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AstraZenecaVerified from AstraZeneca's careers page · Eightfold

Senior Business Analyst - Operations IT

  • Frederick, Maryland, USA
  • On-site
  • 10+ Years
  • Posted Oct 19, 2026

At a glance

Senior Business Analyst - Operations IT at AstraZeneca, an on-site role based in Frederick, Maryland, USA. Experience level: 10+ Years. Posted on 19 October 2026, read from AstraZeneca's own careers page (Eightfold), which RealAnalystJobs re-checks daily and removes the role when it closes.

About this role

Introduction to the Role Are you ready to turn complex manufacturing operations into simple, digital experiences that safeguard quality and accelerate medicines to patients? Join AstraZeneca in Frederick, Maryland, where you will partner with manufacturing, quality, supply chain, engineering, facilities, technical operations, and IT teams to solve real operational challenges through robust, scalable technology. This hybrid role is based at our Frederick Manufacturing Center and requires working on-site an average of at least four days per week. Occasional domestic and international travel may also be required. This is a hands-on opportunity for a curious problem solver who thrives in the details of processes, systems, data, and integrations. You will shape solutions alongside technical teams and suppliers, investigate and resolve issues, support testing and deployment activities, and ensure technology delivers measurable value in a regulated, safety-first environment. Can you seamlessly move from process maps to system logs to help unblock production, improve reliability, and enable operational excellence? Accountabilities Business Partnering & Prioritisation • Engage site and global stakeholders to understand priorities, challenges, and business needs. • Translate business requirements into a clear, outcomes-focused technology roadmap that improves safety, reliability, and efficiency across biologics manufacturing operations. Process & Requirements Design • Lead workshops and design sessions to document current and future-state processes. • Produce high-quality requirements, user stories, acceptance criteria, and delivery artefacts that support successful implementation. Solution Shaping & Option Assessment • Partner with Product Owners, Solution Architects, IT Support teams, and external suppliers to evaluate solution options. • Recommend solutions that are scalable, practical, supportable, and aligned with enterprise standards. Operational Insight & Issue Resolution • Develop a detailed understanding of systems, integrations, data flows, and operational controls. • Investigate incidents, perform root-cause analysis, and drive timely resolution to protect manufacturing operations. End-to-End Delivery Excellence • Contribute across the full delivery lifecycle, including solution design, test planning, user acceptance testing (UAT), defect triage, deployment readiness, and hypercare support. • Ensure consideration of GxP requirements, data integrity, cybersecurity, validation, and quality expectations throughout delivery. Continuous Improvement & Value Realisation • Measure business outcomes and technology performance. • Capture lessons learned and continuously improve solutions to drive adoption and maximize long-term value. Essential Skills & Experience Experience • Bachelor's degree • 10+ years of experience in business analysis, IT delivery, digital transformation, or manufacturing technology within a complex operational environment. Business Analysis • Strong expertise in requirements elicitation, process mapping, stakeholder management, problem-solving, prioritisation, and workshop facilitation. Technical & Systems Understanding • Experience working with complex, integrated IT systems. • Strong understanding of how systems, data, integrations, and business processes interact to support operations. Hands-On Delivery • Experience collaborating directly with architects, developers, engineers, data specialists, IT support teams, and technology suppliers to shape solutions, resolve issues, and deliver practical outcomes. Delivery Lifecycle • Experience supporting technology delivery using Agile, Waterfall, or hybrid methodologies. • Demonstrated experience in requirements refinement, testing support, UAT, defect management, and deployment readiness activities. Regulated Environment • Experience working within regulated industries, with knowledge of quality, compliance, GxP, data integrity, cybersecurity, and validation or assurance requirements. Stakeholder & Supplier Management • Excellent communication, influencing, and relationship-management skills. • Experience engaging business users, technical specialists, senior stakeholders, and external vendors or system integrators. Global Collaboration • Proven ability to work effectively in a global, matrixed, and fast-paced environment. AI & Digital Literacy • Understanding of how data, automation, analytics, and artificial intelligence, including generative AI, can support business and manufacturing processes. • Ability to identify use cases, define requirements, assess risks, and measure value from digital and AI-enabled solutions. Desirable Skills & Experience • Experience within pharmaceutical, biotechnology, medical device, or other regulated manufacturing industries. • Understanding of biologics manufacturing, quality, laboratory, engineering, warehouse, supply chain, or technical operations processes. • Experience with manufacturing and enterprise platforms, including: • Manufacturing Execution Systems (MES) • Electronic Batch Records (EBR) • Laboratory Information Management Systems (LIMS) • Enterprise Resource Planning (ERP) • Digital Quality Management Systems • CMMS/EAM platforms • Manufacturing data historians • Analytics platforms • Knowledge of system integrations, APIs, data flows, reporting, dashboards, and operational analytics. • Lean, Six Sigma, process excellence, or continuous-improvement experience. • Formal business analysis certification such as IIBA, BCS, or PMI-PBA. • Experience supporting the design, delivery, adoption, or scaling of: • Artificial Intelligence (AI) • Generative AI • Advanced analytics • Intelligent automation • Digital assistant capabilities • Understanding of responsible AI principles, including data quality, privacy, cybersecurity, human oversight, validation, and change management within regulated environments. Why AstraZeneca? At AstraZeneca, technolo

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