Title: Strategy & Performance Transformation, Industrial Markets and Defence - Assistant Manager

Location: London

The Opportunity

KPMG’s Strategy & Performance Transformation practice is looking for exceptional candidates for an Assistant Manager role, with experience in Industrial Markets and Defence (IM&D) across one or more of our core propositions: Enterprise-wide Transformation, Growth Strategy, Cost and Operational Strategy, and Commercial and Operational Due Diligence.

The Strategy & Performance Transformation 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 Advisory practice.

Our Strategy & Performance Transformation team works closely with c-suite and senior executives to identify and execute transformation opportunities that add and protect value for shareholders, employees and society. As the world continues to face unprecedented levels of change, we have experienced significant market demand for our core services. We are now accelerating our mission to create value, by turning ambitions into reality, through executing sustainable, fair and profitable business strategies, at pace.
 

Responsibilities

To be an effective Assistant Manager within our Strategy & Performance Transformation applicants will be expected to:

• Liaise effectively with clients while working on engagements and act as an 'ambassador' for KPMG
• Design and run small projects and / or large, complex workstreams with limited oversight
• Product client-ready deliverables that exceed expectations and require limited review
• Develop solutions to complex problems and challenge the thinking of more senior colleagues and clients
• Contribute to thought leadership and knowledge management activities
• Construct detailed financial / business models performing complex scenario and sensitivity analysis
• Ensure the firm's risk management frameworks are adhered to
• Be a strong effective team player
• Provide timely feedback and coaching to other team members
• Support practice development activities to ensure successful delivery of initiatives

The Person

Skills and Experience

Successful applicants will demonstrate the following:

• Experience working in a leading strategy house, Big 4 firm, public sector organisation or strategy / development team in industry
• Strong foundational understanding of the value drivers within IM&D
• Experience of leading project workstreams and take responsibility for small teams
• Prior involvement in business development activity and ability to contribute to thought leadership and knowledge management initiatives
• Ability to work effectively and collaboratively with team members and broader (internal and external) stakeholders 

Technical Skills

• Evidence of strong problem-solving & analytical capabilities
• Structured thinking skills combined with creativity
• Ability to evaluate complex challenges and deliver insightful recommendations that can be practically executed
• Ability to gather, review and assess large volumes of technical data and distil the key strategic insights
• Strong num

The Powered Apps teams are communities of technology focussed professionals who work together to deliver SaaS ERP based transformation programmes based on KPMG Powered Enterprise. The teams use their functional knowledge and experience (e.g., Finance, HR, Procurement), coupled with their expertise in the cloud applications (e.g. Oracle, Workday, Coupa) to lead and deliver client programmes, to support pre-sales activities and to develop improvement and extensions to the Powered Enterprise model. KPMG are growing their Powered Apps team to meet an ever-increasing demand for our market leading services and are seeking IT management consultants with relevant expertise and experience.

At KPMG, our values define who we are and the way we do business. As a leading professional services firm, we know that our strength and capability come from our people: their different perspectives, experiences and backgrounds. From our inclusive leadership strategy, to our diversity and inclusion targets – we are making bold changes to who we are and what we do. Be part of it.

KPMG's Employment Solutions practice is a dynamic and successful area of our business and provides the opportunity to develop relationships with clients across a range of sectors and size as you deliver advice in areas such as governance (including all aspects of PAYE, payroll, NMW, holiday pay, CIS compliance), employment status including IR35/off payroll workers, reward and benefit planning.

An opportunity exists for a Senior Manager in our national team. 

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.