At a Glance
- Tasks: Lead AI product management to transform audit practices and enhance quality.
- Company: Join KPMG, a global leader in audit and advisory services.
- Benefits: Enjoy flexible working, competitive salary, and career development opportunities.
- Other info: Dynamic work environment with a focus on collaboration and inclusivity.
- Why this job: Be at the forefront of AI innovation in audit, making a real impact.
- Qualifications: Experience in product management and strong communication skills required.
Location: Aberdeen, Birmingham, Bristol, Cambridge, Cardiff, Edinburgh, Gibraltar, Glasgow, Leeds, London, Manchester, Milton Keynes, Newcastle upon Tyne, Nottingham, Reading, South Coast - Southampton, Watford
Capability: Audit
Experience Level: Senior Manager
Type: Full Time
Business Area: Audit Centre of Excellence (ACE), Technology
Contract type: Permanent
Grade: B
Summary of role purpose: The role will play a central part in delivering the audit practice's most significant AI-led transformations, including the accreditation and deployment of Agentic platforms and solutions, as well as reimagining central audit functions through AI. These initiatives are critical to scaling audit quality, accelerating delivery, and reshaping how audit expertise is accessed and consumed across the firm.
Description of the role: An AI Senior Product Manager within Audit's Clara Innovation & Deployment team drives the strategy, roadmap, and execution of AI and machine learning-powered products that enhance audit quality, efficiency, and insight. This role serves as the critical link between auditors, data scientists, engineers, and governance stakeholders to ensure the development of scalable, ethical, and high-impact AI solutions across the audit practice.
Key Responsibilities
- Lead the product management contribution to the accreditation, deployment, and adoption of agentic platforms and solutions, working closely with audit quality, risk, and governance stakeholders to enable safe, scalable use of advanced AI capabilities.
- Drive the reimagining of audit functions through AI, translating strategic intent into AI-enabled products and workflows that transform service delivery, improve responsiveness, and unlock new sources of audit insight.
- Define and manage the product vision, roadmap, and delivery strategy for AI and machine learning solutions within the audit domain.
- Translate complex audit processes and business needs into clear, prioritised product requirements that leverage AI and ML capabilities.
- Collaborate with data scientists, ML engineers, architects, and governance leads to deliver compliant, secure, and effective AI solutions.
- Ensure ethical and responsible AI design through alignment with Responsible AI frameworks, bias mitigation, transparency, and robust model lifecycle management.
- Track product success through adoption metrics, value measures, and user feedback, adjusting roadmaps accordingly.
- Engage with audit stakeholders to prioritise features, validate solutions, and drive user-centric product design.
- Lead cross‑functional delivery teams using agile methodologies, ensuring alignment to audit quality, risk, and strategic business outcomes.
- Provide thought leadership on emerging AI and ML technologies and their potential application within the audit profession.
Current and Upcoming Focus Areas
- AI-enabled audit agents and copilots embedded into core audit workflows.
- Scaling GenAI platforms (e.g. M365 Copilot and audit-specific AI platforms e.g. Clara AI & Clara Data Labs) with appropriate governance, monitoring, and accreditation.
- Industrialising AI delivery through AI-driven engineering approaches, reusable components, and platform-led delivery models (AI Factory patterns).
- Responsible AI governance, including model lifecycle management, auditability, transparency, and regulatory alignment.
- Driving measurable adoption, value realisation, and change management for AI across the audit practice.
Experience and knowledge requirements:
- Proven experience defining and delivering product vision, strategy and roadmaps for AI, data or tech-enabled products, from discovery through to deployment, adoption and value realisation. (E)
- Strong ability to translate complex business, audit and user needs into clear, prioritised product requirements and practical AI-enabled use cases. (E)
- Experience leading cross-functional teams and working effectively with engineers, data scientists, architects, governance leads and business stakeholders to deliver secure, compliant and scalable solutions. (E)
- Strong stakeholder management and communication skills, with the ability to influence senior audiences, build alignment, manage competing priorities and respond constructively to feedback. (E)
- Commercial and strategic judgement, including the ability to prioritise work based on business value, audit quality, risk, feasibility and measurable outcomes. (E)
- Understanding of responsible AI, data governance, model lifecycle management, transparency and risk considerations relevant to AI solutions in a regulated or professional services environment. (E)
- Experience working in agile, iterative delivery environments, using user feedback, adoption metrics and value measures to refine products and improve outcomes. (E)
- Experience managing, developing or coaching team members, with the ability to create momentum, bring people together and support high-performing delivery teams. (D)
- Technical product management experience or skills, including the ability to work closely with engineering squads, understand technical trade-offs, shape delivery plans and support technical delivery of AI use cases. (D)
- Experience in audit, assurance, professional services or another regulated environment, with an understanding of audit quality, risk and governance expectations. (D)
Behavioural Attributes and Skills:
- Staying current with technology trends
- Ability to build momentum and pivot when required
- Ability to balance innovation with regulatory expectations
- Proactive leadership
- Big‑picture thinking with detail focus
Qualifications:
- Product Management or Product Leadership Qualifications (D)
Senior Manager, AI Product Management in Birmingham employer: KPMG Careers
KPMG is an exceptional employer, offering a dynamic work environment where creativity and insight thrive. With a strong focus on employee growth, we provide ample opportunities for professional development and mentorship within our leading Indirect Tax practice. Located across the UK, our collaborative culture fosters innovation and strong client relationships, making KPMG a rewarding place to build a meaningful career in financial services.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager, AI Product Management in Birmingham
✨Tip Number 1: Get Involved in Consulting Case Competitions
Look for case competitions hosted by universities and consulting firms. They’re a fab way to showcase your problem-solving skills and meet industry players. Plus, winning one can seriously boost your CV, which we know is key when applying for roles like Senior Manager, AI Product Management at KPMG Careers!
✨Tip Number 2: Leverage Alumni Networks
Tap into your university’s alumni network; many consultants love to help out new talent. Reach out to alumni who are working in management consulting, they might have insider knowledge about openings at firms like KPMG Careers or be willing to refer you for that Senior Manager, AI Product Management position!
✨Tip Number 3: Attend Industry Events and Conferences
Keep an eye on management consulting events, workshops, or panels. These are prime opportunities to network with top professionals and get your name out there. You might even bump into someone from KPMG Careers who’s on the lookout for their next Senior Manager, AI Product Management star!
✨Tip Number 4: Polish Your Consulting Skills Online
Engage with online platforms that offer consulting simulations or courses. Prove your chops by completing relevant projects — this not only beefs up your experience but also gives you concrete examples to chat about during interviews for that full-time Senior Manager, AI Product Management role at KPMG Careers!
We think you need these skills to ace Senior Manager, AI Product Management in Birmingham
Some tips for your application 🫡
Show Your Problem-Solving Skills:In management consulting, it's all about problem-solving—so make sure your CV highlights your analytical and critical thinking skills. Include examples from your studies or previous roles where you tackled complex issues or came up with innovative solutions. Quantify your achievements whenever possible to demonstrate your impact!
Tailor Your Cover Letter:Your cover letter is your chance to explain why you're a perfect fit for the consulting world. Focus on your motivation for joining the industry and how your skills align with the requirements of the role at KPMG Careers. Remember to mention any relevant coursework or projects that showcase your understanding of strategic frameworks or business models!
Highlight Team Experience:Consultants often work in teams, so it's vital to showcase your collaborative skills. Include experiences where you've worked effectively with others, whether in academic group projects or internships. Discuss your role in the team and how you helped achieve common goals, demonstrating you can thrive in a consultancy environment.
Professionalise Your Online Presence:Make sure your LinkedIn and any other professional profiles are up to date, reflecting your career aspirations in management consulting. Connect with industry professionals and follow relevant groups—show you’re serious about entering this field. Applying through our website is a great way to get noticed, so showcase your personality and enthusiasm there!
How to prepare for a job interview at KPMG Careers
✨Master the Case Study Game
In management consulting, case study interviews are all the rage. Make sure to practice structuring your thoughts and analysing data on the fly. Use resources like example case studies to get comfortable with frameworks and solutions. Remember, it’s not just about getting the right answer but showcasing your thought process, so talk us through your reasoning!
✨Know Your Numbers
Be prepared for some numerical and analytical questions. Brush up on your mental math and be ready to interpret data from charts or graphs. We might throw some business scenarios at you that require a quick turnaround on numerical analysis, so practice these skills to feel confident and swift!
✨Show Your Leadership Flair
As this is a full-time role, we want to see your potential as a seasoned consultant. Be ready to discuss experiences where you've led a project or a team. Think about times you've influenced decisions or navigated challenges—this is your chance to show how you can thrive in a fast-paced, collaborative environment.
✨Be a Cultural Fit
We’re not just looking for brains; we want to see if you vibe with our company culture at KPMG Careers. Prepare to share how your values align with ours. Have a think about what makes a great team environment for you and how you can contribute to that. A good cultural fit goes a long way in management consulting!
