Director, Enterprise Data & Integration

Reporting to the Chief Digital and Information Officer (CDIO), the Director, Enterprise Data & Integration is responsible for establishing and maturing the organization's enterprise data capability. This includes developing the enterprise data strategy, architecture, governance framework, integration standards, and technology roadmap required to support operational excellence, analytics, reporting, artificial intelligence, and digital transformation. The Director will help build and lead a small Data Engineering team and work across business and technology functions to transform fragmented, project-based data initiatives into a scalable, governed, and sustainable enterprise capability. This role is accountable for ensuring enterprise data is managed, integrated, and leveraged as a strategic asset across the organization. Key Responsibilities Enterprise Data Strategy & Capability Development Develop and maintain the enterprise data strategy, roadmap, operating model, and target-state architecture aligned with business priorities. Establish and mature enterprise data capabilities spanning architecture, governance, integration, engineering standards, and information management practices. Partner with business and technology leaders to enable data-driven decision-making, analytics, automation, and AI readiness. Data Architecture, Governance & Integration Define and govern enterprise data architecture, integration architecture, information management standards, and reference models. Establish scalable approaches for APIs, MuleSoft integration services, event-driven architecture, data pipelines, metadata, lineage, master/reference data, and data quality. Ensure enterprise data solutions are secure, compliant, resilient, and aligned with enterprise architecture principles. Platforms, Technology & Innovation Provide strategic leadership for enterprise data platforms, integration technologies, analytics environments, and AI-enabling capabilities. Evaluate technologies, vendors, and strategic investments to ensure alignment with business objectives, architecture standards, and long-term sustainability. Drive modernization, simplification, and standardization across the enterprise data and integration landscape.  Leadership & Delivery Enablement Provide technical leadership, mentorship, and direction to the Data Engineering team while fostering strong engineering and operational practices. Support the planning, prioritization, and successful delivery of enterprise data and integration initiatives. Build strong partnerships across business units, cybersecurity, infrastructure, applications, enterprise architecture, and external partners. Governance & Continuous Improvement Establish governance processes, architecture reviews, standards, and decision-making frameworks for enterprise data and integration solutions. Identify and reduce technical debt, platform fragmentation, unmanaged data movement, and point-to-point integrations. …