The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We blend audit expertise with the latest technology, enabling us to understand the challenges our customers face daily and develop indispensable products that simplify their lives while promoting Audit Quality.

The KPMG Clara engineering team is dedicated to building cutting-edge Analytics and AI products for our Audit business. We blend audit expertise with the latest cloud technologies to build and run products that simplify the lives of our audit colleagues while promoting Audit Quality.

As a crucial member of the team, you will collaborate with a talented mix of Product Owners/Managers, Solution, Cloud and Enterprise Architects, Experience Designers, Business Analysts, and Testing specialists to build, deliver, and manage a portfolio of truly exciting products.

KPMG’s Powered Enterprise is the world-class accelerated Enterprise Business Transformation framework for cloud-based solutions that covers all 6 layers of a customer’s Target Operating Model. It supports customers to make better and faster decisions that drives positive business outcomes, reduces implementation effort while improving ROI. It combines our leading business consulting practice, technology capabilities and insights into a complete solution for intelligent enterprises.

The Powered Apps teams are communities of business and technology focussed professionals who work together to deliver KPMG Powered Enterprise through a standardised delivery model. The teams use their functional knowledge and experience (e.g. Finance, Supply Chain, Procurement), technology expertise (S/4HANA, CFin, RISE, BTP, MDG, etc.) and SAP SaaS applications (Ariba, SuccessFactors, etc.) to enable customers run successful business transformation programmes enabled by SAP technology.

Powered Enterprise is KPMG’s world-class accelerated Enterprise Business Transformation approach for cloud-based solutions driven by a pre-defined back-office function based on leading practices and KPMG’s six-layer Target Operating Model. The target operating model comprises of service delivery model, people, process, technology, data & insight and governance & controls. This solution combines the breadth and scale of KPMG’s leading practice, capabilities and insight into what makes a world class corporate services function with the latest in ERP technology provided by the leading SaaS ERP vendors such as Oracle.

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.

As an Oracle Programme Manager, you will be responsible for managing a portfolio of Oracle projects, ensuring successful safe execution, and maintaining strong client relationships. You will lead multi-disciplined teams to drive delivery excellence, leveraging Agile, Waterfall & Hybrid methodologies. Additionally, you will play a key role in business development, commercial proposition creation, and financial & commercial oversight.

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.