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

Nominate & Attend

Senior Data Architect - Gen AI Engineering

Mars Wrigley Confectionery UK (SLO, WAL, ISB & PAD)
Maidenhead
2 days ago
Create job alert
style="text-align:left">Job
Description:

We
are seeking a highly skilled Data Architect for Gen
AI Engineering
 to lead the design and implementation
of robust data architectures that support our generative AI
initiatives across various business functions, including Marketing,
Product Development, and Customer
Insights.

This role
is transformation-funded and therefore has an expected end date of
31st December
2026.

What
are we looking
for?

  • A seasoned
    data architect with 8+ years of experience in data architecture and
    engineering, specifically in the context of generative AI and
    machine learning
    applications.

  • Strong
    expertise in designing scalable data models and architectures, with
    proficiency in cloud platforms such as AWS, GCP, or Azure, and
    familiarity with data warehousing
    solutions.

  • Experience with
    data integration tools, ETL processes, and data pipeline
    development, along with a solid understanding of data governance
    and security best
    practices.

  • Proven leadership
    skills in managing cross-functional teams, driving data strategy,
    and delivering innovative data solutions that align with business
    objectives.

What
will be your key
responsibilities?

  • Lead
    the architectural design and implementation of data solutions that
    enable generative AI capabilities, ensuring they meet performance,
    scalability, and security
    requirements.

  • Collaborate
    with data scientists, engineers, and business stakeholders to
    define data strategies and roadmaps that support AI-driven
    initiatives.

  • Establish best
    practices for data architecture, including data quality,
    governance, and compliance, while promoting a culture of innovation
    and continuous
    improvement.

  • Provide
    technical guidance and mentorship to team members, fostering their
    professional growth and enhancing their data engineering
    skills.

  • Engage with external
    partners and vendors to evaluate new technologies and tools that
    can enhance our data architecture capabilities and drive business
    value.

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.

#TBDDT

style="text-align:inherit">

style="text-align:inherit">

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.

Related Jobs

View all jobs

Senior Data Architect - Gen AI Engineering

Senior Data Architect

Senior Data Architect

Senior Data Architect - Gen AI Engineering

Senior Data Architect

Senior Data Architect

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 Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.