Cisco—Data Analysis Manager- 7+ years of experience in data analytics, business intelligence, operations analytics, supply chain analytics, or related technical disciplines.

Job description

Description: Meet the Team The Global Process and Business Intelligence group is a core component of the Product Operations Central team, providing a centralized hub of multi-disciplinary expertise that strengthens the strategic and operational framework for Business Units (BUs) across the breadth of Cisco’s product portfolio. We act as a strategic partner, working with cross-functional leaders to define data quality standards and deliver business intelligence and data visualization that support product lifecycle management (PLM) strategies, improve operational efficiency, and drive innovation and transformation across New Product Introduction (NPI), sustaining, and end-to-end supply chain processes. Your Impact As a Data Analysis Manager, you will build trusted data products, BI solutions, and intelligent workflows that help BU and Product Operations leaders make faster, better decisions across the product lifecycle. Using Python, SQL, APIs, AI, automation, and modern cloud data platforms, you will turn complex product, operations, and supply chain data into insights that leaders act on. This is a hands-on technical leadership role. You will design and deliver scalable solutions, mentor engineers and analysts, establish engineering and data quality best practices, and help the team adopt AI assisted development, intelligent automation, and modern analytics. In this role, you will: - Own data quality — Define and enforce data quality standards, including accuracy, completeness, timeliness, and consistency, for product lifecycle, NPI, sustaining, and supply chain data, and make data issues visible to the owners who can fix them. - Deliver business intelligence — Design and deliver dashboards, data products, and AI-enabled solutions that give BU and Product Operations leaders a clear view of product lifecycle health, NPI readiness, sustaining performance, and end-to-end supply chain execution. - Analyze at scale. - Analyze large-scale product, engineering, operations, and supply chain datasets to find risks, bottlenecks, and opportunities to improve operational efficiency across Cisco’s product portfolio. - Automate and engineer — Build scalable data pipelines, API integrations, AI agents, and intelligent workflows that replace manual reporting with trusted, reusable, self-service insights. - Build with modern practices — Use modern software engineering practices and AI-assisted development tools to rapidly prototype, build, and improve analytical solutions while maintaining high standards for quality, security, and maintainability. - Partner with the business — Partner with BU leaders, Product Operations, engineering, program management, and supply chain teams to understand the decisions they need to make and translate them into data-driven solutions. Challenge requirements when needed to make sure every deliverable drives a clear business outcome. - Standardize globally — Standardize global processes, metric definitions, and reporting across BUs so leaders work from one consistent version of the truth. - Lead and mentor — Lead technical solution design, perform code reviews, mentor team members, and champion best practices across analytics, BI, data engineering, AI, and software development. Minimum Qualifications - Bachelor’s degree in engineering, Computer Science, Data Science, Mathematics, Statistics, Supply Chain, or a related technical discipline. - 7+ years of experience in data analytics, business intelligence, operations analytics, supply chain analytics, or related technical disciplines. - 5+ years of hands-on Python development for data engineering, analytics, automation, and software solution development. - Experience with data visualization and business intelligence platforms such as Tableau, Power BI, Looker, or similar tools. - Experience defining and implementing data quality rules, validation, and monitoring for enterprise datasets. - 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 product lifecycle, engineering, manufacturing, operations, supply chain, 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 supporting product lifecycle management (PLM), NPI, sustaining engineering, product operations, or end-to-end supply chain initiatives. - Experience with data governance, master data management, or metric standardization across multiple business units. - Demonstrated ability to mentor technical teams and establish best practices across analytics, BI, data engineering, AI, and software engineering. - Strong communication and stakeholder management skills with the ability to translate complex analytical findings into actionable business decisions for directors and executives. - 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: python development, sql, data quality management, business intelligence platforms, data visualization tools, tableau, power bi, looker, data modeling, data pipeline development, api integration, rest apis, data engineering, cloud-native solutions, docker, kubernetes, ci/cd practices, analytical techniques, supply chain analytics, operations analytics, business intelligence, mentoring engineers and analysts, stakeholder management, ai-assisted development, model context protocol, retrieval-augmented generation, snowflake, databricks, azure, aws