Senior Business Analyst, AI Studio - Operation & Manufacturing Domain

Amgen

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Employment
Full-time
Posted
10 days ago
Freshness
Confirmed live yesterday

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How this pay compares to similar roles

Similar $183k
$123k $234k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $143,112–$223,200.

Based on 240 similar postings.

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About Amgen

Amgen is a leading biotechnology company that discovers, develops, manufactures, and delivers innovative human therapeutics, with products addressing conditions such as anemia, bone loss, inflammation, and cancer. Industry: Biotechnology & Pharmaceuticals

Amgen currently has 66 open roles on FindRole.

Listed pay typically runs $156,190–$211,315 across 45 roles with salary data.

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TL;DR · Senior Business Analyst, AI Studio - Operation & Manufacturing Domain

JOB TITLE: Senior Business Analyst, AI Studio - Operation & Manufacturing Domain The Senior Business Analyst, AI Studio - Operation & Manufacturing Domain joins the AI & Data Science organization to support the Applied AI & Automation portfolio. This pre-delivery business architecture role focuses on shaping business demand before technical design by partnering with stakeholders to clarify opportunities and define business value. You will lead discovery activities, document current and future-state processes using SIPOC diagrams and value stream maps, and translate ambiguous requests into structured opportunity statements. Key responsibilities include supporting business cases, identifying process inefficiencies, and preparing opportunities for technical review. You will utilize tools like ChatGPT, UiPath, Celonis, and Power Platform to accelerate documentation. The role solves complex business problems within regulated life sciences environments, specifically addressing process development, quality, manufacturing, and supply chain workflows.

What you'll do

  • Lead business discovery activities to identify AI, automation, and digital workflow opportunities across the enterprise.
  • Translate ambiguous business requests into structured opportunity statements including problem definitions, value drivers, and success measures.
  • Document current-state and future-state business processes using methods like SIPOC, value stream maps, and journey maps.
  • Partner with stakeholders to define expected value drivers such as productivity, cost avoidance, and customer experience.
  • Support the development of business cases by documenting value assumptions, expected adoption, and measurable outcomes.
  • Prepare opportunities for Technical Review by documenting scope, data sources, security needs, and stakeholder dependencies.
  • Create leadership-ready summaries explaining business problems, recommendations, risks, and tradeoffs for portfolio decision-making.
  • Use approved AI tools to accelerate discovery, summarize stakeholder input, and improve documentation quality.

What we're looking for

  • Must possess a Doctorate degree, or a Master’s with 2 years of experience, or a Bachelor’s with 4 years of experience, or an Associate’s with 8 years of experience, or a high school diploma with 10 years of experience in Computer Science, IT, or a related field.
  • Must have demonstrated experience working within regulated life sciences environments, including familiarity with GxP, 21 CFR Part 11, and computer system validation.
  • Must have working domain knowledge of pharmaceutical or life sciences business processes, preferably in Process Development, Quality, Manufacturing, or Supply Chain.
  • Must possess strong business architecture, business analysis, and problem-framing skills.
  • Must have experience leading discovery activities with business stakeholders and translating ambiguous needs into structured, decision-ready opportunities.
  • Must have strong process documentation skills, including current-state and future-state process mapping.
  • Must have the ability to use approved AI tools to improve discovery outputs, summarize information, and structure documentation.
  • Professional certifications such as Business Architecture, Lean Six Sigma, CBAP, CCBA, ECBA, SAFe, BPM, or Product Management are preferred.

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