The Finance Business Partner acts as a strategic advisor, combining financial insight with commercial acumen to influence decisions and drive performance. This role balances robust financial control with proactive engagement, ensuring the service line achieves its strategic and operational goals.

Associate Director - Deal Execution - Integration & Separation

KPMG’s Deal Execution practice is looking for exceptional candidates for an Associate Director 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 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.

As a Director you would provide senior leadership to the team, working closely with other Directors and Partners in IAG P&U as part of a ‘one team’ culture.  You would have particular responsibility for building our competition finance practice, leading projects related to competition economics, profitability and regulatory reporting.

A key focus for KPMG’s GCT team is to help multinational groups and financial services clients manage their global tax compliance, reporting and statutory accounting obligations, through outsourcing, co-sourcing, transformation and technology. More information about our team is at the end of this job description.

The Tax Technical team is a critical enabler to all tax activities within GCT and provides expertise into KPMG’s complex tax audits.  Audit quality is of paramount importance and to do this efficiently, we maintain a dedicated and enthusiastic team of tax specialists.  We are also the engine room of the tax reporting, compliance, governance and low-level advisory work undertaken by the wider GCT team – servicing large domestic compliance clients as well as our Global Compliance clients.

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.