Application Deadline expected to close Oct. 17, 2025 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Meet the Team Cisco Supply Chain plays a critical role delivering profitable growth and strategic outcomes for Cisco’s customers, shareholders, and business units. Our highly engaged organization excels in a fast-paced environment, continually redefining the way we work to be one step ahead of the constantly evolving world around us. The supply chain data team sets the multi-functional data strategy and drives innovative programs that will further accelerate the adoption of artificial intelligence.

Your Impact The Director of Supply Chain Data and AI Strategy will lead a team of data scientists, analysts, program managers and data engineers that work multi-functionally across supply chain operations and enterprise IT. This is a high visibility role that will engage and influence the supply chain executive leadership team to understand the opportunities, drive alignment and execute programs to ensure our success. This leader will also foster industry and academic relationships, continually seeking to build a pipeline of talent and solutions that utilize the latest technologies.

Responsibilities The Director of Supply Chain Data and AI Strategy is both a visionary and practical leader that will rely on their expertise in supply chain operations, business architecture, data, and advanced analytics to ensure the organization's data strategy is aligned to achievable business outcomes. This leader will direct a dynamic team from strategy to execution. The data strategy leader and team will lead data governance, AI/ML use case prioritization and multi-functional resource allocation. Additionally, this leader directs the solution design, model development, and implementation of methods, processes, and systems to extract insights and intelligence from large, complex data sets. Leads the supply chain data strategy and advanced analytics center of excellence. Defines, implements, and operates data governance across supply chain. Collaborates with functional data analytics teams, driving alignment on priorities and effective resource allocation. Manages the intake, prioritization, and implementation of advanced analytics programs across the organization. Builds partnerships within and outside the organization, aligning technology needs and talent. Influences decision-making with the executive leadership team. Builds and delivers the data analytics curriculum for all the supply chain. Minimum Qualifications Minimum 12+ years related experience with at least 4 years of supervisory experience. BS and/or MS or equivalent experience in Industrial Engineering, Operations Research, Data Science, Computer Science, or a related field. Successful history of managing interdisciplinary teams and complex programs involving data. Working knowledge of data science techniques, big data, AI, and machine learning. Understand and have experience leading data governance. Preferred Qualifications Strong leadership with a talent for building and motivating teams. Maintain superb communication skills across all levels of the organization. Solve complex problems effectively with advanced analytical thinking. Manage projects proficiently, from resource allocation to execution. Stay informed about new developments in data science and technology. At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Simply put – we power the future. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.