Director, R&D Data Science & Digital Health - AI & Literacy Lead

Role Summary

Director, Knowledge & Literacy Lead to drive the enterprise-wide flow of AI insights across Johnson & Johnson. This role ensures that AI-related knowledge is curated, contextualized, and made accessible to inform strategic decision-making and accelerate confident adoption across R&D. Focuses on knowledge architecture, strategic insight development, and internal storytelling; requires deep technical fluency in AI, a strong scientific background, and the ability to translate complex developments into compelling narratives for diverse stakeholders.

• Executive Insight Development:
  Partner directly with the Chief Data Science Officer (CDSO) to develop high-impact executive briefings, strategic overviews, and thought leadership materials that synthesize emerging AI trends and their implications for R&D.
• AI Intelligence Translation:
  Monitor global AI advancements on a weekly basis and translate technical developments into strategic insights tailored to the needs of senior R&D leaders.
• Internal Innovation Storytelling:
  Collaborate with DSDH teams to identify, shape, and amplify internal AI tool success stories—crafting narratives that highlight their strategic value to R&D.
• Knowledge Architecture & Dissemination:
  Design and evolve a knowledge-sharing framework that ensures timely, structured, and scalable access to AI insights across the enterprise.
• Cross-Functional Collaboration:
  
  Engage with scientific, technical, and business stakeholders to identify knowledge gaps and deliver tailored, high-value content that supports AI literacy and adoption.
• Innovation in Communication:
  Leverage digital platforms and novel formats (e.g., interactive dashboards, visual storytelling, microlearning) to enhance the reach and resonance of AI insights.

• PhD or equivalent advanced degree in a relevant scientific, technical, or data science discipline.
• Minimum 8 years of experience in pharmaceutical, biotech, healthcare, or life sciences, with at least 3 years in a strategic, consulting, or executive advisory capacity.
• Deep understanding of AI/ML technologies, including generative AI, and their application in R&D.
• Proven ability to synthesize complex technical information into clear, actionable insights for senior leadership.
• Strong storytelling and communication skills, with experience developing executive-level presentations and strategic narratives.
• Demonstrated success in cross-functional collaboration, particularly with data science, digital health, and R&D teams.
• Experience with knowledge management systems, digital communication tools, and insight dissemination platforms.

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

• Travel:
  Up to 25% travel required.