Director, AI-Ready Enterprise Data Products

U014 (FCRS = US014) Novartis Pharmaceuticals Corporation; United States; Remote; USD 186,000 - 345,000; Full time

Job summary

Novartis Pharmaceuticals Corporation seeks a Director to lead Data Products and Foundations within Data Partnerships, Innovation and Products. You will own enterprise data foundations, define vision and roadmaps for reference/master data, metadata, and standards, and embed business meaning into products for scalable, enterprise consumption.

You will partner with DEO and multiple teams to ensure data trust, discoverability, and AI-ready data foundations, balancing strategic priorities with

Qualifications

• Bachelor's degree preferred; advanced degree advantageous.
• Extensive experience in data products, data strategy, product management, or analytics enablement.

Responsibilities

• Own the product strategy, roadmap, prioritization, and lifecycle management for Reference Data, Master Data, Metadata, Standards.
• Define products embedding business meaning, semantic definitions, reusable measures, standards, metadata, lineage, and consumption patterns.
• Collaborate with DEO to translate strategy into executable plans and ensure scalable, enterprise-ready products.
• Coordinate with cross-functional teams to prioritize high-value capabilities and reduce duplication.
• Drive product adoption, stakeholder engagement, and continuous improvement based on user feedback.
• Establish governance routines, data standards, metadata coverage, and reliability metrics.

Skills

Brand Analysis

Brand Awareness

Commercial Excellence

Cross-Functional Collaboration

Customer Engagement

Customer Insights

Digital Marketing

Influencing Skills

Inspirational Leadership

Product Roadmap

ROI

Stakeholder Engagement

Stakeholder Management

Thought Leadership

Trend Analysis

Job description

Novartis Pharmaceuticals Corporation seeks a Director to lead Data Products and Foundations within Data Partnerships, Innovation and Products. You will own enterprise data foundations, define vision and roadmaps for reference/master data, metadata, and standards, and embed business meaning into products for scalable, enterprise consumption.

You will partner with DEO and multiple teams to ensure data trust, discoverability, and AI-ready data foundations, balancing strategic priorities with