Commercial Insight Manager - FMCG

Vertical Advantage
London
7 months ago
Applications closed

Related Jobs

View all jobs

Manager (Data Science)

Senior Manager (Data Science)

Strategic Finance Manager

FP&A Manager

Data Science Manager

Data Science Manager - Insurance (Propensity models)

A great opportunity for a Category Insight Manager to work at a business who generate the best of human and artificial intelligence to power possibilities for individuals, organisations and society. Their solutions make sense of what has happened and what will, could or should be done to re-shape industries and societies around the needs of the people they serve.



Want to apply Read all the information about this position below, then hit the apply button.

As one of the world’s fully diversified data science and AI leaders they operate across every sector of the economy and are growing fast - with growth comes opportunity! They’re passionate about building out their team of smart, fun, diverse and motivated people.


They combine a team of experts that spans data scientists, actuaries, statisticians, business analysts, strategy consultants, engineers, technologists, programmers, product developers, and futurists – all dedicated to harnessing the power of data to drive transformational outcomes for their clients.


Role summary

  • Acting as a trusted advisor to Consumer clients, the Category Insight Manager will be providing data driven solutions through consulting projects and products to solve their business problems and ultimately drive return on investment for the client.
  • Their projects and solutions involve supporting clients with insights and recommendations on promotional activity, category review and planning, marketing, media and overall brand and category strategy.

Key External Stakeholders:Sales, category and marketing teams within Consumer companies.

Key Internal Stakeholders:Consultants, senior consultants and lead consultants within the Consumer team (where applicable, working collaboratively across projects and products to deliver insights to clients) and the product team (to provide feedback and inputs into roadmaps and product enhancement on analytical products).


Key responsibilities

  • Client management: manage own portfolio of approximately 2-3 clients; build and maintain positive working relationships with key client stakeholders
  • KPIs on client retention and satisfaction / NPS
  • Deliver analytical solutions through bespoke analysis and projects
  • KPIs on revenue and financial targets, client retention and satisfaction
  • Using a trusted advisor approach, deliver ROI for clients, and upsell and cross sell projects and products to existing clients e.g. Projects, incremental FTE, product bundles
  • KPIs on client revenue mix and client retention
  • Contribute to high-performing, knowledge focused and positive and engaged culture for the CONSUMERR team



Key Activities

  • Client management: manage own portfolio of approximately 2-3 clients; build and maintain positive working relationships with key client stakeholders
  • Manage and deliver on day-to-day needs and queries from clients
  • Build positive relationships with stakeholders across client businesses
  • Working onsite at client offices to support usage and engagement with solutions
  • Deliver analytical solutions through bespoke analysis and projects
  • Relevant client interaction to understand current and future needs, translating complex requirements into a logical workflow and plan
  • Project and task management of relevant stakeholders to deliver analytical projects
  • Conduct analysis leveraging tools e.g. Checkout and Supplier
  • Connect to provide actionable insights and recommendation to clients
  • Working in collaboration with analysts to run bespoke analyses on key client questions
  • Presenting solutions and recommendations back to client stakeholders
  • Using a trusted advisor approach, deliver ROI for clients, and upsell and cross sell projects and products to existing clients e.g. Projects, incremental FTE, product bundles
  • Be a super user of their products and build knowledge to educate client’s on best use of products
  • Be able to identify solutions relevant to client needs and communicate this effectively
  • Run ad hoc training sessions on products as needed
  • Ongoing conversations with clients to build knowledge to provide Product teams with consistent and reliable source of feedback
  • Identify and initiate commercial opportunities for growing client accounts
  • Able to close straightforward renewal conversations and managing all contract renewal processes with some Senior Consultant support
  • Contribute to high-performing, knowledge focused and positive and engaged culture for the CONSUMERR team
  • Attending and participating in team meetings and knowledge sharing sessions
  • Being a team player and providing support to juniors, peers and seniors within the team as needed



Experience and education required

  • Tertiary qualifications in a related discipline
  • Experience working within a Retail / FMCG /Consumer business in buying, category or sales or in an analytics consulting role in the Consumer industry
  • Knowledge and experience analysing data (customer, transaction or sales data) in an Consumer / FMCG context
  • An ability to work proactively and leverage available resources to problem solve, with support from consultants and senior consultants
  • Experience working with stakeholders (both internal and ideally externally) up to a senior / director level
  • Strong communication skills with the ability to explain and distil complex information and data into actionable strategies for clients
  • Confident presentation skills
  • Ability to thrive in a fast paced and regularly changing environment, juggling multiple stakeholders and projects

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.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.