Company Profile:

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious diseases. At AstraZeneca we’re dedicated to being a Great Place to Work.

Job description:

Essential Skills:

SAP Data Cleanse / transformation / evaluation experience: Proven experience leading complex SAP data cleansing initiatives incl. driving business requirements, data interrogation, profiling, managing approval process, cleansing

Data Management Expertise: Robust experience in operations and data processes for master and transactional data (Material Master, P&MM - PIR, Source Lists, Production to Dispatch Door - BOM, Equipment).

SAP & Data Proficiency: Strong analytical skills with comprehensive knowledge of data profiling, analysis, migration, reconciliation, fix capability, and validation. Deep understanding of SAP data and functional processes.

Communication & Influence: Ability to translate complex data issues into clear solutions and messages, influencing stakeholders with confidence.

Project Management & Collaboration: Excellent project management, collaboration, and presentation skills.

Attention to Detail: Highly organized and structured approach with a strong focus on detail.

 

Nice to Have Skill:

Life Sciences/Pharma Industry Experience: Experience working with Planning, Global Supply Chain, and ICSM in the (a plus).

Typical Accountabilities

 

The Data Cleanse Lead will co-ordinate, drive and deliver all data cleanse activities across the specified object workstream to ensure required data quality is achieved in preparation for migration to S/4 HANA.  Responsibilities include but are not limited to:

Identifying, defining and agreeing the data cleanse delivery scope and approach, DQ continuous monitoring ,etc.

Driving out comprehensive data quality analysis , requirements ,etc

Applying data, process and object expertise deliver a robust data delivery approach and successful data cleanse while securing ongoing data quality assurance by designing and implementing step-change data governance concepts

Leading and directing the prioritisation of data delivery across the specified workstream, defining and managing reporting on progress to relevant stakeholders.

Establishing project documentation, delivery planning and project management across the workstream

Ensuring best practice data capabilities are applied by integrating with Data Capability Experts and application of expert knowledge securing efficient data delivery

Providing management oversight to the workstream sub-team and day-to-day management to the assigned data resources, scope and ways of working

Managing key relationships between the cleanse team and S/4 project & business teams.

Education, Qualifications, Skills and Experience

Engineering / equivalent degree and having relevant SAP experience and subject matter expertise in Operations objects and processes (mentioned above)

Demonstrable SAP working knowledge across transactions and reporting in an SAP environment, including an understanding of how data integrates within an SAP architecture.

Proven experience in leading complex Data Quality / Cleanse initiatives within large scale transformation programmes

Solid Experience of Business/IT partnering

Demonstrated ability to lead in a diverse, global team, within and across functions. Experience with global working and across cultures.

Demonstrated 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

Demonstrated project leadership skills.  

Desirable

S/4 HANA implementation programme experience.  

Experience in life sciences and healthcare.

In depth knowledge of relevant key business processes.