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Job Description
A senior data migration professional responsible for leading large-scale migration initiatives within banking environments. The role focuses on defining migration strategy, overseeing vendor delivery, ensuring data integrity, and coordinating across business, IT, and external stakeholders for successful system transitions (especially legacy-to-modern core banking platforms).
Responsibilities:
Define migration strategy, scope, approach (phasing/co-existence), and acceptance criteria aligned with program timelines and cutover milestones
Develop and manage the end-to-end data migration plan, including mock runs, dress rehearsals, and final cutover activities
Govern vendor delivery by reviewing migration design, runbooks, ETL processes, mapping specs, transformation rules, and reconciliation logic
Coordinate with business and IT SMEs to validate source-to-target mappings and business rules (e.g., balances, fees, account status)
Execute data validation and verification controls (record counts, control totals, reconciliations) and secure stakeholder sign-offs
Lead defect triage, ensuring proper logging, prioritization, root cause analysis (RCA), and resolution of issues
Ensure test data readiness for SIT/UAT and support parallel run activities, including data refreshes and masking
Plan and execute cutover data activities, including sequencing, reconciliation checkpoints, and rollback strategies
Ensure compliance with data governance, security, and regulatory requirements (e.g., access control, audit trails, data masking)
Provide regular status updates, maintain RAID logs, and communicate risks, issues, and progress to stakeholders
Qualifications
8+ years of experience in large-scale data migration initiatives (preferably in core banking/deposits)
Proven experience leading migration workstreams and managing vendors and cross-functional teams
Experience in legacy-to-modern platform migrations (e.g., AS/400 to modern or cloud-based systems)
Hands-on experience with at least two platforms such as TCS, Finacle, or Fiserv
Strong understanding of data quality, validation, and reconciliation concepts
Working knowledge of ETL processes and migration lifecycle
Familiarity with banking data structures (customer, accounts, transactions, balances, product parameters)
Strong analytical skills with ability to work on large datasets and identify discrepancies
Proficiency in SQL and Excel; Power BI or similar tools are a plus
Excellent documentation and attention to detail (logs, trackers, evidence packs)
Effective communication skills for cross-functional coordination
Strong problem-solving skills with ability to clearly summarize issues and impacts
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