Specialist IS Bus Sys Analyst
Specialist IS Bus Sys Analyst
India - Hyderabad Apply NowJoin Amgen’s Mission of Serving Patients
At Amgen, if you feel likeyou’repart of something bigger,it’sbecause you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
Since 1980,we’vehelped 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’llhelp 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’llthrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Specialist IS Bus Sys Analyst
Whatyou will do
Let’sdo this.Let’schange the world.We are seeking a Specialist IS Business Analyst to partner with Operations stakeholders, Product Managers, Data Scientists, and Engineers toidentify, define, and deliver Generative AI solutions that improve operational efficiency, decision-making, and user experiences. This role will driverequirementsdiscovery, 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.
Analyze current-state and future-state business processes, workflows, journey maps, and operational challenges toidentifyoptimization opportunities.
Identifyand 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 aredelivery-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 modeling
Gap analysis
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
GenAI-Specific Preferred Skills
Experience with Generative AI products and solutions
Understanding of LLMs, copilots, chatbots, and AI assistants
Prompt engineering concepts
Knowledge of RAG-based solutions
AI evaluation and adoption metrics
AI governance and responsible AI principles
Basic Qualifications:
Doctorate degree /Master'sdegree /Bachelor'sdegree and 8 to 13 years of experience.