Director, Data Engineering & Platform

Summary ‎  The Director, Data Engineering & Platform provides M4-level organizational leadership for the execution of the enterprise data engineering and platform vision and strategy established by the VP, Enterprise Data Platforms. The Director contributes to the evolution of the platform strategy in partnership with the VP, Director of Data Architecture, and peer leaders, but is primarily accountable for translating that strategy into an executable operating model, multi-year modernization roadmap, engineering governance, delivery priorities, and measurable enterprise outcomes. This role owns the way enterprise data engineering and platform work is executed across the organization. The Director leads multiple engineering managers and cross-functional engineering organizations responsible for enterprise data engineering, platform engineering, data integration, data operations, and platform services. The role ensures that enterprise data capabilities are secure, scalable, resilient, cost-effective, and aligned to strategic growth initiatives, digital transformation, AI enablement, interoperability, enterprise reporting, and data-driven decision-making. The Director balances organizational leadership, technology execution, financial stewardship, vendor strategy, operating discipline, and business partnership while developing a high-performing engineering organization capable of delivering enterprise-scale data products and platform services. ‎  How will you make an impact & Requirements ‎  Enterprise Strategy Execution & Platform Capability Leadership Own execution of the enterprise data engineering and platform strategy established by the VP, Enterprise Data Platforms, translating strategic direction into an operating model, multi-year execution roadmap, delivery priorities, and measurable outcomes. Contribute to enterprise platform vision, strategy, and technology direction in partnership with the VP, Director of Data Architecture, and peer technology leaders. Establish the enterprise data engineering operating model, engineering governance, standards, and operating principles adopted across the organization. Establish and maintain the platform evolution roadmap aligned with enterprise data strategy, modernization priorities, architectural direction, security requirements, and business objectives. Accountable for implementing enterprise data platform capabilities that support strategic growth initiatives, digital transformation, AI enablement, interoperability, enterprise reporting, and data product delivery. Evaluate emerging technologies, platform capabilities, and engineering practices to recommend pragmatic adoption approaches that improve enterprise outcomes. Enterprise Platform Ownership & Modernization Execution Own enterprise data engineering operations and the way work is executed across platform engineering, data engineering, data integration, and data operations. Own execution of the enterprise platform strategy, including platform modernization, cloud transformation, lifecycle management, automation, and operational maturity. Own the modernization roadmap for enterprise data engineering and platform capabilities, ensuring roadmap execution remains aligned with VP strategy, enterprise architecture, and business priorities. Accountable for enterprise engineering service performance, technology resilience, organizational capability, and strategic platform evolution. Ensure enterprise platforms meet organizational expectations for availability, scalability, security, resiliency, regulatory compliance, observability, cost effectiveness, and operational supportability. Establish enterprise service-level objectives, operational performance standards, recovery expectations, and continuous improvement practices across platform and engineering services. Engineering Organization Leadership & Span of Control Direct multiple engineering managers and cross-functional engineering teams responsible for