What you will do:

Lead and manage IT projects focusing on AML/CFT compliance within the organization;
Oversee the full project lifecycle, from initiation to completion, ensuring proper documentation and communication at every stage;
Lead end-to-end delivery of the project, ensuring timely migration of the models from T4 playpen into Model Analytics Platform (MAP)
Coordinate with stakeholders (e.g., Data Management Office, Group Compliance and Group Wholesale Banking) to ensure alignment of the scope, priorities, and success criteria of the model migration
Ensure compliance with governance frameworks (e.g., AI governance and data protection)
Develop and manage project timelines and resource allocation across respective business units (BUs) and Technology team
Manage project scope, risks, dependencies, and resource allocation
Act as the primary point of contact between the technical teams and the business units;
Oversee data migration, testing, and troubleshooting for AML/CFT data-related projects;
Identify potential project risks related to AML/CFT system design, implementation, and maintenance;
Oversee the testing phases of AML/CFT software to ensure functionality, accuracy, and performance;
Coordinate user acceptance testing (UAT) and ensure effective feedback loops with end-users;
Collaborate with third-party vendors and service providers to evaluate, select, and manage AML/CFT solutions;
Provide post-implementation support, including troubleshooting, maintenance, and system updates.* Bachelor's degree in Information Technology, Computer Science, Finance, Business Administration, or a related field;
10+ years of experience in project management, with a focus on IT systems related to financial compliance, risk management, or AML/CFT;
Strong understanding of data warehouses, data lakes, and related storage/processing platforms, including architecture, design, and integration with enterprise systems.
Familiarity with data governance frameworks, data quality standards, data lineage, and metadata management; experience working with data glossaries and data dictionaries.
Proven experience in planning and executing large-scale data migration initiatives, including mapping, validation, reconciliation, and risk mitigation.
Knowledge of BI/visualization tools such as Tableau, Qlik, or Power BI to support business insights and stakeholder reporting.
Exposure to financial/regulatory reporting processes, ensuring compliance with local and global regulatory requirements.
Understanding of BCBS 239 principles for risk data aggregation and reporting; ability to translate requirements into data management and reporting deliverables.
Awareness of data protection regulations (e.g., GDPR, PDPA) and cross-border data sharing restrictions; ability to manage projects ensuring compliance with legal and regulatory obligations.
Strong understanding of AML/CFT regulations and frameworks, including FATF, OFAC, and local regulatory bodies;
Proven experience in managing large, complex IT projects in a financial institution or similar regulated environment;
Strong project management skills, including proficiency with project management tools (e.g., MS Project, JIRA and others);
Possess excellent communication and interpersonal skills, with the ability to interact effectively with both technical teams and business stakeholders;
Experience in vendor management and contract negotiations.

Lead Data Analyst

Lead Data Business Analyst