Data Analysis Manager- 7+ years of experience in data analytics, supply chain analytics, procurement analytics, business analytics, or related technical disciplines.
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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong Cisco brand and a generalist data manager role counterbalanced by supply chain analytics specialization.
Role requires deep supply chain and procurement analytics expertise, reducing transferability across industries.
Multiple mandatory filters: 7+ years, 5+ years Python, cloud, APIs, Docker/Kubernetes, and supply-chain domain expertise.
Job Description
Structured overview of role & requirementsAbout This Role
Build and deliver scalable data products, analytical solutions, and intelligent workflows for sourcing, costing, and supplier management decisions within Cisco's global supply chain.
Lead hands-on technical development, design scalable solutions, mentor engineers and analysts, and promote best engineering practices including AI-assisted development and automation.
Partner with cross-functional teams to translate complex business challenges into data-driven, AI-enabled decision intelligence solutions.
Minimum Requirements
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 experience for data engineering, analytics, automation, and software development.
Experience with REST APIs, event-driven services, scalable cloud-native solutions (Docker, Kubernetes), and working with supply chain or related datasets.
Ideal Candidate Profile
Experienced in end-to-end data architecture, including ingestion, transformation, orchestration, deployment, and visualization using modern cloud platforms like Snowflake, Databricks, Azure, AWS, or GCP.
Skilled in AI/LLMs, agentic AI, Model Context Protocol (MCP), retrieval-augmented generation (RAG), and designing reusable data products supporting self-service decision intelligence.
Demonstrated ability to mentor technical teams and lead adoption of AI-assisted development and best practices across analytics, data engineering, AI, and software engineering.