Data and Analytics Solution Architect

**Meet the Team****

Join Cisco's cutting-edge Manufacturing Data & Analytics team, a group of innovators dedicated to transforming manufacturing operations through data-driven digital twin solutions. Our 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 leveraging advanced analytics, integration, and simulation to drive operational excellence and power Cisco's digital transformation.

**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, advanced simulations, and actionable analytics, supporting smarter, faster decision-making across operations. By defining and tracking digital twin KPIs, you will help maximize operational impact and deliver measurable business value. In this highly visible role, you will work directly with stakeholders and technical teams to ensure the success of Cisco's advanced manufacturing initiatives.

**In this role, you will:****

• 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.
• Enforce industry standards for data architecture, modeling, and process documentation.
• Evaluate, troubleshoot, and improve digital twin models and BI assets.
• Manage 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.

**Key Responsibilities****

• Gather, 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 best practices in data architecture, modeling, and process documentation.
• Manage 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 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.
• Strong 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.
• Strong communication skills and ability to work effectively in cross-functional teams.
• Demonstrated ability to translate business needs into technical solutions.
• Experience developing end-user training for analytics and digital twin platforms.

**Who You'll Work 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.