Drimva

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.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)