Payroll Transformation Managing Consultant

Career Moves

Southend-on-Sea

1 year ago

Applications closed

Related Jobs

View all jobs

Head of DevOps and DataOps

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.

Industry Insights

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

Feb 9, 2026

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Feb 2, 2026

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Jan 23, 2026

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.