SAP Master Data Governance Manager - MDG

Accenture UK & Ireland
London
1 month ago
Applications closed

Related Jobs

View all jobs

Finance Master Data Lead: Data Quality & Governance

Data Analyst

Head of Enterprise Data Model / Data Architect FTC

Head of Enterprise Data Model / Data Architect (6-12 Month contract role)

Head of Enterprise Data Model / Data Architect FTC

Head of Enterprise Data Model / Data Architect FTC

Role: SAP Master Data Governance Manager - MDG

Location: London /Birmingham/ Manchester

Salary: Competitive salary and package dependent on experience

Career Level: Manager

Accenture is a leading global professional services company, providing a broad variety of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.

We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.

“Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO

As a team:

As one of SAP’s Tier 1 global partners we understand the importance of data in our client’s transformation journeys. Whether in the context of a S/4HANA transformation or of a data roadmap we strive to bring leading thinking and delivery of innovative solutions to our clients. You will work on full lifecycle data journeys with clients from roadmap through to execution, delivering value through the latest features and benefits within SAP solution set.

In our team you will:


Advising clients on their data transformation strategies driving value creation through the positioning of SAP enabled solutions as well as leading solutions from SAP partners and Accenture.
Leading the data migration stream of an S/4HANA transformation, working with colleagues in delivery centres to execute on their data transformation strategies.
Work with a wide range of clients across many industries on their transformational journeys, ranging from smaller single function, in country projects to S/4HANA enabled global business transformations.


As a SAP MDG Manager you will:

Be an integral part of our team supporting our clients SAP transformation projects through acting as a Functional Expert in the master data governance area. You will work closely with clients, translating their business and functional requirements into SAP functional designs and overseeing solution delivery. Your strong business process knowledge, combined with your in-depth expertise will be key to designing effective and efficient solutions for our clients.

We are looking for experience in the following skills:


Experience of both advising clients on their Master Data Management strategy elements of their S/4HANA roadmaps and supporting the implementation of solutions based on SAP MDG and other complimentary MDM applications.
Leading the transformation of clients data governance models, ensuring the relevant business accountabilities are in place and a clear target operating model for MDM is implemented prior to the deployment of SAP MDG based solutions.
At least 7 years of functional data experience and recognised SME skills for at least two “Big 4” data objects demonstrated across multiple full E2E SAP implementation lifecycles from data strategy definition through to cutover.
Proven capabilities in leading a distributed delivery team, working with colleagues in offshore delivery centres for solution delivery.
Proven ability of advising & supporting clients with data quality challenges, working with the client to define corrective actions and deliver data quality monitoring solutions.
Understanding of methodologies for the deployment of SAP MDG.
Good understanding of Agile and Waterfall methodologies.


Set yourself apart:


Broader S/4HANA functional experience ensuring stronger alignment of SAP MDG with other functional solution elements.
Broader understanding of full data lifecycle management processes, especially instances where lifecycle stages are linked to non-SAP solutions.
Experience demonstrated in the development of solid relationships with client C-Suite stakeholders.
Experience of other leading MDM tools (e.g. SimpleMDG) that typically complement SAP landscapes.


What’s In It For You

At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice!

Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for.

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 Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.

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.