SAP S/4HANA Data Quality and Analysis Lead – Operations

AstraZeneca UK

Location: Cheshire East, Luton

Job Type: Full time


Role Title – SAP S/4HANA Data Quality and Analysis Lead – Operations

Global S4Hana Programme

Location – Macclesfield or Luton UK, Södertälje SE or Warsaw PO

Salary Competitive

We are one purpose-led global organisation. The enablers and innovators, ensuring that we can fulfil our mission to push the boundaries of science and discover and develop life-changing medicines. We take pride in working close to the cause, opening the locks to save lives, ultimately making a massive difference to the outside world.

AstraZeneca (AZ) is in a period of strong growth and our employees have a united purpose to make a difference to patients around the world who need both our medicines and the ongoing developments from our science. In this journey AZ must continue to work across borders and with partners and new colleagues in a fast and seamless way. The ambition, size and complexity of the organisation, coupled with the opportunities afforded by new technology, has led the Board to approve a large scale transformation of the IT landscape by the replacement of current ERP (Enterprise Resource Planning) systems with one global solution.

Our current technology is used by more than 20,000 employees daily, is foundational to all AZ entities and is central to most core business processes. This programme provides the opportunity for real transformation and to shape the way of working globally for many years to come.

This programme requires the best. Whether it be the technical skills, business understanding or change leadership, we want to ensure we have the strongest team deployed throughout. The programme seeks to deliver a world class change programme that leaves all employees with a fuller understanding of their role in the end-to-end nature of our global company. This programme will provide AZ with a competitive edge, to the benefits of its employees and patients.

The role

The S/4 Data Quality and Analysis Lead – Operations is responsible for leading the delivery of data quality activity and remediation within the S/4 programme. The role is aligned to the Operations organisation and will support Data Design Leads through ensuring that data is ready for S/4 HANA deployments and complies with defined standards, along with defining and implementing the data quality framework needed to ensure that S/4 data remains fit for purpose post deployment and can continue to be used with confidence.

Typical Accountabilities

  • Lead development of the Operations S/4 Data Quality strategy, and the roadmap for execution.
  • Lead in the definition of data quality requirements, metrics and processes for measuring and reporting across S/4 data objects.
  • Assist in defining data profiling requirements and provide the business interpretation of profiling outputs.
  • Provide support to the Data Design teams in defining data standards through the analysis of existing SAP ECC data sets to inform on current usage.
  • Define and document data problem statements and quality improvement plans.
  • Provide oversight of data quality issue management.
  • Deliver relevant data quality enhancements at source to simplify S/4HANA data migration and simplify the interim state management during deployment
  • Support relevant impact assessments, design and management of the interim state reporting navigating through the split system landscape of partial S/4HANA and ECC deployment.
  • Contribute to the development of the S/4 Cleanse and Migrate strategy and execution plans.
  • Define the scope of data cleansing and the data cleanse delivery approach, aligned to the cleanse and migrate strategy.
  • Define the data quality organisation and framework required to support the ongoing monitoring and remediation of data.
  • Ensure that delivery aligns with the S/4 Data Governance framework where relevant
  • Contribute to the development of the S/4 Data Governance Strategy and Roadmap.
  • Establish relevant “keep clean” capabilities into BAU.

Essential for the role

  • Strong functional experience in data quality management including data quality rules, data quality reporting, issue management and issue remediation.
  • Specialist knowledge of data quality management principles and practices (including data profiling, data discovery, root cause analysis, designing and implementing automated DQ solutions)
  • Proven track record in applying leading edge data quality enhancement capabilities covering profiling, analysis, migration, cleanse to land step-change in data quality
  • Experience in managing complex data quality analysis and improvement projects
  • Demonstrated ability to lead in a diverse, global team, within and across functions. Experience with global working and across cultures.
  • Demonstrate strong communication skills with the ability to influence others to achieve objectives
  • Ability to lead and manage negotiations across a complex group, to a target outcome.
  • Proven track record of delivery and ability to effectively prioritise to ensure goals and outcomes are achieved
  • Good understanding of Master Data Management and Reference Data Management.
  • Ability to work with business users to elicit and formally define their requirements
  • Strong analytical and problem-solving skills
  • Able to lead conflicting priorities
  • Working knowledge of SAP ECC Modules (e.g.CO/FI)

Desirable for the role

  • Good understanding of and or experience in other data related capabilities including data architecture, data analytics, data modelling, self-assessment, policy assurance, quality assurance and control testing .
  • Previous experience with data management tools
  • S/4 HANA implementation programme experience.
  • Experience in life sciences and healthcare.
  • Experience in Data Governance
  • In depth knowledge of relevant key business processes. For Finance – Accountant (mandatory)
  • Demonstrable knowledge of transactions and reporting in an SAP environment, including an understanding of how data integrates within an SAP architecture.
  • Understanding of data concepts and experience in data management capabilities including data lineage, data definitions and data governance.
  • Experience of Business/IT partnering for the implementation of Data Governance-related solutions

Applications open Friday the 8th of September 2023

Applications close Sunday the 8th of October 2023

Why AstraZeneca?

At Astrazeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare.

So, what’s next?

  • Are you already imaging yourself joining our team? Good, because we can’t wait to hear from you.
  • Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and hope its yours
  • If you’re curious to know more then we welcome your application no later than

Where can I find out more?

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Date Posted


Closing Date


AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

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