Specialist Business Analyst

Career Category Engineering Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year.

As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based.

If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Senior Associate Bus Sys Analyst What you will do Let’s do this.

Let’s change the world. We are seeking a Senior Associate Business Analyst to partner with Operations stakeholders, Product Managers, Data Scientists, and Engineers to identify, define, and deliver Generative AI solutions that improve operational efficiency, decision-making, and user experiences.

This role will drive requirements discovery, business process analysis, value realization, and product delivery for AI-powered capabilities across Operations functions. Roles & responsibilities Partner with Product Managers, System Architects, Engineering, UX, AI engineers, data scientists, customers, and business stakeholders to align business analysis activities with product strategy and engineering delivery.

Capture the voice of the customer through interviews, workshops, process assessments, and ongoing stakeholder engagement. Analyses current-state and future-state business processes, workflows, journey maps, and operational challenges to identify optimization opportunities.

Identify and evaluate high-value Generative AI and automation use cases that improve business processes, operational workflows, and product capabilities. Define scope, business value, measurable outcomes, success metrics, and value realization plans for AI-enabled solutions.

Translate business needs into functional and non-functional requirements, including accuracy, explainability, usability, latency, governance, security, and operational considerations. Collaborate with AI engineers and data scientists to document prompt workflows, retrieval requirements, user interaction patterns, data dependencies, and AI evaluation expectations.

Break down Epics into Features and sprint-ready User Stories with clear requirements, Acceptance Criteria, Definition of Done, and business value alignment. Partner with Product Management and Engineering to prioritize release scope, refine Product and Release Backlogs, and ensure requirements are delivery ready.

Work with UX teams to align process maps, user scenarios, requirements, and interaction patterns with user experience designs. Validate AI-generated outputs and delivered functionality against business expectations, requirements, and success metrics.

Deliver product demonstrations, business reviews, and stakeholder presentations that communicate product value, adoption, outcomes, and improvement opportunities. Maintain documentation for requirements, business processes, configurations, product decisions, changes, and operational impacts.

Must-Have Skills Business Analysis Requirements elicitation User story development Process modelling Gap analysis ITSM, Change management GXP Validation Stakeholder management Workshop facilitation Agile Product Delivery Scrum SAFe Backlog management Release planning Product lifecycle understanding Analytics Data analysis KPI development Business metrics Reporting Communication Executive communication Presentation skills Documentation Good to have skills: GenAI-Specific Preferred Skills Experience with Generative AI products and solutions Understanding of LLMs, copilots, chatbots, and AI assistants Prompt engineering concepts AI evaluation and adoption metrics AI governance and responsible AI principles Working experience in Engineering GXP validated systems Basic Qualifications: Doctorate degree / Master's degree / Bachelor's degree and 5-9 years of experience.

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