National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Principal Data & Analytics Product Manager Commercial (Procurement)

Mars IS UK
Greater London
2 months ago
Applications closed

Related Jobs

View all jobs

Principal Pricing Analyst

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Product Manager – Data Science & Machine Learning

Job Description:

Royal Canin is undergoing a significant Digital Transformation journey. Our ability to solve the most critical problems across Mars in a User Centric way through Data & Analytics is fundamental to our growth ambition and transformation. Significant early success in this journey, and the introduction of many critical foundational capabilities, means that we are looking to accelerate our ability to solve problems and ultimately drivevalue for Mars Inc. 

The opportunities are significant for Mars, and the opportunities for those working in this space are both hugely exciting and rewarding. Connecting and deriving break-through insight from our Royal Canin and Petcare data ecosystems,leveragingthe rapidly growing world of external data to get closer to our customers and consumers than ever before, and unlocking efficiencies and automation across ourCommercialFunction. 

Building on this momentum, we are recruiting a Principal D&A Product Manager to join our Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of the CommercialData & Analytics Agenda 

The Role 

The GlobalCommercial (Procurement)- Principal Data and Analytics Product Manager will manage the vision, roadmap, and delivery of a subset of theCommercialData & Analytics solution portfolio. Starting with keyCommercialbusiness problems and/or future-back capability needs, the Principal Data & Analytics Product Manager willinterfacewith market, regional, and globalCommercial/ Procurementleaders, as well as functional experts, to build and deploy analytics products that create business value and advance the RC digital agenda. 

Key Responsibilities 

RC Division Focus 

· Partner with the Director, Global Analytics Product Management forVCOto continuously build a roadmap of highest-impact analytical product areas 

· For the Products they own, understand current state process, pain points, user personas, and existing tooling to synthesize many different viewpoints of the problem that the Product addresses into a clearly defined vision 

·Be the D&A gatekeeper to drive a value creation approach toall product business cases from Commercial ensuring they align with the RC and D&A global andwhere relevantlocal strategies. 

Architect the backlog of Epics that iteratively address the problem using the agile framework 

· Prioritize Epics into Product releases and advocate for resourcing to achieve Product goals 

· Oversee a squad of technical resources(internal &associates)that will be deployed to the Product through release execution 

· Evaluate solution’s ability to solve the problem through adoption and other value creation indicators 

· Lead the RC D&A relationship with theCommercialTeam to define the key products,dependenciesandEcosystem Focus 

· Lead the interaction and engagement with theCommercial teamto contribute and shape the ecosystem Digital Products portfolio and the requirements and adaptations within the RC division. 

· Elevate RC D&A as a leader in delivering the analytical & insights aspects of the RCCommercialproducts. 

· Act as “the glue” between D&Aand Commercialto build an effective & efficient relationship across all interfaces ina highly complexstakeholder environment. Drivingthe thought leadership and settingthe long-term vision and strategy for D&A products, ensuring they align with Commercial goals. 

 

Context and Scope 

· This role requires a balance of 1) strategic inquiry toidentifythe underlying needs ofCommercialstakeholders and influencing the organization to embrace new methods and technologies, mixed with 2) technical breadth toidentifyand apply art-of-the-possible with advanced analytics inCommercial. This role will partner heavily withCommercialleaders in the business, other D&A and Digital Technology members, and with functional experts to define the unique value proposition for each Product. It will also be critical for this leader to work closely with end users of the analytics products to ensure positive end user experience to deliver on adoption and sustained business value. This role must “lead with problems, not tools” in an unbiased way todeterminewhenappropriate todrive scaling as-is versus when to opportunistically evolve the Product to support increasing competitive advantage. 

Knowledge / Experience 

· Strongtrack recordof customer facing success and business acumen in working with teams toidentifyproblems to solve, ideating on the art of the possible, and bringing possibilities to life 

· Strength in business-to-science translation to enable partnering with business teams and technology teams in bringing analytics product ideas to life 

· Analytics foundation – knowledgeable in both operations research and the data science domain 

· Experience in delivery management of analytical products, or awareness of the drivers of complexity within delivery 

· Practitioner& operationalexperience in theCommercial (Procurement) domain. 

Key Mars Leadership Competencies 

· Business Insight 

· Balances Stakeholders 

· Manages Ambiguity 

· Action Oriented 

· Cultivates Innovation 

· Tech Savvy 

#TBDDT

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 an 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.

National AI Awards 2025

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 to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.