S4 Data Object Lead
Posted on :
30-11-2024
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1 Vacancy
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Job Description
- 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
Employment Type
Full-time
Department / Functional Area
Key Skills
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