Job Details:

Must Have Skills:

We are seeking an IT Data Migration
Lead to drive a cross‑organization
migration of banking and financial datasets—covering
Customer/KYC, Accounts & Products, Loans & Deposits, Cards &
Payments, Treasury, Risk, and Finance/GL. The role owns end‑to‑end migration strategy, data quality, reconciliation, and
regulatory compliance to ensure accurate, complete, and secure data
transition with zero/minimal business disruption across EOD/BOD cycles and
financial close periods.

Key Outcomes (First 30/60/90 Days)


· 30 days: Migration strategy, scope, and data domain inventory
finalized; risk & control framework baselined; mock run plan drafted.

· 60 days: Source‑to‑target mappings and transformation rules signed off; profiling
completed with remediation backlog; first mock run executed and reconciled.

· 90 days: Rehearsal migrations completed with green reconciliation;
cutover plan and rollback criteria baselined; stakeholder sign‑offs obtained.

Nice to Have Skills:
Good communication, Team Leader

Detailed Job Description:

) Strategy & Governance


· Own the end‑to‑end data
migration strategy (waves vs big‑bang)
aligned to release and financial close calendars.

· Define in‑scope/out‑of‑scope data domains, success criteria, KPIs, and acceptance thresholds.

· Establish data controls and governance in line with SOX, BCBS 239,
GDPR/DPDP, PCI DSS, and internal policies.

· Chair data working groups; act as Data SPOC across Business,
Operations, Risk, Finance/Controllership, Security, and Vendors/SIs.

2) Source & Target Analysis






· Lead deep analysis of source systems (Core Banking, Cards, Payments,
Trade, Treasury, Risk, GL/sub‑ledgers)
and target platforms.

· Drive canonical data model alignment; author/source‑to‑target mapping specifications and transformation
rules.

· Define data retention, archival, and purging strategy for
decommissioning legacy systems.

3) Data Quality, Profiling & Cleansing


· Own profiling of critical attributes (completeness, validity,
duplicates, referential integrity, PII sensitivity).

· Prioritize and drive remediation of data quality issues with business
owners and system SMEs.

· Define standardization (e.g., product hierarchies, customer types),
survivorship, and deduping rules (MDM alignment).

4) Migration Factory Execution Oversight


· Collaborate with ETL/Data Engineering teams on extraction,
transformation, load sequencing, and performance tuning.

· Review SQL/ELT logic, parameterization, data masking/encryption, and
error handling; enforce code review checklists.

· Plan and supervise rehearsal runs, dress rehearsals, and cutover
execution with transparent go/no‑go and
rollback criteria.

5) Validation, Reconciliation & Controls


· Define multi‑level reconciliations: record counts, control
totals, financial tie‑outs
(GL/sub‑ledger), and attribute‑level checks.

· Coordinate business validation, UAT, and sign‑offs; ensure continuity of reports (MIS, regulatory, IFRS 9/CECL
analytics).

· Maintain auditable lineage, metadata, and evidence packs for
internal/external audit.

6) Risk, Security & Compliance


· Implement data protection controls for PII/PCI data: masking,
tokenization, encryption, key management, access control.

· Ensure segregation of duties, maker‑checker, and break‑glass
procedures during cutover.

· Manage regulatory data obligations (KYC/AML data, sanctions screening
history, customer consent, retention policies).

7) Stakeholder Management & Communication


· Publish migration dashboards on readiness, DQ defects, reconciliation
status, and risks/issues.

· Drive decision forums for exceptions, data ownership conflicts, and
scope trade‑offs.

· Provide concise executive updates and steerco materials.

Qualifications & Experience


· 10–15 years in Data/Analytics with 5+ years leading complex migrations
in Banking/Financial Services.

· Proven delivery of at least 2 large migrations across banking domains
(Retail, Corporate, Cards/Payments, Treasury, Risk, Finance).

· Strong SQL; exposure to ETL/ELT and data platforms (e.g.,
Informatica/Talend, Azure Data Factory/Databricks/Synapse, Snowflake,
BigQuery, Redshift).

· Understanding of data warehousing, lakehouse, and streaming ingestion
patterns.

· Hands‑on experience with data quality tooling and
metadata/lineage (e.g., Collibra/Atlan/Purview).

· Familiarity with controls and regulations: SOX, BCBS 239, GDPR/DPDP,
PCI DSS; knowledge of KYC/AML concepts.

· Excellent stakeholder management, vendor oversight, and documentation
skills.