Corporate banking data strategy & execution - Director

The Director of Data Execution & Strategy will lead the strategic direction, governance, and operational execution of the bank’s enterprise data agenda. This role is responsible for transforming data into a strategic asset—enabling data-driven decision-making, regulatory compliance, operational efficiency, and business growth across the organization.

You will define and deliver the enterprise data strategy, ensure alignment with business priorities, and lead cross-functional initiatives to modernize data capabilities, including data governance, quality, architecture, analytics, and AI enablement.

• Define and implement the enterprise-wide data strategy aligned to corporate banking objectives, regulatory requirements, and digital transformation goals.
• Partner with business and technology leaders to identify opportunities for leveraging data to drive revenue growth, customer insight, and operational excellence.
• Shape the bank’s data culture—promoting literacy, accountability, and ethical data use.

• Lead delivery of large-scale data programs, ensuring timely execution of data platform modernisation, integration, and migration initiatives.
• Oversee data management programs, including data governance, metadata management, data lineage, and data quality frameworks.
• Drive execution of advanced analytics and AI/ML use cases, ensuring scalability and sustainability.

• Ensure compliance with regulatory and data privacy requirements (e.g. BCBS 239, GDPR, CCPA, local banking data standards).
• Partner with Risk, Compliance, and IT Security to maintain strong data controls and risk management processes.

• Champion adoption of emerging data technologies (e.g. cloud data platforms, real-time streaming, AI-powered insights).
• Establish KPIs and success metrics for data initiatives, ensuring measurable business outcomes.

• 10+ years’ experience in data strategy, analytics, or data governance roles within financial services or banking.
• Proven track record of delivering large-scale data transformation or data platform programs.
• Knowledge of banking regulatory data requirements and risk frameworks.
• Expertise in modern data technologies (cloud data warehouses, data lakes, APIs, AI/ML integration).
• Excellent stakeholder management, communication, and influencing skills at C-suite level.
• Demonstrated ability to balance strategic vision with execution discipline.

• Experience leading teams in a complex matrix or global organization.
• Familiarity with cloud ecosystems (AWS, Azure, GCP) and modern data architectures.
• Master’s degree in Data Science, Information Systems, Business, or a related field.
• Certifications in data management, governance, or project delivery (e.g. DCAM, PMP, TOGAF).