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- Tasks: Lead teams in developing innovative Data Management solutions for enterprise challenges.
- Company: Join KPMG, a global leader in data and AI transformation across diverse industries.
- Benefits: Enjoy a collaborative culture, professional growth opportunities, and the chance to shape the future of data.
- Why this job: Be part of a dynamic team driving impactful data-driven decisions and AI solutions.
- Qualifications: Significant experience in Data Management; BSc required, MSc or PhD preferred.
- Other info: Contribute to thought leadership through white papers and industry events.
The predicted salary is between 43200 - 72000 £ per year.
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.
Technical Leadership: Lead and manage teams developing Data Management solutions for enterprise-scale challenges, including:
- Data Lineage, Quality, and Data Controls
- Data Products & Cataloguing
- Metadata Management
- Data Risk Management
- Regulatory driven Data Management and transformation
- Data Readiness & Governance for AI & GenAI Enablement
Business Development & GTM: Develop market-facing Data Management offerings to drive revenue growth. Work closely with industry sector teams to tailor Data Management solutions for specific market needs. Shape Data Driven transformation programmes and secure new business opportunities through innovative Data & AI solutions. Drive RFP responses and business development efforts, crafting compelling proposals that showcase technical excellence and commercial viability. Contribute to Data Management thought leadership by authoring white papers, participating in industry panels, and presenting at industry conferences / events.
People: Play a key role in the leadership team, driving the growth and development of our Data Management 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 experience in Data Management and/or other related capabilities in one or multiple industries. BSc (MSc or PhD preferred) in Computer Science, STEM, or similar technical field. Strong background in programme management, transformation, and delivery, with a track record of large scale programme delivery. Proficient with relevant tooling (e.g. Solidatus, Collibra). Up-to-date knowledge and hands-on experience relevant regulations across industries. 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.
Data & AI Director - Data Management employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Director - Data Management
✨Tip Number 1
Network with professionals in the Data Management and AI fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends. This can help you gain insights into what KPMG is looking for and may even lead to referrals.
✨Tip Number 2
Familiarise yourself with KPMG's recent projects and initiatives in Data Management and AI. Understanding their approach and challenges will allow you to tailor your discussions during interviews, showcasing how your experience aligns with their needs.
✨Tip Number 3
Prepare to discuss your leadership style and experiences in managing teams. KPMG values strong leadership, so be ready to share specific examples of how you've driven team success and fostered an inclusive culture in previous roles.
✨Tip Number 4
Stay updated on the latest regulations and technologies in Data Management and AI. Being knowledgeable about tools like Solidatus and Collibra, as well as current compliance standards, will demonstrate your commitment to the field and readiness for the role.
We think you need these skills to ace Data & AI Director - Data Management
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data & AI Director position. Familiarise yourself with KPMG's approach to data management and AI solutions.
Tailor Your CV: Customise your CV to highlight relevant experience in data management, programme management, and any specific tools mentioned in the job description, such as Solidatus or Collibra. Emphasise your leadership skills and experience in driving data-driven transformations.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data management and AI. Discuss how your background aligns with KPMG's goals and how you can contribute to their Data & AI team. Be sure to mention any thought leadership activities you've been involved in.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. Ensure that your writing is clear and professional, as strong communication skills are essential for this role.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Data Management tools like Solidatus and Collibra. Highlight specific projects where you successfully implemented data solutions, focusing on the impact these had on operational efficiency and risk management.
✨Demonstrate Leadership Skills
As a potential leader in the Data & AI team, share examples of how you've managed teams or projects. Discuss your approach to mentoring and developing talent, as well as how you've fostered an inclusive culture in previous roles.
✨Communicate Clearly with Non-Technical Stakeholders
Prepare to explain complex technical concepts in simple terms. Think of examples where you've successfully communicated data strategies to non-technical audiences, ensuring they understood the value and implications of your work.
✨Align with KPMG's Values
Research KPMG's commitment to diversity and inclusion. Be ready to discuss how your personal values align with theirs and how you can contribute to fostering an inclusive environment within the Data & AI team.
