Data and Analytics Solution Architect

**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.Your Impact

We are seeking a Data & Analytics solution architect with validated expertise in B2B manufacturing engineering implementation, specializing in architecting and deploying solutions using RosettaNet standards across global supplier networks. This role partners with cross-functional teams to develop, optimize, and handle B2B data integration, reporting, analytics, and comprehensive audit processes—including the development and monitoring of audit KPIs—for sophisticated supply chain ecosystems.

**Your Impact**

**Some key highlights & responsibilities for this role**:

- Coordinate with Business Architects, engineering, and B2B stakeholders to gather detailed data, reporting, analytics, and audit requirements for manufacturing and supply chain operations.
- Design, develop, and supervise KPIs for partner audits (e.g., RosettaNet implementation rate, onboarding cycle time, data security compliance score), system performance audits (e.g., transaction processing time, uptime, error rate), partner performance audits (e.g., timely delivery, quality acceptance rate, response time), and manufacturing operations audits (e.g., production yield rate, traceability coverage, regulatory compliance).
- Conduct regular reviews and reporting of audit KPIs, identify trends, and drive continuous improvement initiatives with internal teams and global suppliers.
- 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 (Partner Interface Processes) and standards for seamless communication with global suppliers and partners.
- Translate business and technical needs into actionable specifications for B2B analytics, reporting, and audit projects.
- Perform source-to-target mapping, physical data modeling, and engineering of data pipelines, integrating data from MES, ERP, and supply chain systems using RosettaNet protocols.
- Leverage and develop data marts; compose presentation layer views for supplier teamwork, partner performance tracking, and manufacturing BI insights.
- Use business intelligence and visualization tools (e.g., AWS, Power BI, Tableau) 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.
- Contribute to the analysis, design, and development of new and ongoing B2B data integration, BI, and audit projects for manufacturing engineering.
- 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.

**Minimum Qualifications**:

- 7-10 years of Experience in implementing and integrating data and business intelligence, which includes 3-5 years specifically in the space of Supply Chain Operations, Digital Twin Implementation and Semiconductor Manufacturing
- Bachelor’s degree 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.
- Strong understanding of B2B manufacturing operations, global supplier data flows, integration standards, and audit/KPI methodologies.

**Preferred Tool Experience**:

- Proven experience architecting and implementing RosettaNet-based B2B solutions, including designing and deploying RosettaNet PIPs for manufacturing and supply chain integrati