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Job Title: S/4 Data Expert – Clinical Supply


Career Level - E


Introduction to role


The S/4 Data Expert – Clinical Supply is responsible for defining business data requirements within the S/4 HANA design process, documenting S/4 Enterprise Data Standards, and ensuring that existing ECC data is fit for purpose at the point of migration to S/4 HANA. This role is aligned with Intelligent Clinical Supply EPO and involves proactive engagement with the wider business, including data offices and governance forums, to ensure that the S/4 data design meets business requirements, aligns with SAP standards where possible, and can be used confidently to achieve a Quality Core.


Accountabilities


• Support the definition, documentation, and implementation of S/4 Enterprise Data standards related to Clinical Supply, including master data, reference data, and metadata – collecting the business context and ensuring approval in accordance with defined data governance. This includes developing conceptual models, business glossary, and ontologies.
• Apply data, process, and object expertise to support S/4 process design, acting as an integral part of the Clinical supply design team, considering both business process and analytics requirements.
• Collaborate with current business data capability to ensure that S/4 design and the wider enterprise data design remain aligned (including supporting interim state).
• Influence the prioritization of data delivery related to Clinical Supply, defining and managing reporting on progress to relevant stakeholders.
• Support the definition of the change journey from current to future state data design, including completion of change impact assessments and outlining critical use case examples.
• Ensure that non-SAP system requirements are understood and considered in the data design.
• Contribute to the development of the S/4 Data Governance Strategy and Roadmap in collaboration with business data offices, the S/4 Data & Analytics leadership team, and the wider project delivery engine where relevant.
• Assist in developing the S/4 Data Quality Strategy and secure its execution by steering and agreeing on the data quality approach for data within Clinical Supply, enabling simplified migration, interim state, and ongoing management of data to ensure it remains fit for purpose post-deployment.
• Contribute to developing the S/4 Cleanse and Migrate strategy and execution approaches and plans.
• Input to the cleanse and enrichment approach for data within Clinical Supply in accordance with the overall data cleanse strategy.
• Provide support to project data migration processes, including coordinating pre- and post-load business sign-off.
• Ensure that data within Clinical Supply complies with the S/4 HANA Data Governance Framework and AZ Global Data Standards.
• Assist the S/4 Data Governance team in creating effective global procedures to ensure that each data asset is governed throughout its lifecycle.


Essential Skills/Experience


• Significant experience and subject matter expertise in Clinical Supply or Master Data Management and Governance. Demonstrable knowledge of how business data requirements support process execution and analytics, with the ability to explain complex data concepts to business users.
• Demonstrable experience of designing and implementing Data Standards for a global enterprise with significant geographical and functional footprint.
• SAP working knowledge across transactions and reporting in an SAP environment, including an understanding of how data integrates within an SAP architecture.
• Experience of Business/IT partnering for implementing Data Governance-related solutions.
• Experience with global working and across cultures.
• Strong communication skills with the ability to influence others to achieve objectives.
• Ability to manage negotiations across a complex group to a target outcome.
• Proven track record of delivery and ability to effectively prioritize to ensure goals and outcomes are achieved.


Desirable Skills/Experience


• S/4 HANA implementation program experience.
• Experience in life sciences and healthcare.
• Experience in Data Governance.
• Experience in measuring, managing, and improving Data Quality.
• In-depth knowledge of relevant key business processes.


When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace, and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.


At AstraZeneca, our work directly impacts patients by transforming our ability to develop life-changing medicines. We empower our teams to perform at their peak by combining cutting-edge science with leading digital technology platforms and data. Join us at a crucial stage of our journey towards becoming a digital and data-led enterprise. Here you can innovate, take ownership, experiment with leading-edge technology, and tackle challenges that have never been addressed before. With a dynamic environment that offers countless opportunities for learning and growth, you will be part of a diverse team that works cross-functionally and inclusively together.


Ready to make a difference? Apply now!


Date Posted


05-Nov-2024

Closing Date


29-Nov-2024

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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