Senior Business Analyst, AI Studio - Operation & Manufacturing Domain

Amgen•Jacksonville, FL
•$120,677 - $163,269

About The Position

This role is a pre-delivery business architecture position within Amgen's AI & Data Science organization, specifically in the AI Studio team. The AI Studio is responsible for developing scalable AI products to address high-value business challenges. The Business Architect will partner with business stakeholders, product teams, solution partners, and delivery architects to identify opportunities, define business value, document processes, and prepare demand for prioritization and technical review. The primary focus is on shaping business demand before technical design and delivery, ensuring AI and automation investments are linked to measurable business outcomes. The role is critical for improving portfolio quality, strengthening prioritization, and supporting value-driven delivery by ensuring opportunities are clear, complete, and value-aligned before they move into technical review and delivery planning.

Requirements

  • Doctorate degree
  • OR Master’s degree and 2 years of Computer Science, IT or related field
  • OR Bachelor’s degree and 4 years of Computer Science, IT or related field
  • OR Associate’s degree and 8 years of Computer Science, IT or related field
  • OR High school diploma / GED and 10 years of Computer Science, IT or related field
  • Demonstrated experience working within regulated life sciences environments, including familiarity with GxP, 21 CFR Part 11, computer system validation (CSV), quality systems, and/or related compliance requirements.
  • Working domain knowledge of pharmaceutical or life sciences business processes, preferably in Process Development, Quality, Manufacturing, and/or Supply Chain.
  • Strong business architecture, business analysis, and problem-framing skills.
  • Experience leading discovery activities with business stakeholders and translating ambiguous needs into structured, decision-ready opportunities.
  • Strong understanding of demand intake, opportunity assessment, discovery, prioritization, technical review preparation, and pre-delivery planning.
  • Ability to define and document business problems, stakeholder needs, current-state processes, future-state processes, value drivers, assumptions, risks, dependencies, and expected outcomes.
  • Experience supporting business cases, value assessments, ROI estimates, benefit hypotheses, or value realization planning.
  • Strong process documentation skills, including current-state and future-state process mapping.
  • Ability to simplify complex business problems into clear opportunity statements, process flows, business narratives, and leadership-ready recommendations.
  • Strong stakeholder engagement skills, including the ability to facilitate alignment across business, product, architecture, solution, and delivery teams.
  • Ability to communicate clearly and confidently with business stakeholders, product teams, architects, delivery teams, and leadership.
  • Experience preparing executive summaries, discovery readouts, prioritization recommendations, or business-facing presentations.
  • Strong analytical thinking, structured problem-solving, and ability to validate assumptions using available data and stakeholder input.
  • Ability to use approved AI tools to improve discovery outputs, summarize information, structure documentation, draft business cases, and increase speed and quality of business architecture work.
  • Ability to operate independently in a matrixed environment with multiple stakeholders, priorities, and discovery efforts.

Nice To Haves

  • Experience with AI, automation, process intelligence, digital workflow, enterprise platforms, or transformation initiatives.
  • Familiarity with technologies such as UiPath, DocuSign, Celonis, Power Platform, WalkMe, Custom GPTs, ChatGPT, or similar AI and automation technologies.
  • Experience with value frameworks, prioritization frameworks, WSJF, portfolio governance, PI planning, or product-led operating models.
  • Familiarity with process methods and tools such as SIPOC, value stream mapping, BPMN, journey mapping, capability mapping, process capability analysis, Miro, Lucidchart, Visio, or similar tools.
  • Experience working in Agile, SAFe, Scrum, or product-led delivery environments.
  • Familiarity with Jira, Jira Align, Smartsheet, Confluence, or similar product and portfolio management platforms.
  • Experience supporting technical review, solution shaping, delivery readiness, or architecture engagement.
  • Professional certifications such as Lean Six Sigma, CBAP, CCBA, ECBA, SAFe, BPM, Business Architecture, Product Management, or related certifications.

Responsibilities

  • Lead business discovery activities for AI, automation, process, workflow, and digital opportunities across Applied AI & Automation.
  • Partner with business stakeholders, submitters, Product Managers, Solution Partners, Delivery Architects, and Delivery Leads to clarify business needs, opportunity scope, expected outcomes, and readiness for technical review.
  • Translate ambiguous business requests into structured opportunity statements, including business problem, stakeholder impact, current-state pain points, desired future state, value drivers, risks, dependencies, assumptions, and success measures.
  • Support intake triage by assessing whether requests are clear, complete, aligned to business priorities, and ready to move into discovery.
  • Capture the voice of the customer and translate stakeholder input into business architecture artifacts, including opportunity briefs, process maps, value summaries, business case inputs, decision narratives, and discovery documentation.
  • Define and document current-state and future-state business processes using fit-for-purpose methods such as process flows, SIPOC diagrams, value stream maps, journey maps, capability maps, or decision flows.
  • Identify process inefficiencies, gaps, handoffs, dependencies, risks, business rules, and opportunities for AI, automation, or process improvement.
  • Partner with stakeholders to identify expected value drivers, including productivity, cost avoidance, quality and compliance, customer experience, employee experience, speed-to-patient, revenue growth, sustainability, or transformation enablement.
  • Support the development of business cases by documenting value assumptions, expected adoption, measurable outcomes, and the logic connecting business activity to value.
  • Help distinguish between product-level value, release-level value, new value, and sustained value to support portfolio planning and value tracking.
  • Collect, document, and validate business-side prioritization inputs, including strategic value, product value, release value, value confidence, reputational risk, dependency, severity, urgency context, and business resource commitments.
  • Prepare opportunities for Technical Review by ensuring business context, scope, desired outcomes, data/content sources, access/security needs, dependencies, SMEs, sample use cases, and business points of contact are clearly documented.
  • Partner with Delivery Architects to identify gaps before technical feasibility assessment and support a clean handoff from discovery into technical design and delivery planning.
  • Create leadership-ready summaries that explain the business problem, value driver, recommendation, scope, risks, tradeoffs, and next steps.
  • Support prioritization conversations by helping stakeholders understand how value, urgency, risk, strategic alignment, and effort influence portfolio decisions.
  • Use approved AI tools, including ChatGPT and other AI technologies, to accelerate discovery, summarize stakeholder input, improve documentation quality, structure business cases, and create reusable business process artifacts.
  • Collaborate across global, virtual, and cross-functional teams to align business, product, architecture, and delivery stakeholders around clear outcomes.
  • Promote continuous improvement in intake, discovery, business architecture, value definition, and pre-delivery readiness practices.

Benefits

  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible.
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