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.

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.

You will get to work on exciting and intellectually stimulating projects and with clients of all sizes, from a variety of different sectors. You will have access to leading technology to help your clients navigate rapidly evolving times. Learn for a lifetime and be recognised for the impact you make as you further your career, alongside some of the brightest minds in Tax & Law. Celebrate diverse perspectives in a team where everyone is encouraged to come as they are and pursue initiatives that support the communities we serve.

Summary of Role

The SAP CDL is accountable for the quality of delivery of all SAP engagements, both functional and technical, through a matrixed team of Engagement Leaders and Engagement Managers. The CDL enables the growth of our SAP business by validating dealboard submissions, driving resourcing (on, near and offshore), embedding scalable and repeatable methods, incorporating lessons learned to improve delivery, and providing delivery assurance to SAP engagements.

Responsibilities

Sales

• Provide constructive challenge through the Deal Board and Solution Review processes with strong focus on delivery risk, client obligations, fixed price contingency level and risks that could erode EP and impact delivery success
• Identify and initiate new opportunities from existing SAP engagements
• EQCR for complex SAP deliveries – opportunity through to engagement

Capability Build  

Resourcing

• Grow team of SAP Engagement Leaders and Engagement Managers to ensure strength in delivery management
• Approve EL and EM accreditation requests for SAP service lines
• Maintain tight visibility of pipeline to ensure to resourcing budgets and targets are aligned and agreed for each year
• Manage timely resource planning and recruitment of functional and technical resources for all SAP engagements across all locations – on, near and offshore along with global reach to other KPMG locations and third parties
• Ensure engagement team make up contains the right skills experience and diversity

The Audit Technology team at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial Intelligence, Data Engineering, Data Analytics, and Software Development, the team is revolutionising the auditing process to deliver smarter, faster, and more reliable outcomes.

As a Lead AI Engineer, you will report to AI Engineering Squad Lead and lead the technical delivery of AI projects within your squad, collaborating with data scientists, engineers, developers, cloud architects, and audit professionals to create scalable AI systems that improve audit quality, efficiency, and insights.