Associate Director, Metadata and Semantics Lead
About The Position
Data is transforming how healthcare innovates, and metadata is the foundation that makes trusted, discoverable, and AI-ready data possible. As Associate Director, Metadata Lead, you will play a pivotal role in shaping Novartis' enterprise data ecosystem by driving metadata excellence across certified data products, data models, and critical business assets. Working with cross-functional leaders in data governance, engineering, quality, and analytics, you will help ensure our data is trusted, transparent, reusable, and ready to accelerate breakthrough insights that ultimately improve patient lives. This is an exciting opportunity to influence enterprise-wide data strategy while building scalable capabilities that power the future of data and artificial intelligence at Novartis.
Requirements
- Bachelor's degree in Data Management, Information Systems, Computer Science, Analytics, Engineering, or related field.
- 8+ years of experience in metadata management, data governance, data management, data catalog implementation, data stewardship, data architecture, or related data roles.
- Experience supporting enterprise data catalog, business glossary, lineage, data product, or data governance programs.
- Experience partnering with business and technical stakeholders to define metadata standards, capture requirements, and improve data discoverability.
Nice To Haves
- Advanced degree or professional certification in data management, data governance, cloud technologies, or data architecture.
- Experience in complex, regulated, or enterprise-scale data environments
Responsibilities
- Define and advance enterprise metadata standards, frameworks, policies, and operating practices.
- Lead metadata capture, curation, validation, and lifecycle management across enterprise data assets.
- Establish metadata requirements for certified data products and artificial intelligence ready datasets.
- Ensure accurate documentation of ownership, lineage, classifications, quality rules, and business definitions.
- Partner with data modeling teams to align metadata with enterprise data structures and relationships.
- Collaborate with data governance and stewardship teams to improve data transparency and trust.
- Drive automation of metadata ingestion, lineage capture, and catalog synchronization processes.
- Support data product certification through validation of metadata completeness and readiness standards.
- Lead metadata issue resolution, root cause analysis, remediation tracking, and stakeholder communications.
- Champion enterprise data discoverability, reuse, and adoption of data catalog capabilities.
Benefits
- health, life and disability benefits
- 401(k) with company contribution and match
- generous time off package including vacation, personal days, holidays and other leaves
- performance-based cash incentive
- eligibility to be considered for annual equity awards
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
