Business Data Migration Lead A.P. Moller - Maersk
A.P. Moller - Maersk
Office Location
Full Time
Experience: 5 - 5 years required
Pay:
Salary Information not included
Type: Full Time
Location: Maharashtra
Skills: Project Management, Agile methodologies, Data Migration, Stakeholder management, S4 HANA Implementation, Cutover Process, Finance Accounting Processes
About A.P. Moller - Maersk
Job Description
The role involves overseeing Data Migration and Cutover activities as crucial program deliverables, requiring standardization, structure, and central governance. Data validations and orchestration should adhere to best practices, including technology interventions. Ensuring that migrated data (Master, Transactional, Reference) aligns with NFTP principles for fit-for-purpose use, necessitating defined data quality standards in collaboration with data owners. Cutover activities, both technical and business-related, must be executed with precise controls to minimize disruption to BAU processes. Responsibilities include collaborating with the technical data migration lead to manage overall data migration, handling multiple releases, migrating data across functional work streams, identifying data to transition from legacy systems to S/4 HANA, MDG, etc. Developing core migration deliverables, supporting testing during migration test cycles, segregating Master, reference, and transactional data, supporting program plans for each migration iteration, assessing data quality with owners and stewards, and managing associated migration risks. The ideal candidate should possess excellent project management skills, preferably in agile methodologies, with prior experience in S4 HANA implementation projects, understanding data impact on various processes. A strong knowledge of data migration and cutover processes, including best practices and technology interventions, is required. Additionally, familiarity with finance & accounting processes (OTC, PTP, ATR, TAX, Cash & Bank, Control, and Management reporting), ability to work independently, collaborate with stakeholders, and manage relationships with senior leadership is crucial. Moreover, candidates should have a sound understanding of data ecosystems (master, transactional, and reference) and the usage of data elements in various processes scoped within NFTP. We are committed to supporting applicants" needs during the application and hiring process. If you require special assistance or accommodations to use our website, apply for a position, or perform job-related tasks, please contact us at accommodationrequests@maersk.com.,