RGM Director (12 Month Contract)

Jobleads
London
2 weeks ago
Create job alert

You will need to login before you can apply for a job.

Sector: Data Science | Role: Director | Contract Type: Permanent | Hours: Full Time

Job Description:

What are we looking for?

An expert in Revenue Growth Management either through leading a market team or a centre of excellence pillar. Critical skills are focused on the need for strong financial acumen, external and customer-focused mindset, and the ability to drive clear and compelling visions and how to get there. Specific call outs include:

  • A self-starter with a strategic mindset able to define longer-term strategy and engage stakeholders to support it. Required
  • Proven leadership experience in trade promotion management, commercial strategy, or revenue growth. Required
  • Strong understanding of FMCG/retail trade investments and promotional mechanics. Required
  • Ability to work cross-functionally and influence senior stakeholders. Required
  • A pro-active problem solver with strong analytical and financial acumen to assess promotional effectiveness. Required
  • Excellent communication and negotiation skills to align teams on strategic priorities. Required
  • Key account and category experience - Nice to have.


What will be your key responsibilities?

  • Define our longer-term promotional strategy and regional guidelines linked to our strategic cell strategy.
  • Step change our promotional approach to become snacking insight-driven (vs short-term volume opportunities) to maximize category value, ensuring we become outside-in focused to leverage industry best practices.
  • Drive excellence in the basics of promotional management through the region, including driving cross-functional collaboration and partnership with cluster teams.
  • Build best-in-class promotional insights and guidelines to support cluster teams in improving promotional impact.
  • Partner with Regional portfolio pricing director and regional portfolio directors to define longer-term promotional PPA for the region.
  • Oversee promotional investment governance and ensure compliance with financial guidelines.
  • Drive analytic solution roadmap to develop data-driven frameworks for measuring trade promotion ROI and impact.
  • Integrate promo investment strategy/guidelines into target pricing in partnership with the Regional channel pricing director.


What can you expect from Mars?

  • Work with diverse and talented associates, all guided by the Five Principles.
  • Join a purpose-driven company, where we're striving to build the world we want tomorrow, today.
  • Best-in-class learning and development support from day one, including access to our in-house Mars University.
  • An industry-competitive salary and benefits package, including company bonus.


Mars is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.Company

Learn more about this company

Visit this company’s hub to learn about their values, culture, and latest jobs.

Create a job alert and receive personalized job recommendations straight to your inbox.

#J-18808-Ljbffr

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.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.