Associate Director, S/4HANA Data Transformation – Data Quality & Analysis Finance (Global S4Hana Programme) job opportunity at AstraZeneca.

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AstraZeneca Associate Director, S/4HANA Data Transformation – Data Quality & Analysis Finance (Global S4Hana Programme)
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S/4HANA Data Transformation,Data Quality & Analysis Finance (Global S4Hana Programme)

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degreeAssociate
loacation Portugal - Lisboa, Portugal
loacation Portugal - Lis..........Portugal

Job Title – Associate Director, S/4HANA Data Transformation – D ata Q uality & A nalysis Finance (Global S4Hana Programme) Location – Lisbon, Portugal   Introduction to the role: 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.     About the role: The Associate Director, S/4 HANA Data Transformation – Data Quality & Analysis Finance is responsible for the delivery of data quality activities and remediation within the S/4 programme . This role is aligned with the Finance organization and supports :   Data Cleansing, Harmonization and Readiness : d efine scope and guidelines for SAP ECC Data Cleansing aligned with Data Design Definitions and Standards and Data Migration Relevancy .   Reconcile Data between SAP ECC (pre-migration) and SAP S/4HANA (post-migration) clients : design, specify and execute data reconciliation reports on the finance and controlling domain to ensure not only data migration completeness but also accuracy.   S/4HANA Data Quality Framework: 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   Partner with Data Design teams in defining data standards through analysis of existing SAP ECC data sets.   Enhance SAP ECC data quality at source to ensure smooth S/4HANA migration .   Scope and implement targeted data cleansing activities for migration readiness.   Contribute to ECC Cleanse and S/4 Migration strategies and delivery plans.   Assist in defining data profiling requirements and provide business interpretation of profiling outputs , including data reconciliation .   Identify , document, and resolve data quality issues and problem statements.   Support impact assessments, design, and management of interim state reporting navigating through the split system landscape of partial S/4HANA and ECC deployment.   Oversee data quality issue management.   Drive the development and execution of the Finance S/4 Data Quality strategy and roadmap.   Define data quality requirements, metrics, and processes for measuring and reporting across S/4 data objects.   Build a sustainable data quality framework for ongoing monitoring and remediation.   Ensure alignment with S/4 Data Governance framework and drive governance strategy.   Embed ongoing data quality (“keep clean”) measures into business-as-usual processes.       Essential for the role   Working and implementation experience SAP ECC Modules – Finance and Controlling , including Data Migration activities.   Experienced in SAP Data Migration processes and tools.   F unctional experience in data quality management including data quality rules, data quality reporting, issue management and issue remediation.   K nowledge of data quality management principles and practices (including data profiling, data discovery, root cause analysis, designing and implementing automated DQ solutions) .   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 .   A bility to lead in a diverse, global team, within and across functions. Experience with global working and across cultures.   A pplying leading edge data quality enhancement capabilities covering profiling, analysis, migration, cleanse to land step-change in data quality .   M anaging complex data quality analysis and improvement projects .   S trong communication skills with the ability to influence others to achieve objectives   L ead 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 .       Desirable for the role   S/4 HANA implementation programme experience.     Deep knowledge of Finance and Controlling business processes , SAP transactions and reporting and their connection with data and data flows.     Understanding of data concepts and experience in data management capabilities including data lineage, data definitions and data governance.   U nderstanding 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.   Experience in Data Governance .   E xperien ce with data management tools .   Background in life sciences and healthcare.   Proven experience partnering with Business and IT for Data Governance initiatives .   Knowledge of ETL, SQL and SAP ADM by Syniti .   Working knowledge of SAP ECC Project System modules.   Working knowledge of SAP ECC Sales & Distribution modules.   Working knowledge of SAP Business Partners .   Working knowledge of integration between SAP ECC Logistics and Financial modules.       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.   We welcome your application no later than February 15th.   Where can I find out more?   Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/   Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/   Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en   Date Posted 28-Jan-2026 Closing Date 14-Feb-2026 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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