Data Migration Lead - ISSG-005
Must-have:FinTechSeniorLead
Your tasks
MULTIVENDOR, MULTI-COUNTRY TEAM
- Analyze data requirements and design solutions.
- Define the project-specific data migration strategy, approach, and plan, covering migration scope, methods, tooling, the reconciliation framework, and lifecycle deliverables in full alignment with the program's Data Migration and Cutover Policy.
- Own the workstream end to end. Analyze data requirements, design the To-Be migration solution, and drive requirement and design sign-off with business and technology stakeholders.
- Manage all data migration activities and cross-team dependencies, coordinating the Data Mapping, Data Profiling & Cleansing, Reconciliation, and Static/Master Data workstreams, each staffed by dedicated specialists whose outputs this role orchestrates.
- Plan and sequence the migration lifecycle across its full arc: profiling and cleansing, mapping and build, iterative migration test runs, dress rehearsals, and the production cutover weekend.
- Drive data mapping between legacy source systems (core platform, end-user computing applications, and head-office systems) and the target lending platform, validating mapping logic and transformation rules with source and target subject-matter experts.
- Support SIT/UAT test planning and execution, triage integration and data defects, and drive resolution with vendor and delivery teams through to closure.
- Lead migration validation and reconciliation for the core banking modules. Record counts and control totals across every stage, through mock loads, dress rehearsals, and production data migration, and agree acceptance criteria for reconciliation variances with end users.
- Support cutover planning and hypercare through go-live, ensuring readiness against the program's formal entry/exit criteria at each gate (tool test, dress rehearsal, cutover / go-no-go).
- Prepare regular status reporting on migration progress. Identify, resolve, and escalate risks and issues proactively, particularly where cross-team or vendor dependencies put milestones at risk.
- Manage stakeholders across business, technology, and vendor organizations, including presenting migration approaches, options, and risk positions directly to senior stakeholders and steering forums.
- Delivery: SIT/UAT support, defect triage, entry/exit gate criteria, cutover and hyper care
- Controls: Data masking and production-data handling for non-production environments.
Requirements
Job Level: 10+ years of relevant experience (L4)
Key Requirements
- 10+ years of hands-on data migration / integration implementation experience within a core banking transformation program. Candidates with advisory-only or purely functional-consulting backgrounds will not meet the bar for this role.
- Practical, personally delivered experience across the full migration lifecycle: data mapping, profiling, cleansing, reconciliation design, mock/trial loads, dress rehearsals, and production cutover execution.
- Working knowledge of core banking data structures for lending products: the facility / limit / loan / transaction hierarchy, collateral and guarantee linkage, schedules, accruals, and balances. Strongly preferred given this release's lending scope.
- A strong grasp of reconciliation principles: record counts versus control totals, multi-level reconciliation (source, transformation, target, and GL), and the discipline of audit-ready evidence.
- Excellent written and verbal communication skills; comfortable presenting solution options, trade-offs, and status directly to senior stakeholders and vendor leadership.
- Must be based in the Singapore for the entire duration of the project. The exact work location will be communicated after client confirmation.
Good to Have
- Prior experience acting as techno-functional SME across core banking plus one or more of Payments, Trade Finance, or Lending domains.
- Direct implementation experience on a modern packaged lending or universal-banking platform, particularly customer, lending, and trade data migration.
- Experience operating within a formal, policy-governed migration structure with defined KPIs, standard deliverable templates, and entry/exit gate criteria, rather than ad hoc migration delivery.
- Exposure to multi-country, multi-release transformation programs, where lessons learned from one market's release are systematically carried into the next.
- Familiarity with data masking and production-data handling controls for non-production test environments.
Technical Skills
- Migration Lifecycle: Data mapping, data profiling, data cleansing, mock/trial loads, dress rehearsals, production cutover execution
- Reconciliation: Record counts vs control totals, multi-level reconciliation (source, transformation, target, GL), audit-ready evidence
- Core Banking Data: Lending data structures – facility / limit / loan / transaction hierarchy, collateral and guarantee linkage, schedules, accruals, balances
- Source-to-Target: Mapping logic and transformation rules across legacy core platform, end-user computing applications, and head-office systems
Other
Role: Data Migration Lead
Job Requisition Number: ISSG-005
Location: Singapore