Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Payroll Transformation Managing Consultant

Career Moves
Southend-on-Sea
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Product Data Scientist

Senior Product Data Scientist

Senior Product Data Scientist

Senior Product Data Scientist

Career Moves are partnering with a leading consulting firm specialising in helping organisations navigate digital transformations and HR innovations. The Employee Experience & HR team is dedicated to rethinking employee experiences and establishing data-driven digital HR functions powered by emerging technologies.


As a Payroll Transformation Managing Consultant/Senior Manager, you will engage with diverse clients across various industries, helping them achieve sustainable business outcomes through complex Digital HR Transformations. You will shape and deliver various programs, generate innovative solutions, and provide hands-on delivery, all while identifying new business opportunities.

Key Responsibilities:

  • Lead payroll or HR implementations, managing client relationships and delivery teams.
  • Pursue new client opportunities in HR Transformation, focusing on payroll processes.
  • Facilitate large HR program deliveries, assess risks, and drive project conclusions.
  • Coach and develop junior team members, fostering their growth.
  • Utilise digital technologies to enhance HR capabilities.


Business Development and Internal Contributions:

  • Lead and contribute to proposals, bids, and client pitches.
  • Participate in internal think-tanks, whitepapers, and practice development activities.
  • Engage in training and certification programs to support your career growth.


Desired Experience:

  • Proven experience in payroll transformation programs, including system, process, and service design.
  • Experience delivering HR transformations using cloud technologies (SuccessFactors, Workday, Oracle) and tools enabled by AI/RPA and Machine Learning.
  • Ability to develop service delivery models and HR strategies.
  • Expertise in leading transformation and change management in large organisations.
  • Experience in proposition building and delivery within a matrixed organisation.


PLEASE NOTE: Unfortunately, due to the volume of applications we receive we are unable to respond to unsuccessful candidates.

If you have not heard from us within 7 days of sending your CV, unfortunately you have not been selected for the position

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.