DATA MIGRATION LEAD

Work Experience

• 8+ years of experience delivering large-scale data migration initiatives (preferably core banking / deposits), including mapping, reconciliation, and cutover support.
• • Proven experience leading a data migration workstream and managing vendor delivery teams and cross-functional stakeholders.
• • Experience with legacy-to-modern platform migrations (AS/400 to modern core banking, cloud-native or microservices architectures) is strongly preferred.
• • Hands-on experience with TCS, Finacle, or Fiserv platforms (at least two required)
• Knowledge Area • Data quality and validation concepts
• • Working understanding of ETL concepts and migration lifecycle
• • Understanding of banking data objects (customer/account, balances, product parameters, transaction history) and downstream impacts.

Skills

• • Strong analytical skills; comfortable working with large datasets and spotting patterns/variances.
• • Proficiency in SQL (preferred) and Excel; experience with data tools (e.g., Power BI) is a plus.
• • Strong documentation discipline (logs, trackers, evidence packs) and attention to detail.
• • Good communication skills to coordinate clarifications and follow-ups across IT, vendor, and business SMEs.
• • Structured problem-solving and ability to summarize issues and impacts clearly.

RESPONSIBILITIES

• • Define the overall migration strategy, scope, approach (phasing/co-existence if applicable), and acceptance criteria; align with program releases and cutover milestones.
• • Develop and maintain the data migration plan (timeline, environments, mock runs/dress rehearsals, final cutover), including dependencies with Integration, Testing, Operations, and legacy platform teams.
• • Govern vendor delivery: review and validate vendor migration design, runbooks, ETL approach, mapping specifications, transformation rules, and reconciliation logic; ensure clear RACI and delivery ownership.
• • Lead migration defect triage ensure issues are logged, prioritized, tracked to closure, and that RCA is completed for recurring defects; escalate risks early.
• • Ensure test data readiness for SIT/UAT and parallel run activities (data refreshes, data masking where required, refresh cadence, and data-related test support).
• • Plan and coordinate cutover data activities and readiness checkpoints (pre-cutover snapshots, load sequencing, reconciliation checkpoints, rollback/fallback approach) with minimal downtime and operational impact.