Business Analyst

Key responsibilities

• Lead discovery workshops to capture current-state processes, pain points, personas, and use case priorities.
• Write Business and Functional Requirement Documents (BRD/FRD), user stories, and acceptance criteria.
• Own backlog refinement with the Product Owner; prioritize work by business value and data readiness.
• Map end-to-end workflows, including approval, review, intake, and escalation flows across functions.
• Define business rules, thresholds, scoring logic, severity levels, and KPIs with SMEs.
• Facilitate configuration sessions and translate decisions into build specifications for engineers.
• Maintain traceability from requirements to build, test cases, and deliverables.
• Plan and support UAT: test scenarios, business validation of AI outputs, defect triage, and sign-off.
• Contribute to the RAID log, decision log, status reports, and change-control assessments.
• Produce user playbooks, process documentation, and handover materials.

Required skills

• Strong requirements elicitation, process modeling (BPMN or similar), and gap analysis.
• Agile delivery with Jira, Azure DevOps, or similar tools; comfortable working in two-week sprints.
• Working SQL and data literacy: can read schemas, metadata, and data profiles to validate requirements.
• Ability to define acceptance criteria for AI features, such as accuracy, confidence, and evidence needs.
• Clear written and verbal communication with business, technical, and executive audiences.
• Skilled workshop facilitator who can align multiple stakeholders on one requirement set.

Preferred skills

• Experience with GenAI, LLM, RAG, or agentic AI products, including human-in-the-loop design.
• Exposure to data governance concepts: metadata, data catalogs, taxonomies, data quality rules, lineage.
• Domain knowledge in pharma or life sciences (commercial, medical, regulatory, launch, or content review).
• Familiarity with BI tools (Power BI, Tableau) and dashboard requirement definition.
• Certification such as CBAP, CCBA, PMI-PBA, or CSPO.

This Business Analyst translates business needs into testable requirements for AI and data products, coordinating discovery, backlog refinement, and validation. The role supports delivery from process analysis and specification through UAT, with a focus on aligning stakeholders, product decisions, and engineering work.

Role at a glance

Skills mentioned

What you will likely work on

• Run discovery sessions to document processes, user needs, pain points, and prioritized use cases.
• Develop business and functional requirements, user stories, and acceptance criteria.
• Refine the product backlog with the Product Owner, weighing business value and data readiness.
• Map cross-functional workflows and define business rules, thresholds, scoring logic, severity levels, and KPIs.
• Translate configuration decisions into build specifications and maintain traceability across requirements, testing, and deliverables.
• Plan and support UAT, including test scenarios, review of AI outputs, defect triage, and business sign-off.
• Track risks, actions, issues, decisions, status, and proposed changes.
• Create process documentation, user playbooks, and handover materials.

Good fit signals

• Has 4–6 years of business analysis experience, including at least 2 years supporting data, analytics, or AI/ML product delivery.
• Can elicit requirements and model processes, then express needs as clear, testable specifications.
• Is comfortable using SQL and examining schemas, metadata, and data profiles to validate requirements.
• Can facilitate workshops and align business, technical, and executive stakeholders.
• Experience with GenAI or life sciences, or familiarity with data governance, BI tools, or relevant certifications, is helpful but preferred.