Head of Volume Management

Mitie
Leeds
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Data Scientist Placement

Head of Data Science

Head of Data Engineering (AI)

Head of Data Engineering (AI)

Head of Data Engineering (AI)

Join us and help deliver the exceptional, every day.


Job Overview


The Volume Management team are the custodians of all knowledge around volume for our customers. They ensure all systems are maintained and contact accurate data to enable all teams to carry out their duties. They are also responsible for the creation of volume forecasts on behalf of our customers to feed into various systems / outputs.


Our Volume Management team provides support to all departments within our Energy and Decarbonisation division and covers volume forecasting, analytical reporting, and some administrative duties for our customers on both fixed and risk managed flexible energy contracts. This position will be responsible for the accuracy and quality of outputs presented to our customers and providing insight driven analytics to our internal teams.

The successful candidate should have a good level of technical knowledge in energy volume management, hedging principals, systems and market fundamentals.


This position will be responsible for the day-to-day management of the team as well as management of the processes that are followed by working with our heads of department to ensure a seamless delivery to our customers.


The successful candidate should have an extensive level of technical knowledge in energy systems, supplier relationships, and have an extensive knowledge of industry charges / systems whilst maintaining a focus on customer management.


Main duties

• Collaborate with our C-Suite customers, establishing strong relationships and offering valuable insights to help them make well informed decisions related to energy and carbon management

• Lead a team of talented energy professionals, ensuring constant opportunities for career growth and development within the team. Completing regular catch ups and annual MiReviews

• Identify and evaluate growth opportunities within the Corporate and SME markets, owning a pipeline of potential projects which will be tracked through our Igniting Growth workstream, and ultimately contributing to the success of the company

• Develop new products such as 24/77 energy around our customer's energy usage building in all energy sources and legislation

• Build bespoke M&T analysis customers and internal teams that will flag, track and highlight areas of abnormal energy usage and provide appropriate actionable insight to our customers

• Expand the teams capability to process and analyse data via BEMS where available to us either directly via our customers or through our TSOC teams

• Collaborate with the trading desk in the analysis of risk management performance, supplementing with delivery of hedging reviews, volume tolerance analysis and other reports as required

• Collaborate with other internal teams to understand non commodity charges applied to customers and present future risks to the wider business

• Any other duty which reasonably falls within the scope of this role

Requirements

• You have at least 5 years' experience or knowledge of the energy sector, particularly in non-commodity charges and supply contract variables

• You will possess an understanding of how volume is recorded and fed through the UK Energy Industry via all relevant parties. Ideally understand the data flow process from end to end

• You have at least 5 years' experience of using energy management solutions / systems to assist you to track, monitor, and optimise energy use for end user customers or internal Energy Management teams

• An understand UK's transmission and distribution frameworks and policy developments for renewable technologies, including existing and new support mechanisms for renewables and interaction with wider market design

• You have experience of monitoring and targeting techniques and be able to demonstrate how these are used to highlight energy use anomalies

• Ideally, you will have experience in forecasting or modelling energy volume

• You excel at producing high-quality communications and presentation materials for senior audiences, with the ability to convey complex topics simply and compellingly.

• Ideally, you will have experience of linking into BEMS to help provide analysis for end user customers

• You have strong quantitative and qualitative skills, you are highly organised with strong interpersonal and management skills with an ability to work to tight deadlines and self-manage priorities amongst multiple tasks

• You possess a demonstrable knowledge of the tools that can be applied to strategic challenges, and you're adept at using these to navigate and resolve complex issues.

• You're willing to work across a range of issues and able to adapt quickly as priorities change

• High proficiency in MS Office applications, including Word, PowerPoint, Access and Excel

• Programming experience in Matlab, SRSS and SQL would be desirable


Knowledge, skills & experience

• Proven background in working in an energy services team

• Demonstrable experience in leading teams

• Track record of working with large data sets, with appreciation of data visualisation

• Knowledge of all industry partners including the MOP/DC/DA market

• An understanding of energy and carbon management terminology, principles, and methodologies

• Proven ability with Excel and other data analytic tools

Person Specification

• Computer literate with a good working knowledge of Microsoft Excel

• An ability to work to deadlines

• An ability to work fast, but accurately

• High attention to detail

• Being able to work under pressure

• Excellent written communication skills

• Self-motivated

• Organised and accurate

• An understanding of the Utilities industry would be beneficial but not essential

• Able to demonstrate self-reliance and ability to manage own time and priorities


The successful candidate will be based in London, Northampton or another Mitie office, but also be expected to attend meetings at customer sites from time to time. Flexible working from home is available 2-3 days per week at management's discretion

Our market-leading offering provides you with benefits that suit your lifestyle.

We have a virtual GP on hand for you and members of your household. So you can get expert advice by video or phone without having to leave your home. We offer financial wellbeing assistance through our Salary Finance scheme. For example, you could access 50% of your earned pay before payday for a small fee. Salary Finance also offers competitive loans.


When you join us, we’ll give you a link to our flexible lifestyle benefits platform, Choices. You might choose to purchase up to five extra days’ holiday each year. You might buy critical illness insurance, seek dental treatment or buy technology products at an affordable cost. There are many choices!


We give you access to high street discounts from thousands of well-known retailers, gyms and more through our MiDeals platform. And we have a cycle-to-work scheme. Life cover of up to four times your salary is available. We also offer enhanced pension contributions, a save-as-you-earn scheme, and a Mitie Matching Share Plan (you could even be awarded free shares in Mitie).

We award our employees with Mitie Stars as recognition for their hard work. There are cash prizes up for grabs each month and at the end of the year there’s a chance to scoop a top prize of £10,000!


Our success is a direct result of the experience and quality of our people. Progressing your career is therefore a top priority for us. We offer a diverse variety of training and development avenues via a wide selection of learning resources to suit you.


Since 1987, Mitie’s 68,000 employees have been maintaining companies globally. We are the UK’s leading facilities management and professional services company, and our clients range from household names in banking, critical government sites as well as hospitals and schools.


Join our Mitie Team.

Together our diversity makes us stronger.

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 Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.