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Tier-1 employer, metro location, and broad generalist product/analytics requirements increase competition.
Requires manufacturing and regulated-industry data expertise, limiting cross-industry transferability.
Explicit 8–13 years plus manufacturing, regulated-industry, and specific product/data skills required.
Translate manufacturing business needs into detailed product and system requirements including epics, features, user stories, and acceptance criteria.
Collaborate with SMEs, process owners, product owners, and technical teams to ensure manufacturing data and analytics solutions meet functional and compliance expectations.
Lead requirement documentation, testing scenarios, UAT support, defect tracking, and use Agile tools and practices to deliver incremental business value.
Bachelor’s or Master’s degree in Computer Science, IT, Engineering, Business, Data, or related field.
8–13 years of experience in business systems analysis, product analysis, or requirements engineering.
Proven experience working with manufacturing and technical SMEs to document complex manufacturing data and analytics requirements.
Experience with Agile and Scaled Agile (SAFe) methodologies and tools such as Jira, Confluence, or Azure DevOps.
Strong background bridging manufacturing operations and IT with ability to convert process knowledge into functional, data, and technical specifications.
Experienced in facilitating workshops and managing stakeholders to clarify complex manufacturing and data analytics requirements.
Comfortable working in global, virtual, cross-functional teams using Agile delivery, familiar with data-quality concepts, testing & validation, and possibly regulated manufacturing environments.