SAP Data Migration Lead at NTT DATA

Baddipadaga, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

0.0

Posted On

04 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SAP S/4HANA, ECC, Data Migration, Data Governance, Data Quality, ETL Processes, SQL, Data Cleansing, Data Mapping, Data Validation, Leadership, Communication, Problem-Solving, Analytical Skills, SAP Data Services, Migration Cockpit

Industry

IT Services and IT Consulting

Description

Strategy and Planning: Serve as the single point of accountability for all data migration-related decisions, strategy, and execution. Lead and define the overall data migration blueprint and strategy, ensuring it aligns with project timelines and business objectives. Develop and maintain comprehensive data migration plans, including detailed cutover runbooks, schedules, and rollback procedures. Execution and Oversight: Lead the end-to-end data migration lifecycle: extraction, cleansing, transformation, validation, loading, and reconciliation. Oversee data mapping from legacy systems to the new SAP S/4HANA and ECC environment for both master and transactional data. Manage and provide guidance to a team of data migration specialists, functional consultants, and technical resources. Data Quality and Governance: Establish and enforce robust data governance policies and standards throughout the migration process. Drive data cleansing, profiling, and quality assurance activities to ensure data integrity and accuracy. Design and implement automated data validation tools and scripts to accelerate reconciliation. Stakeholder Collaboration: Work closely with business data owners, functional leads, and technical teams to gather requirements and resolve data discrepancies. Partner with SAP Security and GRC teams to define access controls and monitor segregation of duties (SoD) related to migration activities. Engage with internal and external audit teams to ensure all migration processes are compliant with standards like SOX and ITGC. Risk and Issue Management: Proactively identify, manage, and mitigate risks associated with data migration and escalate issues to project leadership as needed. Document all migration processes, issues, and resolutions for future reference and knowledge transfer. Cutover Management: Lead cutover readiness reviews and rehearsals to ensure a smooth transition to the new system with minimal business disruption. Manage post-go-live hypercare activities to address any data-related issues. Experience: A minimum of 10 years of overall SAP experience, with at least 5 years of hands-on experience in a leadership role on large-scale SAP data migration projects. Technical Skills: Expertise in SAP S/4HANA and ECC data structures and migration methodologies for both brownfield and greenfield implementations. Deep, hands-on experience with SAP data migration tools, including Migration Cockpit, SAP Data Services (BODS), and LSMW. Strong proficiency in ETL processes, data warehousing, and advanced SQL querying. Familiarity with data governance and data quality tools like Syniti is a plus. Functional Knowledge: In-depth understanding of SAP modules and their underlying data structures (e.g., Finance (FI/CO), Sales and Distribution (SD), Materials Management (MM), Production Planning (PP)). Experience with all stages of the data migration lifecycle, including blueprinting, testing, and validation. Leadership and Communication: Proven leadership ability to coordinate and influence cross-functional teams and external partners. Excellent communication, presentation, and stakeholder management skills. Strong analytical, problem-solving, and organizational skills with exceptional attention to detail. Education: A bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. SAP certifications are highly desirable.

Responsibilities

Lead and define the overall data migration strategy and execution, ensuring alignment with project timelines and business objectives. Oversee the end-to-end data migration lifecycle, including extraction, cleansing, transformation, validation, loading, and reconciliation.