Job
Description
Role Overview: You will be joining Cisco's modern Manufacturing Data & Analytics team, working with a group of innovators dedicated to redefining manufacturing operations through data-driven digital twin solutions. Your role will involve collaborating closely with business architects, engineers, and manufacturing leaders to deliver actionable insights, process optimization, and measurable value across global supply chain and manufacturing environments. You will be passionate about demonstrating sophisticated analytics, integration, and simulation to drive operational excellence and power Cisco's digital transformation. Key Responsibilities: - Own the design, development, and deployment of sophisticated analytics and automation solutions for B2B Manufacturing and Supply Chain Operations, leveraging technologies such as Large Language Models (LLMs), prompt engineering, LangChain, LangGraph, and Retrieval-Augmented Generation (RAG) architectures. Integrate these AI-powered workflows into existing processes to deliver robust insights and process automation. - Architect and implement secure, enterprise-grade access to AI and analytics capabilities by designing and implementing Role-Based Access Control (RBAC) across data, tools, and systems, ensuring compliance, data privacy, and appropriate authorization. - Coordinate with Business Architects, engineering, and B2B partners to capture detailed data, reporting, analytics, and audit requirements for Manufacturing and Supply Chain operations. - Design, develop, and supervise KPIs for partner audits, system performance audits, partner performance audits, and manufacturing operations audits. - Enforce industry standards and best practices for data architecture, modeling, visualization, documentation, and audit processes in a B2B and RosettaNet context. - Analyze business and engineering requirements, and build conceptual models for end-to-end B2B data integration and business intelligence solutions. - Architect, implement, and maintain B2B integration frameworks using RosettaNet PIPs for seamless communication with global suppliers and partners. - Use business intelligence and visualization tools to deliver actionable insights and audit findings from B2B transactions, supply chain, and partner ecosystem data. - Generate analytics and reports from warehouse and operational data to support decision-making, performance monitoring, and audit compliance in B2B manufacturing environments. - Evaluate, troubleshoot, and improve existing B2B data integration, BI, and audit assets for continuous improvement. - Handle full project lifecycle, including change management, testing, and production migration for B2B manufacturing analytics and audit solutions. - Support database architects and developers in building data warehousing and integration systems for B2B business intelligence, reporting, and audits. - Create and maintain comprehensive technical specification, process, and audit documentation. - Develop end-user training materials for analytics and audit tools, tailored to manufacturing partners and global suppliers. Qualifications Required: - Demonstrated ability (7-10 years) in implementing and integrating data and business intelligence, with specific experience in Supply Chain Operations, Digital Twin Implementation, and Semiconductor Manufacturing. - Bachelors degree or equivalent experience in data science, Engineering, Computer Science, or a related field; significant experience with B2B manufacturing analytics, RosettaNet solution architecture, and KPI-driven audit processes required. - Proficient in data analysis languages (Python, R, SQL) and BI/visualization platforms. - Solid understanding of B2B manufacturing operations, global supplier data flows, integration standards, and audit/KPI methodologies.,
