Senior Director, Immunology Data & AI Systems

About the role

We are seeking a strategic and technical leader to Deliver data products and associated AI applications that are aimed at accelerating the Immunology R&D Pipeline. This role reports through the Research & Development Data Science & Digital Health (DSDH), directly to Vice President, Immunology and Cardiopulmonary, DSDH. They will be tasked with leading a team to accelerate and scale the development of foundational enterprise data products, and deployment of a diverse set of scaled AI models and solutions for the entire Immunology therapy area.

Responsibilities

• Lead a team to develop technical requirements for Immunology-facing data products that enable AI applications.
• Attract, upskill and retain top talents in the field, manage a technical team, and collaborate with key stakeholders in R&D, DSDH, and Johnson & Johnson Technology (JJT).
• Define and maintain a roadmap for Immunology data products, spanning discovery, translational research, clinical development, and real-world evidence.
• Partner with Knowledge Management, Data Platforms & Governance, and Master Data Management teams to ensure Immunology data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs.
• Lead a team that works with key business partners to develop and deploy impactful and scalable AI solutions for Immunology.
• Contribute to the development and governance of an Immunology Ontology to enable semantic consistency across discovery, clinical, regulatory, and real-world data.
• Establish and work with governance models, agile delivery processes, and value-tracking metrics for Immunology data products and AI tools.
• Champion data literacy and adoption within the Immunology therapeutic area (TA).

Requirements

• Advanced degree (PhD) in disciplines such as Computer Science, AI/ML, Engineering, Biomedical engineering, Applied Mathematics or similar.
• Minimum of 10 years of post-academic, industry, or equivalent, experience.
• Experience with diverse, high dimensional data sets, such as multi-modal Immunology data, including omics, imaging, translational, clinical trial, and RWE data.
• Extensive experience in creating scalable and impactful data-driven solutions, including managing their full life cycle (design, development, testing, deployment, operations & maintenance, etc.).
• Strong experience in people leadership, and ability to work in a matrixed organization.
• Excellent communication skills and strategic thinking capabilities.

Qualifications

• Advanced degree (PhD) in disciplines such as Computer Science, AI/ML, Engineering, Biomedical engineering, Applied Mathematics or similar.
• Minimum of 10 years of post-academic, industry, or equivalent, experience.
• Experience with diverse, high dimensional data sets, such as multi-modal Immunology data, including omics, imaging, translational, clinical trial, and RWE data.
• Extensive experience in creating scalable and impactful data-driven solutions, including managing their full life cycle (design, development, testing, deployment, operations & maintenance, etc.).
• Strong experience in people leadership, and ability to work in a matrixed organization.
• Excellent communication skills and strategic thinking capabilities.

Skills

• Advanced Analytics
• Budget Management
• Business Alignment
• Compliance Management
• Consulting
• Critical Thinking
• Data Analysis
• Data Privacy Standards
• Data Quality
• Data Reporting
• Data Savvy
• Data Science
• Data Visualization
• Developing Others
• Digital Fluency
• Inclusive Leadership
• Leadership
• Strategic Thinking