Senior Director, Data Management & Analytical Data Science Solutions

The Biometrics team provides the core analytical capabilities and data pipelines for clinical development. The team delivers the technology solutions required for acquisition, ingestion and harmonization of CRF and non-CRF data from clinical studies, enabling statistical analysis and aggregation and delivering the data for regulatory reporting. The solutions enable the development of advanced analytics models to support product development decisions.

Your mission is to lead this multidisciplinary global team in building scalable and compliant AI-integrated/AI-native products that transform this critical pipeline.

Key Responsibilities:

• Define the long-term product roadmap and financial objectives.
• Aggressively integrate AI/ML capabilities and track KPIs to ensure alignment with business outcomes.
• Lead the architectural modernization and global scaling of cloud-native data pipelines handling petabyte-scale clinical datasets with high availability and real-time processing capabilities.
• Oversee the end-to-end portfolio, identifying innovation opportunities and managing the evolution of complex products from ideation to retirement.
• Architect a seamless user experience for internal scientists and clinicians by anticipating market shifts and emerging technology trends.
• Manage a complex ecosystem of global internal teams, SaaS vendors and external delivery partners.
• Drive a culture of data-informed decision-making, continuous learning, and cross-functional collaboration.
• Drive the deployment of next-generation generative AI agents and machine learning models directly into biometrics workflows to automate data harmonization and regulatory reporting.
• Oversight of validated systems, GxP compliance and alignment with business functions for AI-driven clinical submissions and data pipelines.
• Coach and mentor product managers and engineers.

Who You Are

• Advanced degree (Master/PhD) in a Science or Technology discipline
• 10+ years in Product Engineering and Business Analysis, with at least 4 years recent experience in Pharma/Biotech Biometrics domain and 4+ years in a leadership role managing interdisciplinary teams.
• Fluency in modern software architecture (APIs, Cloud, Microservices) and experience of implementing AI Agents in Biometrics workflows
• Exceptional ability to influence senior leadership and align diverse groups (scientists, engineers and executives) toward a unified goal.
• Proven track record of delivering enterprise-scale data platforms and AI solutions within complex global environments.
• Experience leading technical teams (engineers and product managers).