Business Analyst – Consultant

KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm

About The Job:

• A Business Analyst with 5+ years of Pharma Quality experience, responsible for collaborating with business stakeholders to define and prioritize quality transformation initiatives.
• Translates requirements into epics, user stories and acceptance criteria, and works closely with business, quality and technology teams to deliver validated digital solutions.

Essential Job Functions:

• Collaborates with business, Quality and IT stakeholders to define, shape and prioritize quality transformation initiatives.
• Gathers and analyses requirements across Quality processes and translates them into epics, user stories, acceptance criteria and a prioritized backlog.
• Maps and improves Quality processes — Deviation Management, Non-Conformance (NC), CAPA, Audits, Complaints, Batch Release and Quality Analytics.
• Acts as the bridge between Business, Quality, IT and Technology teams, keeping requirements, scope and priorities aligned.
• Ensures solutions meet GxP compliance, validation and regulatory requirements, and supports CSV activities and validation documentation.
• Works with validated systems and quality platforms (e.g. Veeva or similar Life Sciences applications) to define and validate solution requirements.
• Supports Agile delivery — backlog management, sprint planning and UAT — and helps identify high-value Data & AI use cases for Quality.
• Communicates assumptions, dependencies, risks and progress clearly to technical and business stakeholders.

Qualifications:
Must haves

• 5+ years’ experience in Pharma Quality with a strong understanding of Quality processes and operations.
• Hands-on exposure to Deviation Management, Non-Conformance (NC), CAPA, Audits, Complaints, Batch Release and Quality Analytics.
• Knowledge of GxP compliance, validation documentation and regulatory requirements.
• Experience working with validated systems, CSV activities and quality platforms such as Veeva or similar Life Sciences applications.
• Proven ability to gather requirements and translate them into epics, user stories, acceptance criteria and prioritized backlogs.
• Strong stakeholder management, acting as a bridge between Business, Quality, IT and Technology teams.

Good to have

• Experience in Data & AI driven Quality transformation programs and identification of high-value use cases.
• Exposure to Agile delivery methodologies, Jira, backlog management, sprint planning and UAT support.
• Understanding of Pharma data architecture, reporting and analytics platforms.
• Experience driving digital transformation initiatives across Quality & Manufacturing.