EPM Consultant

Henderson Drake
Nottingham
11 months ago
Applications closed

Henderson Drake is excited to partner with a leading organisation specialising in Adaptive Planning solutions. This esteemed company is dedicated to driving innovation and delivering exceptional value to its clients through cutting-edge technologies and strategic insights. With a strong focus on enhancing operational efficiency and fostering data-driven decision-making, they have established a reputation for excellence in the industry.


Key Responsibilities:


  • Establish and maintain strong relationships with key stakeholders, understanding their business needs and challenges to deliver tailored Adaptive Planning solutions.
  • Lead the development and execution of Adaptive Planning strategies, leveraging your EPM background to ensure alignment with clients' business objectives and drive long-term value.
  • Oversee the successful implementation of Adaptive Planning tools and processes, guiding clients through best practices and ensuring optimal utilisation of technology.
  • Mentor and develop junior consultants and project teams, fostering a culture of collaboration, innovation, and continuous improvement.
  • Stay abreast of industry trends, emerging technologies, and competitive landscapes to provide clients with innovative solutions and thought leadership.
  • Define and track key performance indicators (KPIs) to evaluate the success of Adaptive Planning initiatives and drive continuous improvement.


Qualifications:


  • Bachelor’s degree in Business, Finance, Data Science, or a related field; MBA preferred.
  • Experience in consulting, with a strong focus on EPM solutions.
  • Hands-on experience with Adaptive Planning projects is desirable but not essential.
  • Accountancy qualification (e.g., CIMA, ACCA) preferred.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Exceptional communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels.


If you have a background in EPM delivery and are looking to expand your expertise into Adaptive Planning, we encourage you to apply and join a team that values innovation and excellence!

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.

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.

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.

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.