Director of Data

Director of Data

Summary: The Director of Data is a senior leadership role responsible for the strategic oversight and technical excellence of the organization's data ecosystem. This role focuses on building a scalable, high-performance data organization that supports the complex needs of modern drug discovery and clinical development. You will ensure that data flows seamlessly across the enterprise, providing a "single source of truth" that is compliant, secure, and optimized for advanced analytics.

Key Requirements:

• Substantial professional experience within the Life Science industry, with a deep understanding of GxP data integrity standards (ALCOA+), clinical data management, and pharmaceutical regulatory environments.
• Minimum of 10 years of experience in Data Engineering, Data Architecture, or Analytics leadership, with a proven track record of managing large-scale global data platforms.
• Expertise in leading the design and implementation of modern data infrastructure, including Cloud Data Warehousing (e.g., Snowflake, Databricks) and Master Data Management (MDM).
• Demonstrated ability to lead and mentor large, multidisciplinary data teams while managing significant capital and operational budgets.
• Mastery of the English language, with the ability to communicate technical data strategies to executive leadership and scientific stakeholders.

Main Responsibilities:

• Define and execute the global enterprise data strategy, ensuring that data infrastructure is aligned with R&D, clinical, and commercial milestones.
• Lead the Data Governance and Quality initiatives to ensure 100% compliance with international regulatory standards and data privacy laws (GDPR/HIPAA).
• Direct the engineering teams in building robust, automated data pipelines that support real-time reporting and AI/ML model training.
• Collaborate with the Director of AI and other business heads to ensure the data landscape is optimized for predictive modeling and evidence-based decision-making.
• Act as the senior architect for data-related change management, driving the adoption of a data-centric culture across the global organization.