S/4HANA Europe Deployment Cleanse Lead - Operations

Introduction to the role:

The S/4HANA Cleanse Lead for Operations is a key member of the Data and Analytics team supporting AstraZeneca’s ERP systems transformation project.

As the leader of this function, you will focus on data cleansing and preparation for legacy ERP data structures in Operations to support various deployments. This includes mapping following localization, coordinating with the data migration build team, and establishing data quality requirements per deployment for pre-migration data readiness. You will prepare data for migration readiness across operations and work with various members of the OPS Data Office and in-line/in-function resources who manage Ops data to drive the cleanse activities.

You will lead cross-functionally across Ops and various Tech teams who support profiling and cleanse activities to define the data readiness for each migration/deployment. You will effectively hand over data readiness for migration using various stage gates and overall progress reporting to assure data readiness for migration. Additionally, you will assist in defining Information architecture, models, ontologies, and taxonomies standards and reusable designs as required to scale the cleanse activities globally.

Accountabilities:

Enterprise Data Accountabilities:
• Responsible for maintenance and update of various data cleansing playbooks and processes that will be leveraged across the programme.
• Contribute to the definition of the overall Enterprise Data Strategy and Standards in partnership with AstraZeneca business functions (namely Operations and the inline data offices).
• Develop and implement a complex matrix of data profiling tools and standards to drive an efficient cleanse and harmonization process for the programme.

Delivery Related Accountabilities:
• Determine the correct data standards and timelines to fulfill data cleanse goals in preparation for migration to S/4HANA.
• Provide project-level data guidance, education, and design expertise for data profiling, cleanse, and harmonization.
• Provide guidance based on business requirements that determine the different types of data structure types needed to operationalize processes in S/4HANA.
• Support the development of Data Integration architecture and overall Data Integration design.
• Approve various artifacts ensuring enforcement of standard enterprise data element names, abbreviations, characteristics, and domains during the lifecycle of a project.
• Approve many of the project deliverables to ensure compliance and reuse within Architectural Standards as defined by the Chief Data Architect.

Data Standards and Quality Management:
• Set the strategy and lead the global implementation of cleanse and harmonization metrics and forums for S/4HANA.
• Direct the cross-functional development and ongoing continuous improvement of Data Profiling reports and analytics.
• Assist in setting strategy and execution plans for Data Cleanse and Migration activities in support of migration from legacy SAP systems to new SAP S/4HANA solution.
• Assist in Development of Data Quality strategy for the organization, and secure its execution across functions, to raise data quality.
• Identify relevant stakeholders, establish cross-functional priorities to direct Data Quality metrics for Cleansing and Harmonization, and oversee continuous remediation across functional borders in S/4HANA.
• Steward Data Assets and guidelines.
• Influence key senior stakeholders to maintain alignment with data quality and governance strategy.

Essential Skills/Experience:

• Bachelors Degree or equivalent number of years of experience in a Computer Science or Data Management related field.
• Extensive experience and knowledge within domain.
• Able to influence and deliver strategic vision, direction, and planning.
• Possess a blend of data architecture, analysis, and engineering skills.
• Experience in known industry architectural patterns.
• Understands cloud-based containerization strategies for hybrid cloud environments.
• Understanding the appropriate data structure and technology based on business use case.
• Experience in the use of data modeling technologies.
• Experience in Agile data definition scrums.
• Experience in the use of metadata cataloguing tools.

Desirable Skills/Experience:

• Post-graduate degree in MIS, Data Management.
• Extensive experience in a data architect role with practical examples of designing and providing data engineering blueprints that have been pragmatically implemented.

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.

Help push the boundaries of science to deliver life-changing medicines to patients. With science at its heart, this is where breakthroughs born in the lab become transformative medicine – for the world’s most complex diseases. Striving to understand the needs of diverse populations and act accordingly, we aim to transform healthcare to secure a future where everyone can access affordable, sustainable, innovative healthcare. Answering unmet needs by pioneering the next wave of science and targeting the drivers of disease to help us create the next generation of therapeutics.

With our ground-breaking pipeline, the outlook is bright. Be proud to take your place somewhere that has already achieved so much and is determined to do more. There is no better time to join our global, growing enterprise as we lead the way for healthcare and society.

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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.