Data Strategist, Core Banking Innovation

The Data Strategist owns the data migration, cleansing, and reconciliation strategy for the Core Banking Innovation programme. The role defines migration approach, mapping, and reconciliation frameworks, and leads the execution of data migration tests and sign-off of migration outcomes

from legacy to the new core platform.

Project Responsibilities:

• Migration Strategy: Manage data migration approach, designs, and source-to-target mapping across in-scope systems.

• Cleansing Approach: Develop the data cleansing and reconciliation approach with business and technology stakeholders.

• Stakeholder Coordination: Liaise with business data owners, BAs, and engineering teams to align on data quality and migration outcomes.

• Risk Management: Identify migration risks (volume, quality, downtime) and define mitigation plans.

• Progress Reporting: Provide regular reporting on migration readiness, defect trends, and reconciliation results.

Primary Responsibilities:

• Migration Test Execution: Plan and execute mock and dress-rehearsal data migration tests.

• Legacy Data Extraction: Build legacy data extractions and reports needed for migration, reconciliation, and audit.

• Cleansing Execution: Execute data cleansing activities and sign-off migration reconciliation results.

• Data Quality Assurance: Define and enforce data validation rules, controls, and quality gates.

• Documentation: Maintain migration playbooks, mapping documents, and reconciliation evidence.

• BAU Support: Support BAU data operations and remediation of post-migration data issues.

Job requirements:

• Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field, or equivalent work experience.

• Minimum 8 years of experience in data engineering, data migration, or data management leadership roles.

• Proven experience leading data migration for core banking or large financial transformations.

• Strong understanding of ETL processes, data mapping, and reconciliation frameworks.

• Hands-on experience with Oracle, MS SQL, and large-volume data extraction.

• Proficient in SQL, data modeling, and migration tooling.

• Strong analytical, problem-solving, and reconciliation skills.

• Excellent communication and stakeholder management.

• Ability to design controls that ensure data integrity at scale.

Preferred / Advantageous Experience:

• Financial Services: Experience leading data migration in core banking or regulated financial environments.

• CDC & Streaming: Familiarity with Change Data Capture and Kafka-based real-time data flows.

• Operational Data Store: Experience designing or operating ODS in near-real-time environments.

• Cloud Data Platforms: Familiarity with AWS, Azure, or Google Cloud data services.

• Data Governance: Knowledge of data governance, lineage, and regulatory data requirements.