7 - 10 years
30 - 35 Lacs
Posted:12 hours ago|
Platform:
Work from Office
Full Time
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 multi-functional teams to develop, optimize, and handle B2B data integration, reporting, analytics, and comprehensive audit processesincluding the development and monitoring of audit KPIsfor sophisticated supply chain ecosystems.Responsibilities
* Own the design, development, and deployment of sophisticated analytics and automation solutions for B2B Manufacturing and Supply Chain Operations, leveraging Large Language Models (LLMs), prompt engineering, LangChain, LangGraph, and Retrieval-Augmented Generation (RAG) architectures. Integrate these AI-powered and Agentic workflows into existing processes to deliver robust, context-aware insights, document-grounded responses, and dynamic 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 Agentic systems, ensuring compliance, data privacy, and appropriate authorization for all users.
* 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 (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 partnership, 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.
* Supply 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.
* Demonstrated ability (7-10 years) 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
* 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.
* Demonstrable experience architecting and implementing RosettaNet-based B2B solutions, including designing and deploying RosettaNet PIPs for manufacturing and supply chain integration.
* Familiarity with MES, ERP, AWS, Power BI, Tableau, SQL, and other standard BI and audit tools.
* Good interpersonal skills and the ability to work with multi-functional teams and external global suppliers are meaningful.
* Experience in designing, architecting, and implementing B2B solutions using RosettaNet standards, and in defining, monitoring, and reporting on audit KPIs, is highly valued.
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