Director, Fair by Design

• Provide strategic leadership for the Data Capability and serve as a key member of the Data Capability Leadership Team
• Lead a world-class team of data modelers, architects and governance experts
• Develop and implement the data FAIRification and compliance strategy
• Ensure adoption of data governance and policies
• Make decisions on talent, resourcing, strategic prioritization, technical roadmaps, business processes and solution development
• Develop and execute strategy for leveraging AI, automation and advanced technologies to revolutionize data enrichment processes
• Hire, develop and retain talent, fostering opportunities for team members to enhance skills and impact
• Define team objectives, priorities and Objectives and Key Results (OKRs)
• Modernize and harmonize workflows and processes to deliver FAIR, compliant and AI-ready data assets
• Oversee large-scale strategic initiatives and data insight development projects
• Facilitate effective data lifecycle management
• Collaborate with DDC domains and capability leads and stakeholders across pRED and gRED
• Foster internal and external partnerships and build a culture of data as an asset in Research and Development

• Master’s degree in a scientific or technical field
• 8+ years of experience in Pharma, Diagnostics or a related R&D data environment
• Strong understanding of R&D processes
• Hands‑on expertise in at least one core data domain, such as data stewardship, data standards, data architecture, FAIRification, data modeling, data quality, metadata or data management
• Proven experience leading complex projects, initiatives or teams across multiple stakeholders
• Ability to influence without authority and deliver strong outcomes in a matrix environment
• Familiarity with regulatory requirements and industry standards related to data privacy, security, quality and compliance
• Experience as a group/team leader is a plus
• Experience with semantic technologies, RDF vocabularies, biomedical ontologies, data standards and data modeling, JSON, SPARQL, federated search, relational databases, knowledge graph technologies, or AWS Neptune would be a strong advantage

Demonstrates expertise in data governance, compliance strategies, and advanced data management techniques, with a strong focus on leveraging AI and automation to enhance data processes. Proven ability to lead diverse teams and manage complex projects within the pharmaceutical and diagnostics sectors.

• Data Governance
• Data Architecture
• AI and Automation Strategy
• Project Leadership
• R&D Processes

• Data Stewardship
• Data Standards
• Data Modeling
• Data Quality
• Metadata Management
• FAIRification
• JSON
• SPARQL
• Relational Databases
• Knowledge Graph Technologies

• Influencing Without Authority
• Team Leadership
• Collaboration

• Pharma
• Diagnostics
• R&D Data Environment
• Data Privacy
• Data Security
• Compliance

• Semantic Technologies
• RDF Vocabularies
• AWS Neptune