Business Systems Architect / Integration Lead at Nextpower in Fremont, CA
- Company: Nextpower
- Location: Fremont, South Bldg, California - USA
- Salary: $175K – $200K
- Job type: full time
- Workplace: onsite
- Posted: 2026-10-26
Job description
Job Description: Position Summary Nextpower is seeking a Business Systems Architect / Integration Lead to lead the integration of contract manufacturing partners with our enterprise systems and data platforms. This role will own the business and systems roadmap required to make manufacturing transactions visible, reliable, and actionable across operations, supply chain, finance, quality, and analytics. The role sits at the intersection of business process, systems product management, data integration, and manufacturing operations. The successful candidate will understand how contract manufacturing processes translate into system transactions and data, then work with business stakeholders, technology teams, and external manufacturing partners to deliver scalable integrations and trusted operational insights. This is not primarily an MES implementation or shop-floor controls role. Experience with MES and factory systems is valuable, but the core requirement is the ability to own business outcomes, define product requirements, lead partner integrations, and build a governed data foundation using Microsoft Azure and Fabric. Key Responsibilities Product ownership and business process Own the product vision, roadmap, backlog, and delivery priorities for contract manufacturing systems integration and manufacturing data products. Partner with manufacturing, supply chain, procurement, quality, finance, logistics, IT, analytics, and contract manufacturing teams to understand current and future-state business processes. Translate business needs into clear product requirements, user stories, acceptance criteria, process flows, data contracts, and measurable outcomes. Define the system-of-record strategy, ownership, lifecycle, and business rules for key manufacturing transactions and master data. Identify process gaps, manual workarounds, data-quality risks, and opportunities for automation across the manufacturing value chain. Establish common processes and data standards that can scale across partners, plants, products, and regions. Contract manufacturing integration Lead the onboarding and integration of contract manufacturing partners with enterprise applications and data platforms. Define integration patterns for APIs, files, batch exchanges, event-based flows, and other partner connectivity methods. Design and document mappings for relevant business transactions, including purchase orders, production orders, material consumption, receipts, work-in-process, finished goods, inventory, quality events, test results, shipments, and exceptions. Establish reconciliation, validation, error handling, alerting, replay, and operational support processes for integrated transactions. Coordinate requirements, design, testing, cutover, hypercare, and production support across internal teams, system integrators, and partner organizations. Create partner onboarding standards, interface specifications, operating procedures, and support playbooks. Azure and Microsoft Fabric data platform Define the data architecture and product requirements for capturing, standardizing, and serving manufacturing data for operational support and analytics. Partner with data engineering and architecture teams to implement solutions using Microsoft Azure and Microsoft Fabric, including OneLake, Lakehouse, Data Warehouse, Data Factory Pipelines, Dataflows Gen2, Spark notebooks, SQL, semantic models, and Power BI. Shape a governed medallion-style data foundation that supports operational reporting, historical analysis, cross-partner comparisons, and future advanced analytics. Define manufacturing data models, business definitions, lineage, data-quality rules, retention requirements, and access controls. Enable operational dashboards and analytics for production status, material availability, inventory, yield, quality, cycle time, throughput, schedule adherence, delivery performance, and exception management. Work with analytics stakeholders to convert business questions int
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