveraging AI including Generative AI (GenAI) to drive operational efficiencies, enhance customer experiences, and mitigate reputational, financial and regulatory risks. Our highly specialised Data and AI team applies cutting-edge AI/GenAI techniques and industrial-scale cloud platforms to accelerate these journeys. Our projects involve processing vast and complex data sources, developing advanced AI models, and deploying scalable AI-driven solutions that create tangible business value.

 

Our UK-based AI team collaborates globally with KPMG's business, engineering and cloud specialists to design and implement state-of-the-art AI systems and products. We work across diverse industries, including Financial Services, Retail, Public Sector, Healthcare, Energy, and Utilities, enabling AI-powered decision-making and automation.

 

At KPMG, we believe in fostering an inclusive and diverse environment. Our strength lies in our people—their expertise, innovation, and unique perspectives. Join us to be part of an exciting AI-led transformation.

Roles & Responsibilities

 

Technical Leadership:

 

Lead and manage teams developing AI and GenAI solutions for enterprise-scale challenges, including:Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)Autonomous AI Agents for workflow automationAI-powered decision intelligence systemsAI ethics and responsible AI implementation Deliver AI solutions across the full lifecycle, from PoCs and MVPs to production-grade deployments. Ensure AI model robustness, governance, security and regulatory compliance.

 

Business Development & GTM:

 

Develop market-facing AI offerings to drive revenue growth. Work closely with industry sector teams to tailor AI solutions for specific market needs. Shape AI/GenAI-enabled transformation programs and secure new business opportunities through innovative AI-driven solutions. Drive RFP responses and business development efforts, crafting compelling AI proposals that showcase technical excellence and commercial viability. Contribute to AI thought leadership by authoring white papers, participating in industry panels, and presenting at AI/GenAI conferences.

 

People:

Play a key role in the leadership team, driving the growth and development of our AI capability. Support team expansion through hiring, mentoring, and coaching colleagues to foster a high-performing, inclusive culture. Contribute to knowledge management, ensuring best practices, insights and innovations are effectively shared across the team. Oversee resource planning and process optimisation, enhancing operational efficiency and scalability.

 

The Person

Significant level of experience in AI, data science, data engineering and/or other technology related capabilities in one or multiple industries. BSc (MSc or PhD preferred) in Computer Science, Statistics, Engineering or similar technical field Strong background in AI engineering, software engineering, data engineering and data platforms, with a track record of overseeing full-stack development and delivering production-grade solutions. Proficient with programming languages used by data scientists and AI engineers such as Python, R, Scala. Proficient with modern development tools such as Git and Docker. Up-to-date knowledge and hands-on experience with AI/ML technologies, including a broad range of libraries and tools such as Azure AI/ML Studio, Azure OpenAI, GCP Vertex AI, LangChain, LangGraph, PyTorch, Scikit-learn. Excellent problem-solving skills and the ability to work collaboratively in a cross-functional team. Strong communication skills with the ability to communicate complex technical concepts clearly to non-technical stakeholders. Strong planning and organisation skills to work with a high-performance team, handle demanding clients and multitask effectively.

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