Job Overview:
We are seeking a Data Strategy Lead to define and drive the modernisation of enterprise data platforms within corporate banking. The role combines data platform strategy, architectural guidance, and AI/ML enablement to deliver scalable, secure, and cost-efficient solutions aligned with enterprise standards and regulatory requirements.
Key Responsibilities:
Define and own the data platform strategy and roadmap
Provide architectural guidance for cloud-native and lakehouse platforms
Lead migration from legacy data warehouses to modern platforms
Drive performance, scalability, resilience, and FinOps optimisation
Enable AI/ML platforms, including MLOps and model lifecycle
Guide solutions from PoC to production using reusable patterns
Define standards for batch, streaming, APIs, and data services
Ensure compliance with data governance, lineage, quality, and GDPR
Act as a trusted advisor to business, engineering, and risk stakeholders
Collaborate with Product Owners, System Teams, and Agile Release Trains
Required Skills & Experience:
10+ years experience in data engineering or data architecture
Strong experience with cloud or hybrid data platforms
Hands-on expertise with Databricks, Snowflake, Kafka, ETL/ELT (Informatica)
Strong Python and SQL skills
Experience with Delta Lake, Iceberg, and relational/NoSQL databases
Understanding of AI/ML platforms, MLOps, and enterprise integration
Experience with data governance, lineage, and metadata tools
Strong stakeholder communication skills
Experience working in Agile / SAFe environments
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