Job description
Data & AI Director – Data Management
Many of our clients are undergoing rapid digital & data transformation, leveraging data to enable readiness for AI & Generative AI (GenAI), drive operational efficiencies, and mitigate reputational, financial and regulatory risks via effective data management. Our highly specialised Data & AI team works across the data lifecycle to enable end to end management, governance, and usage of data, to create Data & AI solutions that produce tangible business value.
Our UK-based Chief Data Officer (CDO) Advisory team collaborates globally with KPMG's business, data, engineering and cloud specialists to design and implement state-of-the-art data solutions, AI systems, and products. We work across diverse industries, including Financial Services, Retail, Public Sector, Healthcare, Energy, and Utilities, enabling data driven 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 Data & AI-led transformation.
Roles & Responsibilities
Technical Leadership:
1. Lead and manage teams developing Data Management solutions for enterprise-scale challenges, including:Data Lineage, Quality, and Data ControlsData Products & CataloguingMetadata Management Data Risk ManagementRegulatory driven Data Management and transformationData Readiness & Governance for AI & GenAI Enablement.
Business Development & GTM:
2. Develop market-facing Data Management offerings to drive revenue growth.
3. Work closely with industry sector teams to tailor Data Management solutions for specific market needs.
4. Shape Data Driven transformation programmes and secure new business opportunities through innovative Data & AI solutions.
5. Drive RFP responses and business development efforts, crafting compelling proposals that showcase technical excellence and commercial viability.
6. Contribute to Data Management thought leadership by authoring white papers, participating in industry panels, and presenting at industry conferences / events.
People:
7. Play a key role in the leadership team, driving the growth and development of our Data Management capability.
8. Support team expansion through hiring, mentoring, and coaching colleagues to foster a high-performing, inclusive culture.
9. Contribute to knowledge management, ensuring best practices, insights and innovations are effectively shared across the team.
10. Oversee resource planning and process optimisation, enhancing operational efficiency and scalability.
The Person
11. Significant experience in Data Management and/or other related capabilities in one or multiple industries.
12. BSc (MSc or PhD preferred) in Computer Science, STEM, or similar technical field.
13. Strong background in programme management, transformation, and delivery, with a track record of large scale programme delivery.
14. Proficient with relevant tooling (e.g. Solidatus, Collibra).
15. Up-to-date knowledge and hands-on experience relevant regulations across industries.
16. Excellent problem-solving skills and the ability to work collaboratively in a cross-functional team.
17. Strong communication skills with the ability to communicate complex technical concepts clearly to non-technical stakeholders.
18. Strong planning and organisation skills to work with a high-performance team, handle demanding clients and multitask effectively.
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