Novartis
Associate Director, Metadata and Semantics Lead
$153K–$283K
East Hanover +1 · Director · Full-time · Posted Sep 2, 2026
- Location
- East Hanover
Distant Employee - Distant Working Arrangement (DWA) (USA) - Experience
- 8+ years.
- Education
- Bachelor's degree in Data Management, Information Systems, Computer Science, Analytics, Engineering, or related field.
- Visa sponsorship
- Company will not sponsor visas for this position.
About the job
Leads enterprise metadata strategy and operations to make data assets trusted, discoverable, reusable, and ready for artificial intelligence.
What you'll do
- Define metadata standards, frameworks, policies, and operating practices; manage metadata capture, curation, validation, and lifecycle.
- Set metadata requirements and validate readiness for certified data products and AI-ready datasets; ensure documentation of ownership, lineage, classifications, quality rules, and business definitions.
- Automate metadata processes, resolve metadata issues, and advance data catalog discoverability and adoption in partnership with governance, engineering, modeling, quality, and analytics teams.
What they ask for
- 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 have
- Advanced degree or professional certification in data management, data governance, cloud technologies, or data architecture.
- Experience in complex, regulated, or enterprise-scale data environments.
Pay
$152,600 - $283,400 per year (base salary); $152,600.00 - $283,400.00 (base salary)
AI focus
Establishes metadata requirements for AI-ready datasets and supports scalable data capabilities for artificial intelligence.
Model-written summary · the original posting is authoritative