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Hybrid SAP Data Conversion Lead
GlobalFoundries · Austin, Estados Unidos Da América · Hybrid
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Gesponsert von CourseraAbout GlobalFoundries:
GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.
Summary of Role:
The role will be responsible for leading and managing the end-to-end data migration process to S/4 HANA and other enterprise applications as part of a greenfield transformation project. This role requires a strategic thinker with a solid understanding of SAP modules, data migration methodologies, and risk mitigation strategies. This role requires close working relationships with senior business and IT leadership, implementation partners, Enterprise Architecture and the PMO.
Essential Responsibilities:
Develop a comprehensive data migration strategy tailored for each release of the transformation project, minimizing risks through detailed data change impact analysis.
Conduct Business Blueprint data migration workshops to discuss the data migration approach, source to target data mapping, transformation and cleansing requirements and finalize to-be design
Manage data extraction, cleansing, transformation, enrichment, validation, and reconciliation during migration.
Supporting all data load and cutover tasks for Mock, dress rehearsals and production cutover
Design ETL processes and oversee manual data transformations into SAP-loadable values
Implement robust data quality controls, including monitoring and auditing, to maintain long-term data integrity.
Other Responsibilities:
Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.
Required Qualifications:
Overall experience of 8-12 years as a data conversion lead for at least 5-6 full life-cycle SAP implementations in an MNC including all phases (blueprint, configuration, training, cut-over and post go-live support).
Proven experience in an S/4 transformation program with design and development of BODS, data loading using IDOC, BAPI, ABAP, LSMW, LTMC
Functional knowledge in one or more modules of SAP SD, MM, PM, FICO, MDG
Ability to engage and work in a global team across multiple time zones
SAP Consulting expertise with a top tier organization is a must.
Knowledge of Oracle, PLM or CRM will be an advantage
Expected Salary Range
$106,100.00 - $200,000.00The exact Salary will be determined based on qualifications, experience and location.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.
GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.
All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law