Enterprise Data & AI Enablement Lead Vice President

Overview

In this role you enable ORDG’s governed data products and shared AI services to be reusable across the firm, serving as a bridge between governance foundations and consuming platforms. You will define enterprise data contracts and standard consumption patterns, drive adoption, and prevent capability sprawl. You’ll coordinate with cross-functional teams to ensure safe, scalable data and AI usage while keeping governance at the forefront. This is a chance to shape how the firm delivers data and AI capabilities with a “build once, reuse safely” mindset.

Responsibilities

• Understand data-usage requirements across firm platforms and translate them into governed consumption patterns
• Own enterprise data contracts including SLAs, versioning, deprecation and change communication
• Publish standard consumption patterns (APIs, Data Mesh products, event topics) to prevent duplication
• Drive adoption of ORDG shared AI services and consolidate overlapping capabilities
• Partner on lifecycle, quality gates, and certification of consumer-facing products
• Manage consumer onboarding and post-go-live health of relationships
• Maintain the shared-service catalogue with ownership, consumption, and adoption details
• Measure and report adoption, contract compliance, and avoided rebuilds
• Instrument consumption telemetry and feed adoption signals into product backlog
• Support cross-functional prioritisation and represent the consumer voice in planning
• Coach teams on reuse principles and codify new shared services

Key requirements

• Experience in data-product enablement, platform product management or equivalent cross-consumer role in financial services
• Defined and run enterprise data contracts with multiple consumer teams
• Knowledge of REST/GraphQL APIs, event streams, Data Mesh products, semantic layers
• Track record delivering shared services and preventing duplicated build across teams
• Strong stakeholder management across Technology, Product Owners, Data Science, and business owners
• Excellent written and verbal communication for senior management and non-specialists
• Ability to manage multiple parallel workstreams with quality and discipline
• Familiarity with AI tools including LLMs and governance for safe AI consumption

• stakeholder-management
• clear communication
• change management
• enterprise data contracts (SLAs, versioning, deprecation)
• REST/GraphQL APIs
• event-driven architectures

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