Data Analysis Manager- 7+ years of experience in data analytics, supply chain analytics, procurement analytics, business analytics, or related technical disciplines.
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
Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport.
If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams.
Skills Required
- Bachelor's degree in supply chain, engineering, computer science, data science, mathematics, statistics, or a related technical discipline
- 7 or more years of experience in data analytics, supply chain analytics, procurement analytics, business analytics, or related technical disciplines
- 5 or more 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 with Docker, Kubernetes, modern deployment frameworks, and CI/CD practices
- Experience working with supply chain, sourcing, procurement, costing, supplier, manufacturing, engineering, or financial datasets
- Experience with AI/LLMs, agentic AI, Model Context Protocol, retrieval-augmented generation, or AI-enabled enterprise applications
- Understanding of end-to-end data architecture, including ingestion, curation, transformation, orchestration, deployment, and visualization
- Experience with modern cloud data platforms such as Snowflake, Databricks, Azure, AWS, or GCP
- Experience with data visualization and business intelligence platforms such as Tableau, Power BI, or Looker
- Experience supporting strategic sourcing, supplier performance, should-cost modeling, supplier risk management, or procurement transformation
- Ability to mentor technical teams and establish best practices across analytics, data engineering, AI, and software engineering
- Strong communication and stakeholder management skills
- Experience designing reusable data products, semantic data models, or enterprise analytics platforms
- Experience using AI coding assistants such as GitHub Copilot, Cursor, or Claude Code
Cisco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.
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Healthcare Strength — Health coverage is described as broad, with medical options including PPOs, high-deductible plans, and regional HMOs. Feedback suggests robust wellness and mental-health resources, with some locations offering on-site support and second medical opinions.
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Leave & Time Off Breadth — Time off is highlighted through paid holidays, paid time off, and additional recharge days such as “Days for Me,” with generous volunteer time also mentioned. Feedback suggests these programs help support rest, volunteering, and critical life events.
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Parental & Family Support — Parental and family support appears extensive, including paid child-bonding leave, family medical leave, and caregiving resources. Observations also point to family-planning assistance and adoption or surrogacy support in some regions.
Cisco Insights
What We Do
Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.
