Specialist IS Bus Sys Analyst

Amgen SA; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Amgen is looking for a Specialist IS Business Systems Analyst in Hyderabad, India. In this role, you will collaborate with Operations stakeholders and Data Scientists to drive AI solutions improving efficiency and decision-making.

The ideal candidate will have at least 8 years of experience, focusing on business analysis, process modeling, and agile product delivery. This position requires a robust understanding of Generative AI and strong communication skills.

Qualifications

• 8 to 13 years of experience in relevant role, emphasizing business analysis and agile methodologies.

Responsibilities

• Partner with stakeholders to align business analysis with product strategy.
• Drive requirements discovery and business process analysis.
• Define scope and measurable outcomes for AI-enabled solutions.

Skills

Business Analysis

Agile Product Delivery

Analytics

Communication

GenAI-Specific Preferred Skills

Education

Doctorate degree / Master's degree / Bachelor's degree

Job description

Specialist IS Business Systems Analyst

What you will do

We are seeking a Specialist IS 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.
• Analyze 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 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's degree / Bachelor's degree and 8 to 13 years of experience.