Head of Clinical Development, AI Workflow

Role Overview

• Define and own the clinical development data product and platform strategy that delivers trusted, harmonized, and analytics-ready data across the clinical lifecycle.
• Partner with clinical, biostatistics, regulatory, and digital stakeholders to align product vision to business priorities and regulatory requirements.
• Ensure the roadmap is scalable and flexible to meet global and therapeutic-area specific needs.
• Lead quarterly and annual planning, prioritizing initiatives based on impact, resource capacity, and scientific value.
• Bridge the gap between scientists and product teams to ensure that outcomes are aligned to business needs and value.
• Gather and prioritize requirements from scientists, technical stakeholders, and cross-functional teams to define the 'What' and 'Why' of product development.
• Direct a team of Data and AI Product Owners responsible for building and evolving individual clinical data products (e.g., EDC ingestion, SDTM conversion, metadata lineage, imaging data hubs).
• Oversee cross-product dependencies, ensuring interoperability, governance alignment, and compliance with data quality standards.
• Ensure all products follow best practices in FAIR data principles, CI/CD delivery, and audit-readiness.
• Build and manage a shared services model across product teams, including re-usable data assets, common pipeline components, and metadata catalogs.
• Represent the clinical data product domain at key leadership forums and strategic decision-making bodies.
• Collaborate with Digital R&D platform leads, enterprise data governance teams, and AI/ML leaders to influence data infrastructure investments.
• Partner with clinical system owners (e.g., Medidata, Veeva Vault) and external data providers to optimize data ingestion and lifecycle management.
• Build and mentor a high-performing team of Product Owners, associate product managers, and data product analysts.
• Cultivate a culture of accountability, agility, innovation, and user-centered thinking.
• Define success metrics, performance reviews, and development plans for team members.
• Promote knowledge sharing, collaboration, and continuous learning across product domains.
• Ensure timely and high-quality delivery of data products in alignment with sprint plans and release milestones.
• Champion agile product development and iterative delivery, balancing short-term execution with long-term product health.
• Drive measurement of impact through business KPIs, data usage metrics, and stakeholder satisfaction.
• Resolve escalated product or delivery risks, and coordinate mitigation strategies across internal and external teams.

Requirements

• Bachelors degree required, Master’s or Ph.D. a strong plus.
• 10+ years of experience in product leadership, including 5+ years managing product teams or portfolios in life sciences or clinical research.
• Deep understanding of clinical development data domains, systems (e.g., EDC, lab systems, imaging, eTMF), and regulatory data requirements (e.g., CDISC, ADaM, SDTM).
• Demonstrated success in building and scaling complex data products in a regulated environment.
• Proven leadership experience influencing cross-functional teams and driving digital or data transformation in R&D.
• Familiarity with metadata management, data catalogs, data lineage, and cloud-native data architecture (e.g., AWS, Snowflake, Databricks).
• Ability to define product vision and strategy and translate that into team deliverables and stakeholder outcomes.
• Excellent communication and executive presentation skills, including the ability to represent the organization at internal and external forums.
• Proven track record of hiring, developing, and retaining top product talent.

Tech Stack

• AWS
• Cloud
• Vault

Benefits

• high-quality healthcare
• prevention and wellness programs
• at least 14 weeks’ gender-neutral parental leave