Business Analyst – AI-Powered Solutions

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Collaborate with Product Managers and Delivery Leads to define, refine, and prioritize product requirements
Gather, analyze, and document business requirements, user stories, acceptance criteria, and business processes
Conduct stakeholder interviews, workshops, and user feedback sessions to understand business and user needs
Translate requirements into well-structured Jira epics, features, user stories, and tasks
Work closely with UX/UI Designers to define user journeys, personas, workflows, and usability requirements
Collaborate with engineering and data teams to clarify requirements and support iterative Agile delivery
Support the design and validation of AI-powered workflows, including agentic AI interactions and business processes
Create and maintain product requirements, process documentation, and knowledge-base materials in Confluence
Partner with QA teams to define test scenarios, acceptance criteria, and validation approaches
Collect, analyze, and manage user feedback, enhancement requests, and product improvement opportunities
Support product releases, user adoption, rollout, and change management activities
Maintain a well-structured and prioritized product backlog in collaboration with stakeholders

3+ years of experience as a Business Analyst working on software development or digital product delivery projects
Experience working in the Life Sciences, pharmaceutical, biotechnology, healthcare, or biomedical research domains
Practical experience supporting the delivery of AI-powered applications or solutions
Strong understanding of Agile methodologies, including Scrum and/or Kanban.
Hands-on experience with Jira and Confluence
Proven experience gathering, analyzing, and documenting business requirements, user stories, and acceptance criteria
Experience collaborating with cross-functional teams, including Product Management, UX/UI, Engineering, and QA
Experience supporting the end-to-end software development lifecycle, from discovery and requirements gathering through testing and release
Strong analytical thinking and ability to translate complex or ambiguous business needs into clear, actionable requirements
Experience facilitating workshops, stakeholder interviews, and requirements review sessions
Excellent communication, documentation, and stakeholder management skills
Strong English communication skills

Experience working on Agentic AI, or Generative AI (LLM-based) applications
Understanding of AI concepts and technologies, including Retrieval-Augmented Generation (RAG), knowledge graphs, semantic search, and metadata management
Experience delivering data-centric products, such as data catalogs, data discovery platforms, or scientific knowledge management solutions
Familiarity with scientific and healthcare data, including clinical, preclinical, omics, biomarker, or real-world data (RWD/RWE)
Understanding of data governance principles and working with AI solutions in regulated or controlled data environments
Experience supporting multiple products or workstreams simultaneously