Director Data Architecture

Mars
London
1 week ago
Applications closed

Related Jobs

View all jobs

Solution Data Architect

Director of Solutions Architecture - InsurTech

Business Analyst

Third Party Risk Manager

Principal Software Engineer

Associate Director Consulting

Are you passionate about Data and Analytics (D&A) and excited about how it can completely transform the way an enterprise works? Do you have the strategic vision, technical expertise, and leadership skills to drive data-driven solutions? Do you want to work in a dynamic, fast-growing category? If so, you might be the ideal candidate for the role of Director, Data Architecture, in the Data and Analytics function for Global Pet Nutrition (PN) at Mars.


Pet Nutrition (PN) is the most vibrant category in the FMCG sector. As we work to transform this exciting category, a new program, Digital First, has been mobilized by the Mars Pet Nutrition (PN) leadership team. Digital First places pet parents at the center of all we do in Mars PN, while digitalizing a wide range of business process areas, and creating future fit capabilities to achieve ambitious targets in top line growth, earnings, and pet parent centricity. The Digital First agenda requires Digitizing at scale and requires you to demonstrate significant thought leadership, quality decision making, deep technical know-how, and an ability to navigate complex business challenges while building and leading a team of world class data and analytics practitioners.


With Digital First, PN is moving to a Product based model to create business facing digital capabilities. The Director - Data Architecture is a strategic role that oversees defining, designing, and implementing the data architecture strategy to support to our success. This role is accountable for data design principles, technology expertise, and the ability to align data architecture initiatives for the multi-billion-dollar Pet Nutrition division’s digital needs. Reporting to the Sr. Director- Data Foundations (Global Pet Nutrition), the person in this role will be a part of the Global PN Data foundation Leadership team. The role operates globally and partners with PN D&A leaders, PN business and digital leaders across all functions. In addition, this role will be working closely with cross-divisional and cross-segment data teams to drive synergies and leverage best practices


What are we looking for?

  • As part of Digital First, a new role has been created to build the foundational data capabilities that will power all our analytics products and create transformational business impact for the Pet Nutrition Division.
  • This role encompasses data architecture and enterprise data domains that support the business goals and analytics needs of the Pet Nutrition segment.
  • This role will collaborate closely with cross-functional teams includingproduct management, data strategy and governance, engineering, data science, and business development.
  • The role serves as part of the global digital organization focused on enabling data driven decision making.
  • This role will also collaborate with and influence other D&A and Digital Technologies leaders across Mars to align on data standards, best practices, and emerging technologies.


What will be your key responsibilities?

  • Mars Principles: Live and exemplify the Five Principles of Mars, Inc. within self and team.
  • Develop Data Architecture Strategy: Define and implement a comprehensive data architecture strategy that supports the Pet Nutrition’s business strategic priorities, enables efficient data management,scalability, and end-to-end solution architecture delivery.
  • Lead Architecture Initiatives:Provide leadership and direction to the architecture team in designing, implementing, and maintaining data architecture solutions
  • Data Design:Drive the design of conceptual, logical, and physical data models to ensure data consistency, integrity, and reusability across the organization.
  • Enterprise data domain ownership:Collaborate with Pet Nutrition’s business and Digital foundation teams to design enterprise level data domain map that meet business requirements, ensuring alignment with data and platform architecture principles.
  • StakeholderEngagement: Collaborate with PN D&A leadership, PN product owners, and segment D&A leadership to articulate the strategic value of data and advocate for investments in data capabilities and policies.
  • Team and resource management: Hire, build, lead and manage multilocational teams covering data, architecture, data modelling, and governance throughout the development lifecycle, from ideation to ongoing optimization. Manage budget allocation.
  • Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data architecture principles to ensure efficient D&A operations


What can you expect from Mars?

  • Work with over 140,000 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.


This role is a project-based transformation role and has a current expected end date of‘31st December 2026’.

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.

Careers

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Careers

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Careers

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.