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 ******** 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:
Positive 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 clear 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
·

***** 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.

📌 It Data Migration Lead With Banking (Sydney)
🏢 XPT Software Australia Pty
📍 Sydney