Description
Key
Responsibilities
Define and execute enterprise data platform strategies to support business growth, analytics, and AI initiatives Lead the design, implementation, and governance of data lakes, data warehouses, streaming platforms, and enterprise data services Establish Data-as-a-Service (DaaS) and self-service analytics capabilities across the organization Translate business requirements into scalable data architectures, models, and enterprise solutions Oversee the delivery of strategic data, CRM, finance, risk, and market data technology initiatives Manage end-to-end project lifecycles including planning, requirements gathering, solution design, testing, deployment, and stakeholder management Lead data onboarding, integration, mapping, governance, and quality improvement initiatives Ensure projects are delivered within scope, timeline, budget, and regulatory requirements Manage vendor relationships, project governance, and risk controls across multiple workstreams Partner with AI and analytics teams to provide trusted, high-quality, AI-ready data assets Drive adoption of modern engineering practices including DevOps, automation, CI/CD, and operational excellence Lead enterprise data modelling initiatives covering financial products, customer data, market data, and trading information Build, mentor, and develop high-performing teams of business analysts, data engineers, architects, and developers Collaborate with regional and global stakeholders to resolve complex technic
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