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

Nominate & Attend

SAP Data Transformation Director (Basé à London)

Jobleads
London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Transformation Programme Manager

Head of Finance Data Transformation (Basé à London)

Head of Finance Data Transformation

Head of Finance Data Transformation

Head of Finance Data Transformation (London)

Head of Finance Data Transformation (London)

Join to apply for theSAP Data Transformation Directorrole atLa Fosse.

Get AI-powered advice on this job and access more exclusive features.

This salary range is provided by La Fosse. Your actual pay will depend on your skills and experience — discuss with your recruiter for more details.

Base pay range

Direct message the job poster from La Fosse for details.

About the Role

A global FMCG company is initiating a major data-driven business transformation to enhance its enterprise-wide data capabilities. The project focuses on building a high-quality, robust data function that provides trusted, accessible data across all markets and functions.

This transformation involves reshaping how the organization owns, manages, and utilizes data. It covers culture change, operating model design, technology enablement, and delivery of scalable data products.

Key Responsibilities

  • Lead a multi-stream global data transformation program.
  • Oversee both business and technical workstreams from strategy to execution.
  • Drive change in data governance, ownership, and usage across the organization.
  • Collaborate with senior stakeholders across functions and markets.
  • Shape and deliver the future data ecosystem and data product roadmap.
  • Guide the implementation of data access frameworks and self-service capabilities.
  • Support the creation of external data-sharing strategies and agreements.

Key Requirements

  • Experienced Programme Director/Transformation Lead with a proven track record in large-scale, global data transformations.
  • Strong leadership skills across business and technical teams.
  • Background in FMCG or manufacturing sectors.
  • Familiarity with enterprise data platforms such as Azure and Databricks.
  • Experience with Salesforce and SAP from a data integration or reporting perspective.
  • Skilled in stakeholder engagement, cultural change, and operating model design.
  • Experience managing external data sources and implementing data-sharing agreements.

Additional Details

  • Seniority level: Not applicable.
  • Employment type: Full-time.
  • Job function: Manufacturing.
  • Industries: Breweries.

Referrals can double your chances of interview success at La Fosse.

Get notified about new Transformation Director roles inLondon, UK.

#J-18808-Ljbffr

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.