
10,000+ employees
Founded 1996
🤝 B2B
🏢 Enterprise
B2B • Enterprise • Technology Consulting
Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.
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10,000+ employees
Founded 1996
🤝 B2B
🏢 Enterprise
B2B • Enterprise • Technology Consulting
Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.
• 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. • Coordinate with banks business and IT SMEs to validate source-to-target mappings, reference data alignment, and critical business rules (e.g., product parameters, balances, interest, fees, account status). • Define and execute banks verification controls with the vendor (record counts, control totals, balance/GL tie-outs, exception management) and obtain stakeholder sign-off for each migration cycle. • Lead migration defect triage from a banks perspective: 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. • Ensure compliance with banks data governance, security, and regulatory requirements throughout migration (access control, secure transfer, audit trail, retention and masking for non-production). • Provide regular status reporting (progress, risks, issues, decisions) to program governance and senior stakeholders; maintain RAID and action logs for the data migration workstream.
• Total experience 8+ years. • 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 DMS platforms or other core banking platforms like Flexcube, Temenos etc. • 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. • 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.
• Employees can work remotely
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