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Business Architect, Applied AI & Automation
Lifelancer
Product/Program/Architecture/OperationsUnited States
1 month ago
💻 Open SourceUses ChatGPT and Custom GPTs to accelerate discovery and documentation; works on building and shaping AI-driven products and automation opportunities.
About the Role
The Business Architect, Applied AI & Automation will shape and prepare business opportunities for Amgen’s Applied AI portfolio by leading discovery, documenting current and future-state processes, defining value drivers, and ensuring requests are ready for technical review and delivery. The role partners with stakeholders across product, solution, and delivery teams to connect AI and automation investments to measurable business outcomes.
Job Description
Role
The Business Architect, Applied AI & Automation is a pre-delivery business architecture role within the AI & Data Science organization. The role focuses on shaping business demand for AI, automation, process intelligence, digital workflow, and productivity initiatives by leading discovery activities, documenting business context and processes, defining value drivers, and preparing opportunities for technical review and delivery planning.
Key Responsibilities
- Lead business discovery activities for AI, automation, process, workflow, and digital opportunities.
- Partner with business stakeholders, product managers, solution partners, delivery architects, and delivery leads to clarify needs, scope, outcomes, and readiness for technical review.
- Translate ambiguous requests into structured opportunity statements (business problem, stakeholder impact, current-state pain points, desired future state, value drivers, risks, dependencies, assumptions, success measures).
- Support intake triage and assess readiness to move requests into discovery.
- Capture customer and stakeholder input into business architecture artifacts: opportunity briefs, process maps, value summaries, business case inputs, decision narratives, and discovery documentation.
- Define and document current-state and future-state processes using fit-for-purpose methods (process flows, SIPOC, value stream maps, journey maps, capability maps, decision flows).
- Identify process inefficiencies, gaps, handoffs, dependencies, risks, business rules, and opportunities for AI or automation.
- Support business case development by documenting value assumptions, expected adoption, measurable outcomes, and value logic.
- Prepare opportunities for technical review with documented context, scope, data/content sources, access/security needs, dependencies, SMEs, sample use cases, and business points of contact.
- Partner with delivery architects to surface gaps prior to technical feasibility assessments and support clean handoffs into delivery planning.
- Create leadership-ready summaries that explain the business problem, value driver, recommendation, scope, risks, tradeoffs, and next steps.
- Use approved AI tools (e.g., ChatGPT, Custom GPTs) to accelerate discovery, summarize stakeholder input, and improve documentation quality.
- Collaborate across global, virtual, and cross-functional teams and promote continuous improvement in intake, discovery, and pre-delivery readiness practices.
Requirements
Basic Qualifications
- Doctorate degree OR
- Master’s degree and 2 years in Computer Science, IT or related field OR
- Bachelor’s degree and 4 years in Computer Science, IT or related field OR
- Associate’s degree and 8 years in Computer Science, IT or related field OR
- High school diploma/GED and 10 years in Computer Science, IT or related field
Preferred / Functional Skills
- Strong business architecture, business analysis, and problem-framing skills.
- Experience leading discovery activities and translating ambiguous needs into decision-ready opportunities.
- Understanding of demand intake, opportunity assessment, discovery, prioritization, technical review preparation, and pre-delivery planning.
- Process documentation skills and ability to define current-state and future-state processes.
- Experience supporting business cases, value assessments, ROI estimates, and value realization planning.
- Strong stakeholder engagement, facilitation, and executive communication skills.
- Analytical thinking, structured problem-solving, and ability to validate assumptions with data and stakeholder input.
- Ability to operate independently in a matrixed environment and collaborate across functions.
Good-to-Have / Tools & Methods
- Experience with AI, automation, process intelligence, digital workflow, enterprise platforms, or transformation initiatives.
- Familiarity with UiPath, DocuSign, Celonis, Power Platform, WalkMe, Custom GPTs, ChatGPT.
- Familiarity with process and planning methods and tools such as SIPOC, value stream mapping, BPMN, journey mapping, capability mapping, Miro, Lucidchart, Visio.
- Experience with Agile/SAFe/Scrum, WSJF, Jira, Jira Align, Smartsheet, Confluence.
- Familiarity with regulated life sciences environments and standards (e.g., GxP, CFR 21 Part 11) is a plus.
- Professional certifications (preferred): Business Architecture, Lean Six Sigma, CBAP/CCBA/ECBA, SAFe, Product Management, BPM, or AI/digital transformation certifications.
Success Measures
- Improved clarity, completeness, and quality of business demand entering Applied AI & Automation.
- Stronger discovery outputs and better-prepared opportunities for technical review.
- Clearer value logic and business case support for AI, automation, and process opportunities.
- More consistent prioritization inputs and cleaner handoffs into delivery planning.
- Increased use of approved AI tools to improve documentation quality and speed.