Lead Consultant - SAP Data Management/Data Cleansing
Job Title - Lead Consultant - SAP Data Management/Data Cleansing
Career Level - E
As the S/4 Data Cleanse Lead – Operations, you'll lead all data cleansing efforts within the Operations Cleanse execution work stream for the Axial program's S/4HANA migration, ensuring data quality meets migration requirements. This hands-on role involves collaborating extensively with local leads, project resources, Data Services, technology teams, and key stakeholders across EPO and global data offices.
To be successful role holder will:
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
Essential
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.
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 authorisation and employment eligibility verification requirements.
