About The Position

Roche Digital Technology (RDT) is a global team of business-minded technologists working to advance Roche’s digital future in healthcare. Its mission is to use digital technologies, artificial intelligence, data, and scalable innovations to strengthen Roche and support patients worldwide. The Senior Director will act as Head of Product Biometrics, with strategic autonomy over the technology portfolio supporting clinical data ingestion, processing, and advanced analytics. The role connects scientific domains with digital engineering by setting product strategy, architectural roadmaps, and an AI integration vision for Roche’s global clinical pipeline. The Biometrics team provides analytical capabilities and data pipelines for clinical development. Its solutions acquire, ingest, and harmonize CRF and non-CRF clinical study data, enable statistical analysis and aggregation, and deliver data for regulatory reporting and advanced analytics. The Senior Director leads a multidisciplinary global team to build scalable, compliant, AI-integrated or AI-native products for this pipeline.

Requirements

  • Advanced degree (Master’s or PhD) in a science or technology discipline.
  • 10+ years of experience in Product Engineering and Business Analysis.
  • At least 4 years of recent experience in the Pharma/Biotech Biometrics domain.
  • At least 4 years in a leadership role managing interdisciplinary teams.
  • Fluency in modern software architecture, including APIs, cloud, and microservices.
  • Experience implementing AI agents in Biometrics workflows.
  • Ability to influence senior leadership and align scientists, engineers, and executives toward a shared goal.
  • Track record delivering enterprise-scale data platforms and AI solutions in complex global environments.
  • Experience leading technical teams, including engineers and product managers.

Responsibilities

  • Define the long-term product roadmap and financial objectives.
  • Integrate AI/ML capabilities and track KPIs to ensure alignment with business outcomes.
  • Lead architectural modernization and global scaling of cloud-native data pipelines for large clinical datasets, with high availability and real-time processing capabilities.
  • Oversee the end-to-end product portfolio, identify innovation opportunities, and manage products from ideation through retirement.
  • Shape the user experience for internal scientists and clinicians while anticipating market shifts and emerging technology trends.
  • Manage global internal teams, SaaS vendors, and external delivery partners.
  • Promote data-informed decision-making, continuous learning, and cross-functional collaboration.
  • Drive deployment of generative AI agents and machine learning models in biometrics workflows to automate data harmonization and regulatory reporting.
  • Oversee validated systems and GxP compliance, and align with business functions on AI-driven clinical submissions and data pipelines.
  • Coach and mentor product managers and engineers.

Benefits

  • A discretionary annual bonus may be available based on individual and Company performance.
  • Benefits are available as detailed at the link provided in the job posting.
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