7 часов назад
Executive Director, Enterprise Data (AI)
255 000 - 424 900$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Executive Director, Enterprise Data (AI): Building enterprise data foundations, semantic layers, and knowledge graph infrastructure that make scientific and clinical data ready for AI at scale with an accent on governance, quality, accessibility, and regulatory compliance. Focus on designing federated data ecosystems, maintaining GxP-compliant pipelines, and securing enterprise data across business, science, legal, and regulatory functions.
Location: Onsite at one of the Tri-State locations: Sleepy Hollow, Tarrytown, or Armonk, NY; Warren, NJ; or Cambridge, MA
Salary: $255,000–$424,900 annually
Company
is a biotechnology company that discovers, develops, and commercializes medicines for serious diseases.
What you will do
- Enforce enterprise data quality standards and translate policy into operating procedures.
- Lead master data management, data cataloging, and enterprise data accessibility.
- Own the semantic layer, business glossary, and taxonomy to maintain consistent definitions.
- Develop knowledge graph infrastructure and federated, AI-ready data ecosystems.
- Maintain GxP-compliant data standards and audit-ready regulated pipelines.
- Set enterprise-wide data privacy and security standards.
Requirements
- Bachelor's degree in a related field.
- 17+ years of experience in enterprise data management, data governance, or data architecture.
- Hands-on expertise in data governance, master data management, and metadata management.
- Experience leading federated data architecture and semantic-layer initiatives.
- Knowledge of vector databases, knowledge graphs, and RAG.
- Experience collaborating with distributed engineering, business, scientific, legal, and regulatory teams.
Culture & Benefits
- Inclusive workplace with equal employment opportunity.
- Comprehensive total rewards package may include annual bonuses, equity awards, retirement benefits, health insurance, paid time off, and family support.
- Background checks may verify identity, work authorization, and education where legally permitted.
- Roles are generally performed together onsite, with expectations confirmed by the recruiter and hiring manager.
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