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

Apply Now

RGM Director (12 Month Contract)

Jobleads
London
8 months ago
Applications closed

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

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.