Global Data Enablement Director: AI & Analytics

Novartis AG; Basel-Stadt; Hybrid; CHF 146,000 - 272,000; Full time

Benefits offered by this job

Hybrid work options

Relocation support

Competitive benefits

Job summary

Novartis AG is seeking a Senior Data Enablement Lead to drive data strategy across International Medical Affairs, Value & Access and Patient teams in Basel. You will shape data products, governance, and semantic capabilities to enable scalable analytics and AI-enabled solutions.

The role requires extensive experience with structured and unstructured data, data platforms, and cross-functional collaboration, supporting hybrid work models and global delivery.

Qualifications

• Bachelor’s degree or higher in a relevant technical or business field.
• MS/MA degree preferred.
• 8+ years in data, analytics, data strategy, or digital transformation.
• 5+ years in pharmaceutical/Healthcare/Market Access or related life sciences experience.
• Experience translating business needs into data/AI/ platform requirements.
• Experience with unstructured data concepts and AI-ready data prep.

Responsibilities

• Serve as the main contact for data enablement across IMA, V&A and Patient.
• Lead scalable data enablement models and reuse data foundations.
• Promote governance, metadata, taxonomy alignment and semantic tagging for analytics products.
• Partner with DDIT, Data Platform, AI & Data Science and Architecture teams.
• Enable reusable, governed data products aligned with EDM standards.

Skills

Data enablement

Analytics

AI/Agent readiness

Data governance

Cloud data platforms

Education

Bachelor's degree in Computer Science/Engineering/Math/Analytics

Master's degree preferred

Tools

Semantic layers

Knowledge graphs

Vector databases

Job description

Novartis AG is seeking a Senior Data Enablement Lead to drive data strategy across International Medical Affairs, Value & Access and Patient teams in Basel. You will shape data products, governance, and semantic capabilities to enable scalable analytics and AI-enabled solutions.

The role requires extensive experience with structured and unstructured data, data platforms, and cross-functional collaboration, supporting hybrid work models and global delivery.