The Data Migration Lead is responsible for defining, planning, managing, and executing end-to-end data migration activities for Temenos Transact (T24) Core Banking transformation program.
The role leads the migration strategy, data assessment, mapping, cleansing, conversion, reconciliation, testing, and cutover activities to ensure accurate and complete migration of customer, account, loan, payment, and transaction data from legacy systems into Temenos Core Banking.
The role involves migration of products from Transact LD module to Transact AA module.
The Data Migration Lead works closely with Business SMEs, Solution Architects, Integration Teams, Testing Teams, and Business Users to ensure the successful delivery of data migration objectives with minimal business disruption.
Key Responsibilities Data Migration Strategy & Planning Define and own the overall Data Migration Strategy and Roadmap. Develop data migration plans, scope, timelines, and deliverables. Establish migration governance, quality controls, and approval processes. Define migration waves, rehearsal cycles, and cutover approaches. Identify migration risks, dependencies, and mitigation plans. Coordinate migration activities across multiple countries, entities, and business units. Data Assessment & Analysis Analyze source system data structures and business processes. Conduct data profiling and data quality assessments. Identify data gaps, inconsistencies, and cleansing requirements. Evaluate legacy system complexities and dependencies. Define source-to-target migration scope. Key data domains include: Customer Data Account and Deposits Data Lending Data (Retail and Corporate) Payments & Transactions Trade Finance & Treasury Letters of Credit Guarantees Trade Contracts Limits Exposure Data Mapping & Transformation Define source-to-target data mapping specifications. Review and validate mapping rules with business stakeholders. Design data transformation logic. Manage reference data, code conversions, and enrichment rules. Ensure alignment with Temenos data model and product setup requirements. Collaborate with Functional Teams to resolve data interpretation issues. Deliverables include: Data Mapping Documents Transformation Rules Conversion Specifications Data Quality Reports Reconciliation Frameworks Data Quality & Cleansing Define data quality standards and thresholds. Lead data cleansing activities with business stakeholders. Identify duplicate, incomplete, and inaccurate records. Establish remediation plans for data quality issues. Govern ongoing quality controls throughout migration cycles. Migration Development & Execution Oversee development of migration scripts and ETL processes. Coordinate extraction, transformation, and loading (ETL) activities. Validate migra
Strong understanding of banking data structures and business processes
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