Career Category
Information Systems
Job Description

Business Architect, Applied AI & Automation

What you will do

Let's do this. Let's change the world. The Business Architect, Applied AI & Automation position offers a unique opportunity to join a fun, innovative team within the AI & Data Science organization. This role will support next-generation AI, automation, process intelligence, digital workflow, and productivity capabilities across Amgen's Applied AI & Automation portfolio.

The job offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) - organization. We are the Applied AI team (AI Studio). AI Studio is Amgen's enterprise engine for turning high-value business challenges into scalable AI products. We partner with key business partners across the company to identify the right opportunities, shape them into actionable use cases, and design, build, and launch AI products responsibly. Our work spans the full lifecycle-from early discovery and rapid prototyping to production deployment, reuse across the enterprise, and measurable business impact.

This is a pre-delivery business architecture role, not a traditional Technical Business Analyst role. The primary focus is to shape business demand before technical design and delivery by partnering with business stakeholders, product teams, solution partners, and delivery architects to clarify opportunities, define business value, document business processes, and prepare high-quality demand for prioritization and technical review.

The role is responsible for leading discovery activities, capturing business context, defining value drivers, supporting business cases, documenting current and future-state processes, and ensuring opportunities are ready to move through intake, discovery, technical review, prioritization, and delivery planning. This role helps ensure that AI and automation investments are connected to measurable business outcomes and that delivery teams receive clear, complete, and value-aligned opportunities.

The Business Architect will play a critical role in improving portfolio quality, strengthening prioritization decisions, and supporting value-driven delivery. The AI&DS framework separates Must Do work from discretionary value-driven work and uses structured inputs such as strategic value, product value, release value, reputational risk, urgency, severity, dependency, release duration, and resource allocation to support objective decision-making.

Roles & 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.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek is an individual with these qualifications.

Basic Qualifications:

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

Preferred Qualifications:

Functional Skills:
Must-Have Skills:

• 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.

Good-to-Have Skills:

• 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.
• Familiarity with GxP, CFR 21 Part 11, computer system validation, quality systems, or regulated Life Sciences environments.
• Domain knowledge in one or more functional areas such as Commercial, Operations, R&D, Medical, Finance, HR, Legal, Compliance, Manufacturing, or Supply Chain.
• 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.

Soft Skills:

• Applies structured, evidence-based thinking to business problems by asking thoughtful questions, validating assumptions, analyzing available data, and using facts to guide recommendations.
• Demonstrates integrity and sound judgment when handling business information, stakeholder input, value assumptions, prioritization recommendations, and sensitive process details.
• Focuses on creating measurable value for patients, staff, and stakeholders by connecting business needs to clear outcomes, value drivers, adoption expectations, and sustainable impact.
• Operates with urgency while maintaining appropriate quality, compliance, ethics, and risk awareness.
• Builds trust through active listening, open dialogue, respectful challenge, and reliable follow-through.
• Communicates clearly and transparently with business, product, architecture, solution, and delivery stakeholders.
• Collaborates effectively across functions, geographies, and product teams to align stakeholders around business outcomes and delivery readiness.
• Simplifies complex or ambiguous business problems into clear opportunity statements, process flows, value logic, and decision-ready recommendations.
• Takes accountability for the quality and completeness of discovery outputs, including scope, business context, value assumptions, stakeholders, dependencies, risks, and readiness criteria.
• Demonstrates curiosity and continuous improvement by using approved AI tools, automation methods, and structured documentation practices to improve speed, quality, and consistency.
• Balances progress with discipline by helping teams move quickly without compromising patient impact, ethics, quality, compliance, safety, or business credibility.

Professional Certifications (Preferred but not required):

• Business Architecture certification
• Lean Six Sigma certification
• CBAP, CCBA, ECBA, or other BABOK-aligned certification
• SAFe certification
• Product Management certification
• BPM or process improvement certification
• AI, automation, or digital transformation certification

Success Measures:

• Improved clarity, completeness, and quality of business demand entering Applied AI & Automation.
• Stronger discovery outputs that define business problem, scope, process context, stakeholders, value drivers, risks, dependencies, and readiness criteria.
• Better-prepared opportunities entering Technical Review with fewer gaps in business context, scope, value assumptions, data/content needs, access considerations, and stakeholder commitments.
• Stronger value logic and business case support for AI, automation, and process opportunities.
• More consistent and transparent prioritization inputs across the portfolio.
• Cleaner handoffs from discovery into technical review, delivery planning, and implementation.
• Increased stakeholder confidence in why opportunities are being prioritized and how they connect to measurable business outcomes.
• Greater use of approved AI tools to improve documentation quality, consistency, speed, and reuse.

What you can expect from us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the