Director of Supply Chain Data Solutions

Ciena, Belfast, Northern Ireland, United Kingdom

As the global leader in high‑speed connectivity, Ciena is committed to a people‑first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well‑being, and belonging.

• Business Enablement
  • Develop and deliver dashboards, analytics tools, and reporting frameworks that provide actionable insights to support informed decision‑making across the Supply Chain organization.
  • Partner with cross‑functional teams to identify key performance indicators (KPIs) and metrics critical to driving operational excellence.
  • Enable business leaders to access real‑time data and analytics to improve forecasting, inventory management, and overall supply chain performance.
  • Drive the adoption of self‑service analytics tools and platforms to empower teams with data‑driven decision‑making capabilities.
  • Proactively monitor supply chain performance metrics, analyze trends, and present actionable insights to senior management.
  • Stay abreast of emerging technologies and industry trends related to supply chain data management, and recommend innovative solutions.
• Data Architecture
  • Develop and maintain a robust and scalable data architecture that supports the end‑to‑end supply chain process.
  • Collaborate with cross‑functional teams to define data integration points and ensure data flows seamlessly across systems.
  • In collaboration with IT, oversee the design and implementation of data models, data warehouses, and data pipelines to support data analytics and reporting.
  • Translate business stakeholder needs into scalable and efficient data solutions that support digital transformation initiatives.
  • Design and implement robust data architectures that enable seamless integration across systems and applications while ensuring scalability and efficiency.
  • Partner with IT and project teams to deliver data solutions aligned with transformation outcomes, including automation, advanced analytics, and AI‑driven insights.
  • Act as a strategic advisor for digital projects, ensuring data requirements are met while driving innovation and efficiency.
• Data Governance
  • Establish and enforce data governance standards, policies, and procedures to ensure data quality, consistency, and accuracy across the organization.
  • Lead efforts to improve master data quality and manage data hierarchies, taxonomies, and definitions for key supply chain data elements.
  • Facilitate cross‑functional alignment and collaboration to ensure data is structured, organized, accessible, and leveraged effectively.
  • Monitor and maintain compliance with regulatory requirements and industry standards related to data management.
• Enterprise Data Management
  • Ensure the integrity, consistency, and accessibility of critical data across Supply Chain, Sales Enablement, and Finance/Accounting organizations.
  • Develop and maintain enterprise‑wide data models, ensuring alignment with organizational goals and objectives.
  • Implement processes and tools to streamline data integration and synchronization across systems and departments.
  • Lead efforts to identify and resolve data discrepancies, ensuring a single source of truth for enterprise data.
• AI Strategy and Roadmap
  • In partnership with the Senior Director Digital Transformation, develop and communicate a comprehensive AI strategy aligned with the company's supply chain objectives and long‑term business goals.
  • Identify AI opportunities and use cases that can enhance supply chain efficiency.
  • Drive the deployment of AI‑powered tools to support decision‑making, process automation, and data‑driven insights.
  • Create a roadmap for the successful implementation of AI solutions, considering scalability, feasibility, and ROI.
  • Stay abreast of the latest advancements in AI and machine learning technologies, and assess their potential impact on supply chain operations.
• Team Leadership
  • Provide strategic direction and mentorship to the data services team, fostering a culture of collaboration, continuous learning, and excellence.
  • Identify talent gaps and implement strategies to attract, retain, and develop top talent.
  • Set clear…