KPMG is creating a new "best in class" Testing Practice with a clear mission - to accelerate business change. By leveraging KPMG's considerable in-house industry knowledge with the leading test tools, methods and practices, KPMG is seeking to help our clients deliver efficient, high-quality change – while minimising risk.

We are currently recruiting Principal Advisors who can make a significant contribution to the creation and development of KPMG’s Testing Practice within the Management Consulting Technology Enablement team, through sector expertise, client engagement and delivery of new business opportunities.

Our Anaplan Practice is an area where we have built a strong track record and is of strategic importance to our growth. We are looking for an experienced Model Builder to join our team to design and deliver solutions that help our clients to achieve step changes in performance, productivity and profitability.

Sitting within the Global Mobility Service practice, the Business Travel and Remote Work team, through market-leading technology solutions and technical expertise, assist clients to transform the way they manage risk identification, compliance and advisory for internationally mobile employees.

KPMG’s business travel solution is built within KPMG LINK Go, our propriety Global Mobility Services technology platform. This team is responsible for implementing LINK Go for Business Travel, Remote Work, Assignment Management and broader tax and immigration services.

We are seeking a talented individual with experience of Procurement implementations and detailed working knowledge of Source to Pay software including one or more of the following; Coupa, Ivalua, Oracle, GEP, ZIP, ORO or ServiceNow. While predominantly focusing on ensuring successful delivery of our programmes you will play an important role in several key areas, including:
•    Procurement Solution Architectures – driving business strategy that meets the relevant client business, technology and regulatory requirements
•    Delivery Excellence – achievement of high-quality outcomes in the delivery of products or services to our clients. 
•    Practice Development – Ensuring that the team continues to deliver value to our clients through understanding leading practice developments, potential disruptors to the market in the shape of new technologies (including Agentic AI, intake and orchestration) and helping to ensure the team are sufficiently equipped to support our clients
•    Sales Support – Providing your experience and knowledge into the sales cycle ensuring our clients are set up for success  

Role: Manager: Customer Insight Transformation 

Location: Any UK, within occasional commuting distance from London, Leeds or Manchester

Why Join KPMG as a Manager-Insight Transformation, Research & Analytics?

This role sits in the Insight team, within the Customer & Ops practice at KPMG.

The team is responsible for capturing, organising and analysing customer data signals to help our clients drive growth through a better understanding of their customers, to drive impact and improve the reputation and efficiency of the Insight function within a business. The Insight team does this through 2 propositions: -

Voice of Customer (VoC): Programmes that continuously capture, analyse and act on customer feedback to drive enterprise decision=making.

Our role is to design, implement and deliver these programmes-Insight Transformation: Helping clients leverage AI to transform how they operate and activate insight to improve performance and effectiveness.

What will you be doing?

As a Manager within the Customer team, and specifically the Insight team, the candidate will be responsible for-Helping to translate the Insight Transformation proposition into structured, repeatable programmes and delivery playbooks that can be deployed consistently across clients

• Supporting business development by contributing to proposals, solution design, scoping and costing for Insight Transformation engagements
• Designing futurestate insight operating models (processes, governance, roles, data/tech enablers) for client insight functions.
• Working with clients to help build transformation roadmaps that sequence people, process, data, technology and change activities into a coherent delivery plan
• Planning and running insightfunction diagnostics (interviews, documentation review, maturity assessments) and synthesising findings into prioritised recommendations.
• Developing and continuously improving internal methods, templates and reusable assets so the Future of Insight proposition can be delivered at scale.
• Leading onshore and offshore teams to deliver high quality client engagements.
• Owning responsibility for the financial management of client engagements
• Acting as a role model to upskill junior and non-insight trained team members
• Developing client relationships to enhance the reputation of KPMG as an advisor of choice and identify further client opportunities in the Customer & Operations team.

What will you need to do it?

• Background in strategy/transformation consulting, including organisational design
• Strong research and analytics capability (survey design, sampling, methodology, data analysis, project management
• Proven project management skills, handling multiple workstreams within complex programmes.
• Experience leading and motivating teams to deliver highquality outputs on time and within budget.
• Ability to derive insights from data and communicate them clearly through compelling storytelling and visualisation.
• Familiarity with VOC tools (e.g. Medallia, Qualtrics, Power BI) and their ongoing management
• Solutions-focused mindset with strong presentation and stakeholder engagement skills.
• Confident in providing thought leadership and advising clients on strategic direction.
• Understanding of AI applications in insight generation and VOC optimisation.
• Experience in business development, including proposal design and costing

Personal Attributes

Passion for insight and data-driven decision-making AI first mindset, with interest in promoting and embedding AI across teams