
10,000+ employees
Founded 1956
🏥 Healthcare
📦 Logistics
🏭 Manufacturing
Healthcare • Logistics • Manufacturing
Thermo Fisher Scientific is the world leader in serving science, with annual revenue of more than $40 billion. Their mission is to enable customers to make the world healthier, cleaner, and safer by supporting life sciences research, solving complex analytical challenges, increasing laboratory productivity, and improving patient health through diagnostics and the development of life-changing therapies. With a global team, they offer innovative technologies and pharmaceutical services through brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD.
🔥 1 minute ago
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10,000+ employees
Founded 1956
🏥 Healthcare
📦 Logistics
🏭 Manufacturing
Healthcare • Logistics • Manufacturing
Thermo Fisher Scientific is the world leader in serving science, with annual revenue of more than $40 billion. Their mission is to enable customers to make the world healthier, cleaner, and safer by supporting life sciences research, solving complex analytical challenges, increasing laboratory productivity, and improving patient health through diagnostics and the development of life-changing therapies. With a global team, they offer innovative technologies and pharmaceutical services through brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD.
• Lead business requirements, gap assessment, validation, and readiness activities for transitioning legacy data and analytics to modern enterprise capabilities • Elicit and document business and data requirements, business rules, and acceptance criteria for enterprise data model adoption • Partner with data engineering, analytics, and business teams to assess model fit and define required extensions • Identify and shape opportunities to improve supply chain processes through data, analytics, AI, automation, and digital workflows • Lead discovery and future-state design sessions with planners, buyers, supply chain leaders, process owners, and stakeholders • Develop value hypotheses, business cases, success measures, and adoption expectations • Translate prioritized opportunities into use cases, requirements, process flows, user stories, business rules, acceptance criteria, and measurable outcomes • Serve as the primary business-analysis interface across business, product, engineering, analytics, data, AI, automation, and user experience teams • Maintain continuity from discovery through design, build, validation, deployment, and post-release support • Lead requirements clarification, backlog refinement, solution walkthroughs, and functional decision-making • Validate delivered functionality and drive functional defect resolution before business UAT • Define UAT scope, scenarios, entry criteria, and readiness; coordinate business testers • Assess release readiness across requirements, defects, process impacts, documentation, user readiness, and operational dependencies • Coordinate adoption activities including pilots, training, communications, office hours, and feedback mechanisms • Define and track adoption and business-impact measures • Monitor post-release performance, feedback, defects, and enhancement demand and recommend improvements • Ensure delivered solutions are usable, supportable, governed, and aligned with business outcomes and enterprise standards
• Seven or more years of experience in business analysis, product management, digital transformation, supply chain systems, or a related discipline • Strong understanding of supply chain processes such as SIOP, demand planning, inventory management, replenishment, procurement, and service performance • Demonstrated experience leading business analysis across the solution lifecycle, including discovery, process design, requirements definition, acceptance criteria, solution validation, UAT, and release readiness • Proven ability to identify, shape, and translate business opportunities into scalable data, analytics, AI, automation, or digital solutions that improve business processes and outcomes • Experience modernizing data, analytics, or business processes within complex enterprise environments, including working across multiple systems, business units, or operating models • Working knowledge of enterprise data, analytics, AI, automation, and ERP or supply chain technologies • Experience in platforms such as SAP, JDE E1, Oracle, Syspro, Databricks, AWS, or Microsoft Power BI preferred • Experience applying product discovery, process improvement, design thinking, process mining, user-centered design, or similar methods • Strong facilitation, communication, problem-solving, and stakeholder-management skills • Demonstrated ability to drive decisions and influence across business and technical teams without direct authority
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