Director of Enterprise Data Platforms & Transformation

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 technical challenges and improve platform stability

• Promote innovation, continuous improvement, and data-driven decision-making across the organization

Requirements

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Statistics, or related disciplines

• 10+ years of experience in data management, enterprise data platforms, data warehousing, and technology project delivery within banking or financial services

• Proven leadership experience managing large-scale enterprise technology and data transformation programs

• Strong understanding of financial products, client data, trading systems, market data, and revenue-related data structures

• Advanced SQL expertise with working knowledge of Java and related technologies

• Hands-on experience with modern data platforms and orchestration tools such as dbt, Airflow, Kafka, Hadoop, or similar technologies