Head of Data Engineering

Head of Data Engineering Job Posting: The Head of Enterprise Data Engineering is responsible for defining and executing the Bank's enterprise data engineering vision, strategy, and architecture. This executive leader oversees the end-to-end data ecosystem, ensuring scalable, secure, and regulatory-compliant data capabilities that power business growth, operational excellence, advanced analytics, and AI-driven innovation. As a key technology influencer, this leader partners across business and technology functions to shape enterprise-wide data strategy, modernize the Bank's data platforms, and establish a future-state architecture that enables trusted, high-quality data from source systems through analytical and reporting environments. The role combines strategic leadership with operational execution, ensuring successful delivery of critical enterprise transformation initiatives while driving modernization across the data and analytics landscape. The successful candidate will combine executive leadership, strategic vision, and deep technical expertise, with the ability to seamlessly transition between enterprise strategy and hands-on engagement in complex data architecture, engineering, AI, modernization, and platform-related challenges. This is not a pure oversight role; the leader must possess the technical credibility and practical experience to influence strategy, guide architectural decisions, and support resolution of critical technical issues when necessary.

Enterprise Data Strategy & Architecture Define and advance the Bank's enterprise data strategy, architecture, and modernization roadmap aligned to business priorities and long-term technology objectives. Establish the architectural vision for enterprise data capabilities, ensuring scalability, resilience, security, and regulatory compliance. Lead the design and governance of end-to-end data architecture, including source systems, systems of record, data lineage frameworks, data integration platforms, data warehouses, and analytical environments. Influence enterprise-wide technology and business strategy through thought leadership, innovation, and strategic partnership with executive stakeholders. Serve as the senior technical authority for enterprise data engineering and architecture, providing guidance on complex architectural decisions, platform strategy, engineering standards, and modernization efforts. Data Engineering & Transformation Leadership Lead large-scale data transformation initiatives currently in active delivery phases, ensuring successful execution of strategic modernization programs. Drive optimization of the enterprise data landscape by simplifying architectures, reducing technical debt, improving data accessibility, and enhancing platform performance. Oversee enterprise data engineering capabilities supporting mission-critical business operations and analytics. Ensure engineering excellence through the adoption of modern development practices, automation, data observability, and operational rigor. Provide hands-on leadership during critical delivery, architecture, and platform challenges, partnering directly with engineering teams to resolve complex technical issues and accelerate strategic outcomes. Data & Analytics Platform Ownership Maintain executive accountability for the Bank's enterprise data and analytics technology portfolio, including platforms such as Databricks, Snowflake, Power BI, data management, and emerging AI-enabled capabilities. Develop and execute modernization strategies that advance cloud-based data platforms and next-generation analytical capabilities. Lead the evaluation and adoption of emerging technologies, ensuring the Bank's data ecosystem remains scalable, resilient, and positioned for future growth. Maintain deep knowledge of enterprise data platforms and architecture patterns to effectively guide platform evolution, technology investment decisions, and engineering execution.   AI, Data