We are a purpose-led global organisation, dedicated to pushing the boundaries of science to discover and develop life-changing medicines. At AstraZeneca, we take pride in our mission to make a massive difference in the world by saving lives. Our employees are united in their purpose to make a difference to patients around the globe who rely on our medicines and scientific advancements. As we continue to grow, we must work seamlessly across borders with partners and new colleagues. To support this, we are undergoing a large-scale transformation of our IT landscape by replacing our current ERP systems with a global solution.

Our technology is foundational to all AZ entities and central to most core business processes, used by over 20,000 employees daily. This programme offers an opportunity for real transformation, shaping our global ways of working for years to come. We seek the best talent to ensure the success of this programme, which aims to deliver a world-class change initiative that enhances employees' understanding of their roles within our global company. This transformation will provide AZ with a competitive edge, benefiting both employees and patients.

Introduction to role:

The S/4 Data Quality and Analysis Analyst – Operations is responsible for supporting the delivery of data quality activities and remediation within the S/4 programme. Aligned with the Operations organisation, this role supports the Data Quality and Analysis Lead by ensuring data readiness for S/4 HANA deployments, compliance with defined standards, and implementing a data quality framework to maintain data integrity post-deployment.

Typical Accountabilities:
• Support development of the Operations S/4 Data Quality strategy and roadmap for execution.
• Define data quality requirements, metrics, and processes for measuring and reporting across S/4 data objects.
• Assist in defining data profiling requirements and provide business interpretation of profiling outputs.
• Support Data Design teams in defining data standards through analysis of existing SAP ECC data sets.
• Define and document data problem statements and quality improvement plans.
• Oversee data quality issue management.
• Deliver data quality enhancements at source to simplify S/4HANA data migration.
• Support impact assessments, design, and management of interim state reporting during deployment.
• Contribute to the development of the S/4 Cleanse and Migrate strategy and execution plans.
• Define the scope of data cleansing and delivery approach aligned with the cleanse and migrate strategy.
• Establish a data quality organisation and framework for ongoing monitoring and remediation.
• Ensure alignment with the S/4 Data Governance framework.
• Contribute to the development of the S/4 Data Governance Strategy and Roadmap.
• Establish “keep clean” capabilities into BAU.

Essential Skills/Experience:
• 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.
• 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.

Desirable Skills/Experience:
• Good understanding of 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.
• 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.

At AstraZeneca, we live and breathe a digital mindset, striving to be at the forefront of the convergence of science, data, and technology. We are transforming how we discover and develop new medicines to create the greatest impact on disease. By embracing digital and data, we are putting patients at the heart of everything we do. Here you will combine your skills with technology to drive innovation, transform processes, and optimise outcomes.

Join us on this exciting journey! Apply now to be part of our transformative programme.

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.