Senior Data Project Manager — AML/CFT & Model Migration

Peoplebank; Singapore; On-site; SGD 80,000 - 100,000; Part time

Job summary

A leading financial services firm is seeking a Senior Data Project Manager to oversee a significant AML/CFT initiative. Candidates should have over 10 years of project management experience in financial technology, particularly in large-scale data migration. This role offers a competitive salary and a chance to lead critical data governance projects in a dynamic environment.

Qualifications

• 10+ years of project management experience in financial services technology.
• Strong understanding of data warehouses and integration patterns.
• Hands-on experience with data governance frameworks.

Responsibilities

• Lead the project lifecycle from initiation to closure.
• Coordinate stakeholders to drive alignment on project scope.
• Oversee data migration and ensure compliance with governance.

Skills

Project management

Data governance

Stakeholder management

Vendor management

Communication skills

Education

Bachelor’s degree in IT/Computer Science/Finance/Business

Tools

MS Project

JIRA

Tableau

Qlik

Power BI

Job description

Senior Data Project Manager – AML/CFT & Model Migration

Location: Central, Singapore

Employment Type: 1-Year Contract

Compensation: Up to SGD 10,000/month

About the Role

We’re hiring a Senior Data Project Manager to lead a high-impact AML/CFT initiative, with a key mandate to migrate analytical models from T4 playpen into the enterprise Model Analytics Platform (MAP). You’ll own end-to-end delivery across business and technology, aligning stakeholders, enforcing governance (AI & data protection), and ensuring timely, well-controlled cutover.

What You’ll Do

• Own the project lifecycle from initiation to closure with clear planning, documentation, and stakeholder communications.
• Lead the T4 → MAP model migration, defining scope, timelines, resourcing, success criteria, and acceptance standards.
• Coordinate stakeholders (Data Management Office, Group Compliance, Group Wholesale Banking, Technology) to drive alignment on scope, priorities, and outcomes.
• Uphold governance across AI governance, data protection, risk and controls; ensure traceability, auditability, and evidence retention.
• Plan and manage project schedules, budgets, resources, dependencies, and RAID (risks, assumptions, issues, decisions).
• Oversee data migration (mapping, validation, reconciliation, defect management) for AML/CFT data domains.
• Direct testing across SIT/UAT/performance testing; embed strong feedback loops and readiness criteria for go‑live.
• Engage vendors—evaluate options, negotiate contracts/SOWs/SLAs, and manage delivery performance.
• Provide hypercare & BAU transition post‑implementation, including troubleshooting, fixes, and incremental enhancements.
• Report progress via concise dashboards and packs for senior stakeholders and governance forums.

What You Bring

• Bachelor’s degree in IT/Computer Science/Finance/Business or related field.
• 10+ years of project management delivering large, complex financial‑services technology initiatives (AML/CFT, risk, compliance).
• Strong understanding of data warehouses, data lakes, and integration patterns (architecture, design, lineage, metadata).
• Hands‑on experience with data governance frameworks, data quality, data dictionaries/glossaries, and lineage tooling.
• Proven track record running large‑scale data migrations (mapping, validation, reconciliation, risk mitigation).
• Working knowledge of BI/visualisation (Tableau/Qlik/Power BI) for stakeholder reporting and adoption.
• Exposure to regulatory/financial reporting; familiarity with BCBS 239 for risk data aggregation and reporting.
• Awareness of data protection and cross‑border data rules (e.g., PDPA, GDPR) and how to operationalise them in delivery.
• Strong knowledge of AML/CFT frameworks and regulators (e.g., FATF, OFAC, local regulators).
• Proficiency with delivery toolsets (e.g., MS Project, JIRA) and structured methods (RAID, stage gates, change control).
• Excellent communication, facilitation, and stakeholder management skills; able to translate strategy into executable plans.
• Demonstrated vendor management and contract/SOW negotiation experience.

Nice to Have

• Prior delivery exposure to model lifecycle management and platform migrations (sandbox/playpen to governed platforms).
• Experience with AI/ML governance, model risk management, and monitoring.
• Banking data domain knowledge across KYC, transaction monitoring, screening and related AML/CFT systems.

How to Apply

Interested applicants, please click the “Apply Now” link to submit your updated resume. All information will be treated with strict confidentiality and used solely for recruitment purposes.