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Senior Business Analyst - Operations IT

AstraZeneca

Frederick, MDHybridPosted 12 days ago$124,320 - $186,480/year
Full TimeSenior LevelTech & Data (Health IT)Pharmaceutical
Original posting ↗

Summary

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 the Frederick Manufacturing Center and requires working on-site an average of at least four days per week.

Job description

Accountabilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Measure business outcomes and technology performance.
  • Capture lessons learned and continuously improve solutions to drive adoption and maximize long-term value.

Essential Skills & Experience

  • Bachelor's degree
  • 10+ years of experience in business analysis, IT delivery, digital transformation, or manufacturing technology within a complex operational environment
  • Strong expertise in requirements elicitation, process mapping, stakeholder management, problem-solving, prioritisation, and workshop facilitation
  • Experience working with complex, integrated IT systems
  • Strong understanding of how systems, data, integrations, and business processes interact to support operations
  • Experience collaborating directly with architects, developers, engineers, data specialists, IT support teams, and technology suppliers
  • Experience supporting technology delivery using Agile, Waterfall, or hybrid methodologies
  • Demonstrated experience in requirements refinement, testing support, UAT, defect management, and deployment readiness activities
  • Experience working within regulated industries, with knowledge of quality, compliance, GxP, data integrity, cybersecurity, and validation or assurance requirements
  • Excellent communication, influencing, and relationship-management skills
  • Experience engaging business users, technical specialists, senior stakeholders, and external vendors or system integrators
  • Proven ability to work effectively in a global, matrixed, and fast-paced environment
  • 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 MES, EBR, LIMS, ERP, Digital Quality Management Systems, CMMS/EAM platforms, manufacturing data historians, and 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 AI, generative AI, advanced analytics, intelligent automation, and digital assistant capabilities
  • Understanding of responsible AI principles, including data quality, privacy, cybersecurity, human oversight, validation, and change management within regulated environments

Requirements

  • Bachelor's degree
  • 10+ years of experience in business analysis, IT delivery, digital transformation, or manufacturing technology within a complex operational environment
  • Strong expertise in requirements elicitation, process mapping, stakeholder management, problem-solving, prioritisation, and workshop facilitation
  • Experience working with complex, integrated IT systems
  • Strong understanding of how systems, data, integrations, and business processes interact to support operations
  • Experience collaborating directly with architects, developers, engineers, data specialists, IT support teams, and technology suppliers
  • Experience supporting technology delivery using Agile, Waterfall, or hybrid methodologies
  • Demonstrated experience in requirements refinement, testing support, UAT, defect management, and deployment readiness activities
  • Experience working within regulated industries, with knowledge of quality, compliance, GxP, data integrity, cybersecurity, and validation or assurance requirements
  • Excellent communication, influencing, and relationship-management skills
  • Experience engaging business users, technical specialists, senior stakeholders, and external vendors or system integrators
  • Proven ability to work effectively in a global, matrixed, and fast-paced environment
  • 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

Benefits

  • Health insurance
  • Dental coverage
  • Vision coverage
  • Retirement programs
  • Paid time off
  • Short-term incentive bonuses
  • Equity-based awards

Company overview

AstraZeneca is a global, science-led, patient-focused pharmaceutical company dedicated to accelerating the delivery of life-changing medicines that create enduring value for patients, society, and shareholders. With a workforce of over 94,300 employees worldwide, the company operates across three core therapy areas: Oncology, BioPharmaceuticals (including Cardiovascular, Renal & Metabolism, Respiratory & Immunology), and Rare Disease. Headquartered in Cambridge, UK, AstraZeneca maintains strategic R&D centers in Cambridge, Gaithersburg (US), Boston (US), Gothenburg (Sweden), Shanghai, and Beijing. The company generated $54.1 billion in total revenue in 2024 and invested $13.6 billion in scientific research and development. AstraZeneca's bold aspiration is to be pioneers in science, lead in disease areas, and transform patient outcomes, with a goal to launch 20 new medicines and achieve $80 billion in total revenue by 2030. The company is recognized for its commitment to sustainability, health equity, and creating an inclusive work environment where diverse perspectives drive innovation.

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