Process Analytics & Automation Manager

KPMG
Liverpool
3 months ago
Applications closed

Related Jobs

View all jobs

Manager Data Engineer - D&ET - Technology Consulting - Belfast & Derry/Londonderry

Financial Data Analyst

Data Engineer (Asset Management)

AI & Data Engineer - KTP Associate

Director of Artificial Intelligence - Manufacturing & Industrial

Data Ops Engineer

The Role

 

Our ‘Process & Automation Enablement’ capability sits within Connected Technology Consulting but works across all our functions. Process & Automation Enablement delivers a large amount of assurance and advisory work in helping clients get more value out of their Enterprise data, Enterprise Resource Planning (ERP) Business Management systems, specifically SAP, Oracle and D365 as well as GRC and/or data analytical solutions on top of the ERP. We implement, configure, manage and risk-manage data-centric solutions, and help our clients organise, assure and improve their data; supporting our clients to make better decisions by fully harnessing the power of their data.

Our key propositions include:

 

• Process mining and intelligence using tools such as Celonis, and implementation of process mining solutions
• Design and implementation of low-code platforms for process and controls automation Appian, OutSystems, PowerPlatform and KPMG’s own Sofy platform.
• ERP, Process and Risk analytics
• Enterprise Automation using RPA, workflow and other automation tools (e.g. Automation Anywhere, UIPath)

 

As a Process and Automation Manager, you will focus on process mining and intelligence using cutting edge Celonis Process Mining (EMS) technology to gain unprecedented insights into how our clients operate their business. You will be expected to lead and/or support process mining review and implementation services by acting as a bridge between clients, internal Celonis developers and ERP (Oracle, SAP, etc.) process experts. This will include hands-on development of process and data models and building of custom KPI/KRI dashboards to help clients gain better insight into their operations, identify non-compliances, deviations, leakages and other anomalies in their processes.

 

Further details are as follows:


• Supporting Managers and Senior Managers in overseeing technical delivery, managing engagements, maintaining morale and good mental health in the team and managing client relationships.
• Build data models and dashboards on Celonis EMS that create digital twins of our business processes for analysis.
• Present implementation progress reporting / results to senior level executives and process teams.
• Identify and quantify opportunities for process improvement based on the insights gained from Process Mining.
• Conduct product roll-out and training for Celonis users within the business.
• Responsible for driving growth of the Process Mining and Intelligence capability by developing new business from existing clients across the firm, as well as from new prospects.
• Involved in product development and innovation activities, to ensure that KPMG’s Process Mining and Intelligence capability remains market leading on a global scale, as well as the development of our people and skills.

 

This role requires advanced Process Mining experience, and understanding and passion for data analytics, assurance and advisory services. The successful candidate will be involved in client facing and client relationship building across of range of corporate and non-corporate clients.
 
The Person

 

• Recognises the importance of continuous self and team development and actively strives to achieve this
• Evidence of being an active listener, strong team player and willingness to develop new skills and capabilities 
• Helps others to understand how their work contributes to the overall success of an engagement and the wider firm
• Seeks to understand others motivation
• Makes brave decisions and supports others in doing so

 

Background:


• A degree in Business Analytics, Computer Science, Information-oriented Business Administration/ Economics, Mathematics, Physical Sciences, Engineering or related fields
• 2 years or more technical experience in process mining (e.g. Celonis) in a senior role with either a leading company or within a consulting environment
• Good knowledge of finance or operational processes (e.g. supply chain)
• Strong interpersonal, analytical and issue resolution skills
• Experience of preparing exception reports, advisory documentation and presentations to a high standard.
• Track record of effectively managing engagements and providing quality assurance and taking accountability over the outcomes
• Track record of delivering, owning and overseeing high quality deliverables such as test plans, operating process documentation
• Experience managing internal and external stakeholders, including management level colleagues
• Strong ability to organise and prioritise your own work and that of others to meet project requirements
• Experience with project management principles including progress reporting, activity tracking, and identifications of risks/dependencies
• Good communicator with the ability to build strong and lasting relationships
• Evidence of being an active listener, strong team player and willingness to develop new skills and capabilities and certifications

 

Technical experience/ skills


• Building integrations, data models, process maps and KPI dashboards in Celonis
• Implementation of Celonis EMS - preferred but not essential
• Celonis Certification - preferred but not essential
• Experience in SQL, Extract Transform Load (ETL) methodologies and working with databases (e.g. Oracle and SAP)
• Experience of designing and building integrations/ interfaces
• Good knowledge of PQL / SQL / Python or R
• Excellent analytical skills, interest in Big Data and Data Mining
• Experience of using data analysis tools in an ERP environment, e.g., SQL (MS and Oracle), R, Python, Alteryx, Celonis, Qlik, PowerBI, Tableau – preferred but not essential
• Good PowerPoint experience to produce impactful presentations
• Use of automation and robotics technologies, e.g., UiPath, Automation Anywhere, MS Power Apps, Appian (or other low code) – preferred but not essential
• Basic understanding of risks and controls relating to the governance and management of enterprise IT – preferred but not essential 
• Basic understanding of the emerging UK regulatory framework on internal controls, and the impact to Clients – preferred but not essential 
 

At KPMG, your long-term future is every bit as important to us as it is to you. That's why our aim is to give you experiences that will stay with you for a lifetime. Whether it's great training and development, mobility opportunities or corporate responsibility volunteering activities - you'll gain a wealth of experiences on which to build a rewarding career. We're a firm that encourages you to be yourself, values your contribution, and inspires you to act as a role model, always focused on doing the right thing for each other, our clients and our communities.


We're at our best when you're at your best; that's why we've created 'Our Deal' and 'The Academy'. Our Deal is the way we speak about the colleague experience and the expectations we have of our people. We expect the best from our people and in return we provide a stimulating, collaborative environment where each person can reach their extraordinary potential. Through 'The Academy', you'll have access to communities which will support and develop you so that you build your skills and career. From introducing secondment programmes to preferential banking, and student loan payments to your birthday off, we're making sure that our people have an amazing experience.


While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a balanced lifestyle. We offer part time roles with flexible working arrangements which could include, annualised hours, early or late starts to fit around other commitments, shorter working days etc. We are happy to discuss your own requirements and our range of flexible working arrangements in more detail, should that be of interest and, as part of the recruitment process, we can put you in touch with people who work flexibly.


KPMG are proud to be an inclusive, equal opportunity employer and we seek to attract and retain the best people from the widest possible talent pool. As a member of the Business Disability Forum we're committed to ensuring that all candidates are treated fairly throughout the Recruitment Process. Should you be successful after the initial application stage, please discuss with your recruitment contact any reasonable adjustments to our Recruitment Process that you may require.
KPMG consistently features in the Sunday Times Best Big Companies to work for, which has been recognised with a special achievement award to mark our 10 years in the Top 25. We pride ourselves on being a place where your individuality is valued; you can be yourself and still achieve your potential. We believe that your individuality helps us to deliver the best results to our clients. Diversity of background, diversity of experience, diversity of perspective - that's the KPMG difference. But, don't take our word for it, find out more about diversity at KPMG by viewing our Policy

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.