This is a senior leadership role within KPMG’s Customer team – one of the fastest-growing and strategically vital areas of our firm. We help our clients to transform the way they interact and engage with their customers. 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 generating a higher margin, longer term revenue stream for KPMG. 

• Providing technical transfer pricing advice to our Large Corporate clients on a broad range of topics
• Developing and maintaining client relationships including acting as the main point of contact for clients and relevant stakeholders
• Managing multiple projects concurrently and be able to tailor advice and deliverables to the size of the client and the budget for completing the project.
• Managing various projects across multiple jurisdictions and leading the day-to-day delivery processes
• Coordinating with KPMG's transfer pricing, international tax, indirect tax and advisory teams on a range of topics
• Financial management, including developing and managing project budgets and billing to ensure profitable delivery of client engagements
• Coaching and developing junior team members which will also include delivering training sessions and providing on-the-job coaching on a regular basis
• Ensuring timely reporting to senior management
• Actively contributing to identifying new opportunities and managing business development and marketing initiatives along with proposition and market leads

The Person

We are looking for candidates with the following skills/experience:

• Either a CTA, CA, ACA, ACCA or attained a Bachelors or Masters degree in economics, finance, law, accounting or equivalent qualification.
• At least 5 years of transfer pricing experience, preferably including experience of preparing transfer pricing documentation, tax value chain analyses, benchmarking, supporting with tax authority enquiries/Advance Pricing Agreements, project management and managing junior team members
• Sound judgement, including the ability to identify and evaluate risk issues and know when to involve others.
• Strong analytical skills and a commercial approach to resolving issues and providing advice
• High level of drive and enthusiasm with a positive attitude
• Strong commercial awareness
• Keen ability and willingness to keep up to date technically and develop the technical ability of the team below you.
• Ability to work autonomously and to take initiative as appropriate
• An appreciation of and/or understanding of ethical/risk issues within a client service environment
• Very strong people skills for engaging with our clients and team members
• Highly organised with excellent communication and project management skills

At KPMG, we support clients on their AI transformation journeys to drive profitability while mitigating reputational, operational, and financial risks. Our specialized Data & AI team leverages advanced analytical techniques and industrial-scale AI platforms to accelerate this transformation. Our projects span industries such as Financial Services, Retail, Public Sector, Healthcare, Energy, and Utilities, with a focus on extracting data insights, building AI models, and delivering value through engaging, data-driven stories.

Manager - Deal Execution - Integration & Separation

KPMG’s Deal Execution practice is looking for exceptional candidates for a Manager role.

The Deal Execution team is part of KPMG’s rapidly expanding Strategy Group, which delivers value for clients by challenging conventional thinking, bringing deep industry and functional insights and executing with investor-grade rigour.  We are a diverse team of over 150 practitioners, working collaboratively with and orchestrating KPMG’s broad set of capabilities within our Deal Advisory business, and are focused on continually enhancing value for clients across the deal and economic cycle. Our teams comprise of specialists capable of helping clients right through from conceptual thinking of buying a business to turning their business around in times of difficulty.

The Deal Execution Advisory Team

KPMG's Deal Execution Advisory Team is a growing and dynamic team. We work with both vendors and acquirers on mergers, acquisitions, divestments, exits and joint ventures, both pre and post-deal.

The team offers four key proposition areas:

Separation: Supporting vendors to plan and deliver a credible, discrete standalone entity to the Buyer with value preserved and business continuity in place from Day 1, including supporting the definition and implementation of transitional service agreements.

Integration: Pre and post deal integration design, planning and implementation to integrate the target business into the Buyer’s organisation whilst mitigating risk and enhancing value.

Synergies: Understanding the potential benefits and costs generated through a proposed transaction, and the associated plans, interdependencies, risks and issues for the delivery of base and stretch case targets.

Joint Ventures: Helping respective partners ensure the key value considerations are identified and prioritised early and delivered through the associated business plan, leveraging each party’s specific contribution and capabilities and managing broader stakeholder relationships.

Roles & Responsibilities              

To be an effective Manager within our Deal Execution applicants will be expected to:

• Build strong, trusted advisor relationships with client counterparts.  Establish role as day to day / key client contact on engagements
• Take day-to-day responsibility for smaller projects and manage significant

We are looking for a skilled and proactive Data Engineer with strong expertise in the Microsoft Azure data ecosystem, including Microsoft Fabric, Synapse Analytics, and Delta Lake. This role requires hands-on experience in building and optimising data pipelines and notebooks, transforming large datasets, and enabling data-driven decision-making across the organisation.

The successful candidate will play a key role in designing and implementing scalable data solutions, collaborating with both technical and non-technical stakeholders, and helping shape our modern data architecture.

Key Responsibilities

• Design, develop, and maintain robust data pipelines and notebooks using Synapse Analytics and Microsoft Fabric.
• Build and optimise complex data transformation and ingestion logic to support enterprise-level reporting and analytics.
• Leverage Delta Lake architecture to support both batch and streaming data processes.
• Develop high-quality, reusable code in Python and PySpark, following best practices and ensuring maintainability.
• Create insightful, interactive reports and dashboards using Power BI.
• Use Git and Azure DevOps (ADO) for version control and deployment workflows.
• Continuously improve the performance, reliability, and scalability of data systems.
• Advocate for best practices in data governance, data quality, and documentation.