SAP S/4 HANA SCM Master Data Steward

Focus Cloud
Southend-on-Sea
2 months ago
Applications closed

Related Jobs

View all jobs

SAP MM Data Expert

Data Architect

Group Director, Business Intelligence & Customer Master (Basé à London)

Enterprise Data Architect London, Agile (Basé à London)

Senior Biostatistician

Senior Biostatistician

Position: SAP MDM Consultant - S/4 HANA & SCM/MM
Employment Type: Permanent, Full-time
Start: ASAP
Location: London, UK (Hybrid 2 days onsite per week)
Languages: English


Company Overview:
Our client is a globally recognised leader in digital transformation, renowned for innovation and excellence in data governance. As an employer of choice, they provide a dynamic environment where professionals work on cutting-edge technologies, drive strategic business initiatives, and collaborate with senior stakeholders to shape the future of enterprise data management.


Role Overview:
As anSAP MDM Consultant (S/4HANA Purchase to Pay Master Data Steward),you will play a key role in ensuring data integrity, governance, and optimisation within SAP S/4HANA. Partnering with IT and SMEs, you will identify and resolve data gaps, lead master data transformations, and drive continuous improvements in data quality.
This is a hands-on role requiring deep expertise inSAP SCM/MM master data management, strong problem-solving skills, and the ability to collaborate with cross-functional teams.



Key Responsibilities

Master Data Management & Governance:

  • Develop and enforce data governance policies, ensuring compliance with global standards.
  • Protect the integrity and accuracy of master data in SAP S/4HANA.
  • Drive proactive data auditing, validation, and lifecycle management.

Data Quality & Optimisation:

  • Implement data quality metrics and analyze trends to drive continuous improvement.
  • Ensure data consistency and compliance across geographies and business units.
  • Identify and resolve data discrepancies, improving process efficiency.

Collaboration & Stakeholder Engagement:

  • Partner with IT, SMEs, and business units to resolve data and design gaps.
  • Lead local contacts throughData Mapping, Discovery, and Transformationprocesses.
  • Provide coaching and training to business users, analysts, and process owners on data governance best practices.

SAP Data Management & Support:

  • Load and verify master data, supporting SAP implementation and upgrades.
  • Cross-train with other data analysts to ensure seamless production support.
  • Develop and refine global data documentation, including SOPs, job aids, and process guides.



Key Skills & Experience

  • Proven track record inSAP S/4HANA MDM, focusing on SCM/MM.
  • Expertise inSAP master data objects(Material Master, Vendor Master, Purchasing Info Records).
  • Strong understanding ofdata governance principlesanddata quality management.
  • Experience inSAP P2P master data management and process optimisation.
  • Excellent problem-solving and collaboration skills, with the ability to engage stakeholders across multiple functions.



Salary/Day rate: Up to £80,000GBP p/a + Bonus & Benefits
 
Location – London, UK (Hybrid 2 days onsite per week)

#hiring #sap #masterdata #mdm 

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.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 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.