About this role

Responsible for transforming the company’s Quality Management System (QMS) into an intelligent, data-driven, and proactive framework.
Bridges the gap between Quality Assurance and Information Technology.
Drives the migration from legacy systems to modern eQMS platforms.
Implements AI-driven predictive analytics for compliance.
Ensures the validation and integrity of data in a GxP environment.
Shifts the quality function from a "gatekeeper" to a "proactive business enabler" for the 2025–2026 landscape.

Bachelor’s degree in Pharmacy, Engineering, Data Science, or a related Life Science field; Master’s degree preferred.
10–15+ years in pharmaceutical quality leadership, with at least 5+ years specializing in AI governance, data strategy, or digital quality transformation is required.
A minimum of 5 years of direct people management is required.
Deep understanding of Machine Learning in root cause analysis, GenAI, and agentic AI pipelines is required.
Proven track record of leading large-scale eQMS implementation (e.g., Veeva, ETQ) and data migration projects is required.
Strong ability to influence cross-functional teams and drive change management from "traditional" to "Agile" quality systems is required.

Senior Director, QMS AI Quality & Compliance

Key skills