Digital & Platform Services - Head of Applied AI & Data Transformation for Core Data - Executive Director

Overview

Executive Director role leading the strategic transformation of Core Data within the Commercial & Investment Bank. You will define AI-readiness, automation, and data quality programs to enable business growth and operational excellence, partnering with Technology, Business, and Operations. You will lead a high-calibre team and establish an operating model delivering value across Markets and Securities Services. This is a chance to shape data capabilities at scale and influence senior leadership.

Responsibilities

• Drive strategic direction of Core Data aligning with the CIB Data AI-Readiness framework
• Define and implement a roadmap for agent-ready Core Data (discoverability, entitlements, semantic context)
• Partner with Technology to make Core Data assets discoverable and consumable
• Register and describe core data assets in the Compass catalogue and integrate into Fusion
• Shape exposure of reference data through distribution APIs to meet consumption patterns
• Establish semantic layers providing meaning and relationships for AI/agentic consumers
• Identify and reduce complexity, duplication, and manual handling in Core Data
• Develop independent data quality assessment capabilities with transparent reporting
• Evaluate and prototype automation approaches (rules-based, AI/ML, agentic)
• Reduce access friction and enable self-service for Business and Operations users
• Build partnerships across Reference Data Product Owners, Operations, CIB CDAO Teams, Corporate Technology, and senior leadership
• Lead and scale a high-performing team as business demand grows

Key requirements

• Proven experience leading data strategy, transformation, or similar senior role in financial services or regulated environment
• Deep understanding of core data domains and downstream workflows
• Familiarity with data cataloguing, metadata, and API design concepts
• Ability to translate complex data concepts for diverse audiences
• Experience designing or overseeing automation solutions for data management and operations
• Track record of delivery through influence across Business, Operations, Functions, and Technology
• Entrepreneurial mindset with ability to build from the ground up and scale capabilities
• Team leadership and people management experience
• Stakeholder management
• Communication skills
• Strategic thinking
• AI/ML and agentic approaches in data management
• Data quality assessment methodologies
• Data cataloguing and metadata

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