Manager - Customer Centric Transformation

KPMG UK
Birmingham
1 month ago
Applications closed

Related Jobs

View all jobs

Manager (Data Science)

Product Manager – Smart Diagnostics & Digitalization

Product Manager – Digitalization

Product Manager – Digitalization

BI Manager/ Platforms Engineering Manager

Research Manager (Quantitative)

Job details

Location:Aberdeen, Birmingham, Bristol, Cambridge, Cardiff, Edinburgh, Gatwick, Glasgow, Leeds, Liverpool, London, Manchester, Milton Keynes, Newcastle upon Tyne, Norwich, Nottingham, Plymouth, Reading, South Coast - Southampton, Watford

Capability:Consulting

Experience Level:Manager

Type:Full Time

Service Line:Customer, Ops & Infr

Contract type:Permanent


Summary of Role Purpose:

This role sits within our Connected Front Office capability, which brings together expertise in Sales, Marketing, Service and Experience Design to transform the way businesses interact and engage with their customers. We help our clients connect with their customers on multiple levels and channels by embedding awareness of and benefit to the customer in every aspect of the business.


Description of the role:

We are seeking a highly experienced and strategic Manager to join our growing Customer team within the Retail & Consumer sector. You will play a leadership role in delivering impactful experience design projects for our clients, leveraging your deep expertise in customer journey mapping, user research, and digital transformation. You will also be responsible for managing a team of consultants and contributing to the growth of KPMG's experience design practice. This Manager will play a crucial role in helping KPMG deliver impactful experience design solutions that drive customer satisfaction and business growth for clients in the retail and consumer sector.

In this client facing role, you will use our pre-built assets, robust methodology and technology alliances to enable greater speed to value for our clients and support us in growing our revenue stream and Practice now and for the long term.

Whilst we anticipate continuing to work in a hybrid model, sharing working days between the KPMG office and home, this role may require travelling within the UK or abroad to meet specific client demands.


Role dimensions:

Key Responsibilities:

  • Play a key role in bidding, winning and delivering customer-centric transformation engagements of significant size and scope
  • Lead and manage complex experience design projects:
  • Conduct user research and customer journey mapping to understand client needs and pain points.
  • Develop and implement experience design strategies that enhance customer engagement, satisfaction, and loyalty.
  • Design and prototype innovative customer experiences across digital and physical touchpoints.
  • Collaborate with cross-functional teams (technology, marketing, operations) to ensure seamless implementation of experience design solutions.
  • Manage project budgets, timelines, and resources effectively.
  • Mentor and guide junior consultants, fostering their professional development.
  • Support the day-to-day delivery lead on front office transformation projects from requirements gathering workshops all the way through to post-implementation support and adoption analysis
  • Contribute to the development of KPMG's experience design capabilities:
  • Stay abreast of industry trends and best practices in experience design, particularly within the retail and consumer sector.
  • Share knowledge and expertise with colleagues and contribute to the development of KPMG's intellectual property.
  • Identify new business opportunities and contribute to the growth of the experience design practice.
  • Help clients focus on generating value through their front-office investments, with a clear performance focus and value creation
  • Develop business cases and benefits tracking as part of client engagements
  • Work with our technology teams to prototype, test, integrate key technology solutions
  • Support the Customer leadership team and Consulting Market Leaders to build and action Go-To-Market plans within their industry, focussed on target clients


The Person:

Skills and Experience:

The ideal candidate is likely to have a blend of the following skills and experience:

  • From a consulting, design, technology services or industry-based background with experience of designing, building and delivering solutions
  • Exposure to customer-centric front-office transformation programmes (marketing, experience, sales or service)
  • Strong problem-solving mindset, comfortable working in ambiguous situations
  • Experience leading workstreams and associated deliverables for internal or external clients
  • Understanding of agile delivery
  • Financial Acumen: Understanding of financial concepts and metrics, including: Project budgeting and forecasting, return on investment (ROI) analysis, cost-benefit analysis.
  • Experience working with corporate organisations in Retail and CPG
  • Technical expertise: Deep understanding of experience design principles, methodologies, and tools.
  • Experience in identifying and developing new business opportunities
  • Client management skills: Ability to build strong relationships, manage expectations, and communicate effectively.
  • Industry knowledge: Strong understanding of the retail and consumer industry landscape and its specific challenges and opportunities.
  • Continuous learning: Commitment to staying up-to-date with the latest trends and best practices in experience design.


The Job Description:

At KPMG Customer we believe in the importance of creating consistently brilliant customer and employee experiences. The way we do that is by combining our unique Nunwood insights, with a talented team of experience designers alongside the transformation capability to make it real.

We bring together over 2,500 Customer practitioners in over 30 countries. If you believe what we believe – we’d love for you to join the team.


KPMG Overview:

KPMG in the UK is part of a global network of firms that offers Audit, Legal, Tax and Advisory services. Through the talent of over 16,000 colleagues we bring our creativity, insight and experience to solve our clients’ and communities’ biggest problems. We’ve been doing this for more than 150 years.

We aim to be universally recognised as a place for great people to do their best work. A firm known for our collaborative and inclusive culture, using technology to empower and equip our people to deliver outstanding work with real flexibility – through inspiring workspaces, innovative ways to collaborate and hybrid ways of working.

With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our mission is simple: To support the UK in a connected world. It guides everything we do, underpinned by our values: Courage, Integrity, Excellence, Together and For Better.


Apply for role

Why Consulting at KPMG?

Technology is a critical focus for us. It underpins everything we do. We're investing in technology like never before – not least because the pace of technological change is disrupting organisations in new and challenging ways. Through advanced data analytics and emerging tech-enabled solutions like AI and machine learning, we're helping clients across diverse sectors to navigate that change. We enable them to avoid any unnecessary risks and to uncover new, transformative opportunities that could give them a competitive edge. A career here means stretching your skills and honing your expertise by solving complex problems as part of a collaborative, results-driven and supportive team. Whether we're helping our clients to reduce their costs, make better decisions, improve efficiencies or deploy the latest technologies, we bring together broad specialisms and talents to deliver robust, connected solutions.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!