VP, Data Products (Enterprise Data), Innovation Group
Core
Design, build, and deliver enterprise Data Products and Data-as-a-Service solutions to transform data assets into trusted, governed, reusable, and business-ready products enabling analytics, AI, and value creation.
Role type
VP, Data Products & Innovation (Strategy & Hands-on IC)
Builds
Enterprise data products, Data-as-a-Service platforms, self-service consumption channels, and scalable data use cases.
Domain
Banking / Financial Services / Enterprise Data & AI
Deliverable
production ML models
Required skills
Enterprise data product strategy, Data-as-a-Service architecture, stakeholder engagement, data governance, product lifecycle management, use case prioritization, operationalization of data platforms, regulatory compliance, cross-functional delivery coordination.
Preferred skills
Banking domain expertise, innovation challenge leadership, culture of customer-centricity and continuous improvement.
Technologies
Enterprise big data analytics platforms, self-service data platforms, data discovery services, AI/ML frameworks.
Responsibilities
Lead development of enterprise Data Products and Data-as-a-Service solutions; define data product operating model and lifecycle management; identify and prioritize data product use cases with business objectives; lead delivery and operationalization of high-quality datasets and self-service channels; support Centre of Excellence with advisory and delivery discipline; coordinate across engineering, governance, and business teams.
Seniority
VP, Strategy & Hands-on IC