Business Analyst – Pharma/GxP/Data Governance/Gen AI Location: Remote Experience: 8+ Years Domain: Pharma / Life Sciences

Job Description

We are seeking an experienced Business Analyst with strong Pharma/Life Sciences domain expertise to support initiatives focused on Data Quality, Regulatory Compliance, and Generative AI (Gen AI) within GxP-regulated environments. The ideal candidate will work closely with Quality, Regulatory, Data Science, and Technology teams to drive compliant digital transformation and AI-enabled quality processes.

Key Responsibilities

• Collaborate with Quality, Regulatory, and business stakeholders to gather, analyze, and document business and system requirements aligned with Pharma GxP standards.
• Translate business requirements into BRDs, FRDs, URS/FRS documents, user stories, and acceptance criteria.
• Drive initiatives related to data governance, data integrity, and data quality management based on ALCOA+ principles.
• Identify and support Gen AI use cases including deviation analysis, CAPA automation, audit readiness, and document intelligence.
• Partner with Data Science and AI teams to define model inputs/outputs, validation requirements, explainability standards, and compliance controls.
• Facilitate workshops and discussions with cross-functional teams including QA, Regulatory Affairs, IT, Data Engineering, and Analytics.
• Support Computer System Validation (CSV) activities and ensure compliance with regulatory requirements.
• Develop and maintain traceability matrices, process flows, SOP-aligned documentation, data lineage, and mapping documents.
• Coordinate and support UAT, validation cycles, and defect management activities.
• Act as a liaison between business stakeholders, technical teams, and AI/analytics teams in a regulated environment.

Required Qualifications

• 8+ years of experience as a Business Analyst in Pharma or Life Sciences environments.
• Strong understanding of GxP, FDA regulations, CSV, and validation processes.
• Experience in Quality Management, Data Governance, and Data Quality initiatives.
• Hands-on experience with BRD, FRD, URS, FRS, RTM, and UAT documentation.
• Knowledge of ALCOA+ principles and data integrity frameworks.
• Experience working with cross-functional teams in regulated environments.
• Excellent communication, stakeholder management, and analytical skills.
• Exposure to AI/Gen AI projects in Pharma or regulated domains is highly preferred.

Preferred Skills

• Experience with Quality systems, CAPA, deviations, and audit processes.
• Familiarity with Agile/Scrum methodologies.
• Understanding of AI governance, risk, and compliance frameworks.
• Experience with pharma data platforms and analytics initiatives.