SAP Data Transformation Director (Basé à London)

Jobleads
London
7 months ago
Applications closed

Related Jobs

View all jobs

SAP Master Data Governance Manager - MDG

SAP Master Data Governance Manager - MDG

SAP Master Data Governance Manager - MDG

SAP Master Data Governance Manager - MDG

SAP Master Data Governance Manager - MDG

SAP Master Data Governance Manager - MDG

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

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.