Associate Director, Enterprise Information Architecture (Life Sciences)
Контакты
143 700 - 193 700$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
aidata modelingdatabricksdata managementcloud platformsdata architecturedata governancemaster data management
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$144к-194к/год
$190к$210кмедиана$240к
По похожим ролям (50) ~ $210к/год
72
Хорошая вакансия
развернуть
Обязанности описаны чётко, а работа связана с современной архитектурой данных в фармацевтике, но зарплата ниже рыночного ориентира и снижает привлекательность предложения.
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Ниже рынкаСовременный стекПонятные задачиВажная сфера
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Associate Director, Enterprise Information Architecture (Life Sciences): Scaling enterprise information architecture and delivering governed, reusable data products for clinical operations, safety, regulatory, and R&D decision-making with an accent on data modeling, data governance, MDM/RDM, and modern data platforms. Focus on operationalizing medallion architecture, building semantic models and knowledge graphs, and enabling AI-ready data assets across enterprise domains.
Location: Remote (US)
Salary: $143,700–$193,700 annually
Company
hirify.global is a life sciences company focused on developing more affordable medicines and fighting cancer.
What you will do
Partner with the Senior Director to scale enterprise information architecture frameworks, standards, data domains, subdomains, and canonical data models.
Provide architectural leadership for strategic data programs across Clinical Operations, Safety, Regulatory, Biometrics, and other enterprise domains.
Translate business requirements into scalable data products and end-to-end data solutions for analytics and operational use cases.
Guide adoption of common data models, semantic layers, architecture patterns, and Bronze, Silver, and Gold data layers.
Create and review data models, enforce data modeling standards, and develop semantic modeling and context engineering frameworks.
Support trusted, governed, AI-ready data assets, including knowledge graphs, semantic models, and advanced analytics capabilities.
Requirements
Bachelor’s or Master’s degree in Information Science, Computer Science, Data Management, Life Sciences, or a related field.
At least 8 years of experience in data architecture, data management, or analytics within the life sciences or pharmaceutical industry.
Experience with enterprise-scale data and analytics initiatives and Clinical Development or R&D data domains.
Strong understanding of data lakehouse, data mesh, and medallion architectures, with hands-on Databricks and cloud platform experience across Azure, AWS, or GCP.
Familiarity with MDM/RDM, data governance and catalog tools, data quality frameworks, metadata management, lineage, SQL, and data modeling.
Understanding of GxP and regulatory requirements, plus strong stakeholder management, communication, and cross-functional collaboration skills.
Culture & Benefits
Values include Patients First, Driving Excellence, Bold Ingenuity, and Collaborative Spirit.
Medical, dental, vision, life insurance, paid time off, wellness, and FSA/HSA benefits.
401(k) plan and eligibility for discretionary equity awards and the Employee Stock Purchase Plan.
Annual bonus eligibility for non-commercial roles.
Equal opportunity employment with reasonable accommodation available during the application process.
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