At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.
Data Migration Object Coordinator(DMOC)
The incumbent for this position can be located in multiple locations. Bayer Talent Acquisition is accepting applications for these locations under one global job posting which follows each country's individual employment laws. As such, applicants should expect to experience differences in the application process which are unique from a single country posting.
POSITION PURPOSE:
We are seeking an experienced SAP Data Migration and Mapping Coordinator to lead the data migration activities as part of CORE Transformation project. This role will focus on ensuring accurate, efficient, and seamless data mapping, validation, cleansing, and coordinating with value stream leads / teams - while aligning with organizational and CORE program goals. The ideal candidate will have good experience with SAP Processes, SAP ECC and S4HANA data structures ,data mapping, Cleansing and cross-functional team collaboration across different cultures
ROLE AND RESPONSIBILITIES:
Data Mapping, Migration:
- Support in executing entire scope of data within respective specific process value stream (S2P/ R2D / A2R / C2C / Supply Chain / Manufacturing / Quality)
- Co-ordinate and support data migration including Prepare > Map > Enrich > Transform > Validate > Correct > Implement > Hypercare > Handover
- Execute data scoping and mapping activities from SAP ECC to SAP S/4HANA, ensuring alignment with Value streams , business, and migration teams
- Supports verifying extraction criteria, clarity on data availability and ensuring that data migration as per data object complies with defined approach
Data Quality & Validation
- Drive data requirements and ensures that right set of data gets identified, gathered, and translated with right data quality and data integrity
- Establish data quality criteria and oversee data cleansing activities to ensure the migration of accurate and reliable data.
- Co-ordinate the data Validation activities with Bayer and supplier to ensure timely completion of data validation.
Stakeholder Collaboration:
- Work closely with Business , Value streams , functional and technical teams to understand data requirements and business needs.
- Act as a liaison between business users, Value stream owners / leads and IT teams to ensure the data integrity and accuracy.
- Tracks progress , pushes roadblocks. Provide regular updates to leadership on data mapping, challenges, and resolutions.
Documentation and Compliance:
- Maintain detailed documentation of mapping rules, migration processes, and validation results.
- Ensure compliance with organizational data governance policies and SAP standards.
Risk Management:
- Identify potential data migration risks and develop mitigation strategies.
WHO YOU ARE:
Experience :
- Overall 8 years of experience with minimum 2 years of experience in SAP data migration projects, preferably with a focus on S/4HANA.
- Familiarity with data migration tools, methodologies, and best practices.
Domain Expertise:
- Comprehensive understanding of business processes across SAP value streams (S2P/ R2D / A2R / C2C / Supply Chain/Manufacturing/Quality)
Technical Expertise :
- Proficiency in SAP ECC and S4HANA
- Strong expertise in data mapping, validation, cleansing, and transformation processes for Master and transaction data as part of S4HANA transformations
- In-depth knowledge of SAPdata structures
- Posses good knowledge in writing SQL queries
- Experienced in any data migration tools
Preferred Competencies:
- Proven experience in managing or coordinating SAP data migration projects, preferably with SAP S/4 HANA.
- Proven experience in data mapping from SAP ECC to S/4 HANA
- Excellent knowledge of relevant best practices and standards related to data migration
- Excellent problem-solving, analytical, and organizational skills.
- Strong communication skills with the ability to work effectively across teams , levels and cultures.
- Familiarity with Agile methodologies and project management tools
Ever feel burnt out by bureaucracy? Us too. That’s why we’re changing the way we work— for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here https://www.bayer.com/en/strategy/strategy
Bayer does not charge any fees whatsoever for recruitment process. Please do not entertain such demand for payment by any individuals / entities in connection with recruitment with any Bayer Group entity(ies) worldwide under any pretext.
Please don’t rely upon any unsolicited email from email addresses not ending with domain name “bayer.com” or job advertisements referring you to an email address that does not end with “bayer.com”.
| YOUR APPLICATION | ||||
|
Bayer is an equal opportunity employer that strongly values fairness and respect at work. We welcome applications from all individuals, regardless of race, religion, gender, age, physical characteristics, disability, sexual orientation etc. We are committed to treating all applicants fairly and avoiding discrimination.
|
||||
| Location: | Brazil : São Paulo : São Paulo || China : Liao Ning : DaLian || Costa Rica : San José : San José || India : Karnataka : Bangalore || Philippines : National Capital : Manila || Poland : Pomorskie : Gdańsk || Spain : Cataluña : Barcelona | |||
| Division: | Enabling Functions | |||
| Reference Code: | 860763 | |||
| Contact Us | ||
| + 022-25311234 |
Job Segment:
Database, Data Conversion, Supply Chain, Recruiting, Risk Management, Technology, Data, Operations, Finance, Human Resources