The application window is expected to close on: 10/02/2026

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.


Meet the Team

The Supply Chain Transformation team is driving Cisco's digital evolution across Costing, Strategic Sourcing, and Supplier Management. We partner with business, engineering, finance, supply chain, and suppliers to modernize decision-making through AI, automation, advanced analytics, and scalable data products. Our mission is to improve cost competitiveness, strengthen supplier performance, and enable faster, smarter sourcing decisions by combining deep supply chain expertise with modern data, AI, and decision intelligence.

Your Impact

• As a Data Analysis Manager, you will build data products, analytical solutions, and intelligent workflows that shape sourcing, costing, and supplier management decisions across Cisco's global supply chain. Leveraging Python, APIs, AI, automation, and modern cloud data platforms, you will transform complex data into actionable insights that improve operational and financial outcomes.

• This is a hands-on technical leadership role. You will design and deliver scalable solutions, mentor engineers and analysts, establish engineering best practices, and help accelerate the team's adoption of AI-assisted development, intelligent automation, and modern analytics.

• Design and deliver data products, analytics, automation, and AI-enabled solutions that support costing, strategic sourcing, supplier management, and procurement transformation.

• Analyze large-scale supply chain, supplier, pricing, spend, manufacturing, and engineering data to identify opportunities for cost optimization, operational efficiency, and risk mitigation.

• Build scalable data pipelines, API integrations, AI agents, and intelligent workflows that provide trusted, reusable, and self-service business insights.

• Leverage modern software engineering practices and AI-assisted development tools to rapidly prototype, build, and enhance analytical solutions while maintaining high standards for quality, security, and maintainability.

• Partner with sourcing, supplier management, finance, engineering, and business leaders to translate complex business challenges into scalable, data-driven solutions and decision intelligence.

• Lead technical solution design, perform code reviews, mentor team members, and champion best practices across analytics, data engineering, AI, and software development.

Minimum Qualifications

• Bachelor's degree in supply chain, Engineering, Computer Science, Data Science, Mathematics, Statistics, or a related technical discipline.
• 7+ years of experience in data analytics, supply chain analytics, procurement analytics, business analytics, or related technical disciplines.
• 5+ years of hands-on Python development for data engineering, analytics, automation, and software solution development.
• Experience developing and integrating REST APIs, event-driven services, and enterprise data solutions.
• Strong understanding of data modeling, business logic, and analytical techniques for structured, semi-structured, and unstructured data.
• Experience building scalable cloud-native solutions using containerization technologies such as Docker and Kubernetes, with knowledge of modern deployment frameworks and CI/CD practices.
• Experience working with supply chain, sourcing, procurement, costing, supplier, manufacturing, engineering, or financial datasets.

Preferred Qualifications

• Experience with AI/LLMs, agentic AI, Model Context Protocol (MCP), retrieval-augmented generation (RAG), or AI-enabled enterprise applications.
• Strong understanding of end-to-end data architecture, including data ingestion, curation, transformation, orchestration, deployment, and visualization.
• Experience with modern cloud data platforms and data engineering ecosystems such as Snowflake, Databricks, Azure, AWS, or GCP.
• Experience with data visualization and business intelligence platforms such as Tableau, Power BI, Looker, or similar tools.
• Experience supporting strategic sourcing, supplier performance, should-cost modeling, supplier risk management, or procurement transformation initiatives.
• Demonstrated ability to mentor technical teams and establish best practices across analytics, data engineering, AI, and software engineering.
• Strong communication and stakeholder management skills with the ability to translate complex analytical findings into actionable business decisions.
• Experience designing and delivering reusable data products, semantic data models, or enterprise analytics platforms that enable self-service decision intelligence across business functions.
• Experience using AI coding assistants (e.g., GitHub Copilot, Cursor, Claude Code, or similar)

Why Cisco?

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.

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.

We are Cisco, and our power starts with you.

Disclaimer

To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:

• be in direct response to an application you have submitted through the company career site
• begin with screening or an interview
• originate from a Cisco email address, and
• be conducted across email, phone, or WebEx

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