Enterprise Data Product Director - AI-Ready Foundations

U014 (FCRS = US014) Novartis Pharmaceuticals Corporation

East Hanover (NJ)

On-site

USD 186,000 - 345,000

Full time

7 days ago
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Job summary

Novartis Pharmaceuticals Corporation seeks a Director to lead product strategy and governance for enterprise data foundations, including reference data, master data, metadata, and standards. You will define the vision, roadmaps, and adoption plans, partnering with the Data Enablement Organization to ensure scalable, AI-ready data products used by analytics, business, and AI initiatives.

The role demands 10+ years in data products with strong leadership, cross-functional influence, and ability to

Qualifications

  • Bachelor's degree required; Master/MS or MBA strongly preferred.
  • Minimum 10+ years in pharma/healthcare/tech/data/analytics or consulting with data products focus.
  • Minimum 5+ years in reference data, master data, metadata management, data governance, and AI-ready data foundations.

Responsibilities

  • Own product strategy, roadmap, prioritization, and lifecycle for Reference Data, Master Data, Metadata, Standards.
  • Embed business meaning, semantic definitions, reusable measures, standards, metadata, and lineage into product design.
  • Collaborate with DEO to translate strategy into executable plans and scalable enterprise products.
  • Coordinate with business, analytics, technology, governance and operations to prioritize high-value capabilities.
  • Drive product adoption, stakeholder engagement, and continuous improvement based on feedback.
  • Establish product standards, governance routines, intake processes, service expectations, and value measures.

Skills

Product strategy
Roadmap planning
Cross-functional leadership
Stakeholder engagement

Education

Bachelor's degree in related field
Master of Science or MBA preferred

Job description

Novartis Pharmaceuticals Corporation seeks a Director to lead product strategy and governance for enterprise data foundations, including reference data, master data, metadata, and standards. You will define the vision, roadmaps, and adoption plans, partnering with the Data Enablement Organization to ensure scalable, AI-ready data products used by analytics, business, and AI initiatives.

The role demands 10+ years in data products with strong leadership, cross-functional influence, and ability to

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