Data and Analytics Solution Architect

Job Description Meet the Team Join Cisco's modern Manufacturing Data & Analytics team, a group of innovators dedicated to transforming manufacturing operations through data-driven digital twin solutions. This team collaborates closely with business architects, engineers, and manufacturing leaders to deliver actionable insights, process optimization, and measurable value across global supply chain and manufacturing environments. We are passionate about demonstrating sophisticated analytics, integration, and simulation to drive operational perfection and power Cisco's digital transformation. You will be working with - - Internal Teams -Business architects, manufacturing engineers, supply chain operations, database architects, and analytics developers. - Stakeholders - Manufacturing leaders, process owners, IT, and data governance teams. - External Partners -Technology vendors (digital twin and analytics platforms), solution integrators. Your Impact As a Data & Analytics Solution Architect, you will lead the architecture and implementation of digital twin solutions in manufacturing. Your work will enable real-time data integration, sophisticated simulations, and actionable analytics, supporting smarter, faster decision-making across operations. By defining and supervising digital twin KPIs, you will help improve operational impact and deliver measurable business value. In this highly transparent role, you will work directly with partners and technical teams to ensure the success of Cisco's advanced manufacturing initiatives. Responsibilities - Coordinate with business architects and stakeholders to gather requirements for data, reporting, analytics, and digital twin solutions. - Analyze business needs and design conceptual models for end-to-end BI and digital twin implementations. - Translate requirements into technical specifications for digital twin and analytics initiatives. - Engineer data pipelines and models integrating sensor, MES, and IoT data from manufacturing operations. - Develop and maintain data marts and presentation views for digital twin outputs and business intelligence. - Leverage business intelligence and visualization tools (Power BI, Tableau) to deliver insights from digital twin simulations. - Generate analytics and reports to support operational decision-making and performance monitoring. - Define, develop, and monitor digital twin KPIs (e.g., model accuracy, anomaly detection, downtime reduction, yield improvement, simulation cycle time, decision support utilization, integration coverage, cost savings, alert response time, and user adoption). - Conduct reviews of digital twin KPIs, identify trends, and drive continuous improvement. - Implement industry standards for data architecture, modeling, and process documentation. - Evaluate, troubleshoot, and improve digital twin models and BI assets. - Lead the full development lifecycle, including change management and production migration. - Support database architects and developers in building real-time and historical manufacturing analytics systems. - Create and maintain technical specification documentation and end-user training materials. - Capture, analyze, and document business and technical requirements for digital twin and BI solutions. - Design and implement data integration, modeling, and presentation layers for manufacturing analytics. - Develop actionable analytics and performance reports for semiconductor manufacturing. - Define and track digital twin KPIs, driving operational improvement and value measurement. - Ensure standard methodologies in data architecture, modeling, and process documentation. - Lead solution lifecycle, including testing, deployment, and ongoing enhancement. - Deliver training and support for analytics tools and digital twin platforms. Minimum Qualifications - 7-10 years of experience in data and business intelligence implementation, with 3-5 years focused on Supply Chain Operations, Digital Twin Implementation, or Manufacturing. - Bachelor's degree or equivalent experience in Data Science, Computer Science, Engineering, or related field. - Proficiency in data analysis languages (Python, R, SQL) and visualization platforms (Power BI, Tableau). - Experience with digital twin tools and concepts in a manufacturing environment. - Demonstrable understanding of semiconductor manufacturing process flows and equipment data. Preferred Qualifications - Experience with Siemens Digital Industries (Tecnomatix, MindSphere), PTC ThingWorx, Dassault Systmes 3DEXPERIENCE, or Ansys Twin Builder. - Experience developing and optimizing digital twin models in manufacturing. - Good interpersonal skills and ability to work effectively in multi-functional teams. - Demonstrated ability to translate business needs into technical solutions. - Experience developing end-user training for analytics and digital twin platforms. 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.