Senior Business Analyst - Operations IT

AstraZeneca•Frederick, MD

1d•$124,320 - $186,480•Hybrid

About The Position

The Senior Business Analyst – Operations IT partners with manufacturing, quality, supply chain, engineering, facilities, technical operations, and IT teams to address operational challenges through robust, scalable technology. Based at AstraZeneca’s Frederick Manufacturing Center, this hands-on role shapes technology solutions, investigates and resolves issues, supports testing and deployment, and ensures technology delivers measurable value in a regulated, safety-first environment. The hybrid role requires working on-site an average of at least four days per week; occasional domestic and international travel may be required. The role translates business needs into technology roadmaps, leads process and requirements design, assesses solution options with technical teams and suppliers, and contributes across the delivery lifecycle—from design and testing through deployment and hypercare. It also supports operational reliability and continuous improvement while ensuring consideration of GxP requirements, data integrity, cybersecurity, validation, and quality expectations. The annual base pay ranges from $124,320 to $186,480. The position is eligible for various incentives, including short-term incentive bonuses and equity-based awards for salaried roles. Benefits include qualified retirement programs, paid time off (including vacation, holidays, and leaves), and health, dental, and vision coverage under applicable plan terms.

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 and 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 to shape solutions, resolve issues, and deliver practical outcomes.
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.

Nice To Haves

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, 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 artificial intelligence, generative AI, advanced analytics, intelligent automation, or digital assistant capabilities.
Understanding of responsible AI principles, including data quality, privacy, cybersecurity, human oversight, validation, and change management within regulated environments.

Responsibilities

Engage site and global stakeholders to understand priorities, challenges, and business needs.
Translate business requirements into an 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 requirements, user stories, acceptance criteria, and delivery artefacts that support implementation.
Partner with Product Owners, Solution Architects, IT Support teams, and external suppliers to evaluate solution options and recommend scalable, practical, supportable solutions aligned with enterprise standards.
Develop an understanding of systems, integrations, data flows, and operational controls.
Investigate incidents, perform root-cause analysis, and drive timely resolution to protect manufacturing operations.
Contribute to solution design, test planning, user acceptance testing, defect triage, deployment readiness, and hypercare support.
Ensure delivery considers GxP requirements, data integrity, cybersecurity, validation, and quality expectations.
Measure business outcomes and technology performance, capture lessons learned, and continuously improve solutions to drive adoption and long-term value.