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It data migration lead with banking

Sydney
Xptsoftware
IT
Posted: 10 March
Offer description

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.

Job Details

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

* 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.
* 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.
* 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).
* 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 clear go/no‐go and rollback criteria.
* 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.
* 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).
* 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.
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