Associate Director, AI Context & Data Governance

Scorpion Therapeutics; New Jersey; On-site; USD 180,000 - 230,000; Full time

Job summary

Johnson & Johnson is seeking an Associate Director, Data Context Enablement to lead development and operationalization of the enterprise AI Context Layer. This role drives governance, scale, and trusted data to support AI applications across therapeutic areas.

The position focuses on defining reusable data context products, partnering with business and technology teams, and ensuring data readiness for analytics, CRM, and decision support in a regulated healthcare context.

Qualifications

• 10+ years in data management, AI, or analytics
• Degree in Computer Science, Data Science, or related fields
• Strong knowledge of data platforms, semantic modeling, AI governance, and data lifecycle management
• Experience with Generative AI, knowledge graphs, metadata, and enterprise data strategies
• Proven leadership in complex cross-functional initiatives and stakeholder management

Responsibilities

• Define and scale reusable data context products
• Establish governance frameworks
• Partner with business and technology teams to identify high-value AI use cases
• Ensure trusted, governed data enabling AI, analytics, CRM, and decision support
• Monitor KPIs, manage stakeholder engagement, and coordinate AI governance activities

Skills

Data governance

Semantic modeling

AI governance

Knowledge graphs

Data lifecycle management

Leadership

Stakeholder management

Generative AI

Cross-functional collaboration

Data management

Education

Degree in Computer Science

Degree in Data Science

Tools

Data platforms

Job description

Johnson & Johnson is seeking an Associate Director, Data Context Enablement to lead development and operationalization of the enterprise AI Context Layer. This role drives governance, scale, and trusted data to support AI applications across therapeutic areas.

The position focuses on defining reusable data context products, partnering with business and technology teams, and ensuring data readiness for analytics, CRM, and decision support in a regulated healthcare context.