Head of Data Delivery

Summary

Join Owkin as the Head of Data Delivery and lead a large team in delivering data for AI-assisted biomedical research and clinical development. You will manage data engineers, bioinformaticians, data stewards, and data analysts, overseeing a petabyte-scale repository of multi-modal biomedical datasets. This key leadership role reports to the VP of Engineering and involves defining and implementing the data delivery strategy, ensuring timely delivery of high-quality datasets, and managing data ingestion from a federated network. You will also develop a highly automated, cloud-based technical environment, implement self-service solutions, and contribute to the company's overall data strategy. This position offers the opportunity to build and grow a state-of-the-art team and FAIR data platform, based in Paris, Nantes, London offices or remotely in France or the UK.

Requirements

• Be passionate about revolutionizing life sciences through AI and data
• Master's degree or PhD in Computer Science, Bioinformatics, Data Science, or related field
• 7+ years of experience in data engineering, data science, or related fields with 3+ years in management roles
• Deep understanding of biomedical data structures, formats, and standards
• Strong background in managing complex data ecosystems and engineering teams
• Experience with cloud-based data platforms and infrastructure (AWS, GCP, or Azure)
• Expertise in data governance, security, and compliance in a regulated environment
• Excellent communication skills and ability to translate technical concepts to various stakeholders
• Strong project management skills with ability to lead multiple concurrent initiatives
• Be fluent in written and spoken English

Responsibilities

• Lead and develop a large team of data engineers and data experts focused on building the data assets of the entire company
• Define and implement the data delivery strategy for R&Tech, aligning with organizational goals and ensuring the integration of digital, data, and technology across the research lifecycle
• Ensure timely delivery of AI-ready datasets with consistent quality to Owkin researchers and customers
• Manage a petabyte-scale repository of multi-modal biomedical datasets
• Raise AI-readiness (interoperability, quality, and code-readiness) of data through an evergreen, systematic program of improvement
• Develop a highly automated, cloud-based technical environment for data engineering and analysis
• Manage data ingestion from a federated data network including academic medical centers, clinical research organizations (CROs), and laboratories
• Ensure the confidentiality, integrity, and availability of data to industry standards such as ISO 27001 and GxP
• Provide reporting and analysis of data availability and quality to business and scientific stakeholders
• Implement self-service solutions and technical strategies to improve data accessibility and efficient data management
• Strong internal client orientation-managing client relationships, onboarding, and ensuring SaaS solutions meet client need
• Contribute to the company's overall data strategy and vision
• Oversee the design, implementation, and delivery of data platforms, analytics tools, and digital solutions to support drug discovery, clinical development, and translational research
• Oversee data delivery work packages as part of multiple concurrent Owkin and customer projects
• Establish and maintain data quality standards and performance metrics across all projects
• Drive continuous improvement in data processing pipelines and workflows
• Support Owkin's data acquisition team in evaluating and onboarding new datasets
• Support the delivery of data assets to Owkin customers and internal users, including resolving quality issues and other customer feedback
• Work closely with Owkin's business development team to align data capabilities with business opportunities
• Collaborate with R&T engineering, data science, and project management teams to deliver projects
• Partner with Owkin's platform engineering & security teams for infrastructure and cybersecurity support

Preferred Qualifications

• Deep understanding of the pharmaceutical industry and healthcare data ecosystems
• Experience with multi-modal data integration (imaging, genomics, clinical data)
• Knowledge of GxP, GDPR, HIPAA, and other relevant regulations
• Background in life sciences or healthcare industry
• Experience delivering data solutions in a federated or distributed environment
• Track record of implementing innovative data architecture solutions
• Familiarity with AI/ML workflows and requirements for data preparation
• Familiarity with pseudonymisation, synthetic data and disclosure control

Benefits

• Flexible work organization
• Friendly and informal working environment
• Opportunity to work with an international team with high technical and scientific backgrounds