Director of Supply Chain Data Solutions

November 7

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Ciena

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Telecommunications • Hardware • Networking

Ciena is a global leader in optical and routing systems, services, and automation software. We build the world’s most adaptive networks to address ever-increasing digital demands for richer, more connected experiences for all users. For three-plus decades, we’ve brought our innate sense of humanity to our relentless pursuit of innovation.

5001 - 10000 employees

Founded 1985

📡 Telecommunications

🔧 Hardware

💰 Series C on 1995-12

📋 Description

• 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. • 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. • Collaborate with business stakeholders to translate their 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. • 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. • 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. • 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. • 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 performance goals, conduct regular performance evaluations, and identify opportunities for professional development.

🎯 Requirements

• Bachelor’s degree in Data Science, Supply Chain Management, Business Administration, or a related field; advanced degree preferred. • 10+ years of experience in data analytics, data governance, or enterprise data management, with a focus on supply chain operations. • Proven experience in delivering dashboards, analytics tools, and data solutions that drive business outcomes. • Strong knowledge of data governance frameworks, standards, and best practices. • Expertise in enterprise data management, including data modeling, integration, and synchronization across systems. • Familiarity with digital transformation initiatives within supply chain and related functions. • Proficiency in data visualization tools (e.g., Tableau, Power BI), analytics platforms, and database management systems. • Exceptional leadership and communication skills, with the ability to collaborate across diverse teams and influence stakeholders at all levels. • Strong problem-solving and critical-thinking abilities, with a focus on driving continuous improvement.

🏖️ Benefits

• medical, dental, and vision plans • participation in 401(K) (USA) & DCPP (Canada) with company matching • Employee Stock Purchase Program (ESPP) • Employee Assistance Program (EAP) • company-paid holidays • paid sick leave • vacation time