AstraZeneca
Senior Business Analyst - Operations IT
$124K–$186K
US - Frederick - MD · Senior · Full-time · Posted Oct 19, 2026
- Experience
- 10+ years; no alternatives stated.
- Education
- Bachelor's degree
About the job
Turns manufacturing operations needs into scalable technology solutions, supporting delivery and issue resolution in a regulated environment.
What you'll do
- Engage stakeholders and translate business needs into technology roadmaps, requirements, user stories, and acceptance criteria.
- Assess solutions with technical teams and suppliers; investigate incidents and drive root-cause resolution.
- Support delivery through testing, UAT, defect triage, deployment readiness, and hypercare while considering GxP, data integrity, cybersecurity, and validation.
What they ask for
- Bachelor's degree.
- 10+ years of experience in business analysis, IT delivery, digital transformation, or manufacturing technology within a complex operational environment.
- Experience with complex integrated IT systems and technology delivery using Agile, Waterfall, or hybrid methodologies, including testing support, UAT, defect management, and deployment readiness.
- Experience in regulated industries, with knowledge of quality, compliance, GxP, data integrity, cybersecurity, and validation or assurance requirements.
Nice to have
- Experience in pharmaceutical, biotechnology, medical device, or other regulated manufacturing industries.
- Formal business analysis certification such as IIBA, BCS, or PMI-PBA.
Pay
$124,320 to $186,480 USD base salary
Tools
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
AI focus
Understand how AI, including generative AI, can support business and manufacturing processes; identify use cases, define requirements, assess risks, and measure value. Preferred experience includes designing, delivering, adopting, or scaling AI and responsible AI practices.
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