aidata engineerings3enterprise softwaredata qualitydata governancedata productssftpparquetschema management
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$208к$230кмедиана$281к
50 в выборке
На СНГ рынке: $11к/мес ($11к - $11к)
87
Хорошая вакансия
развернуть
Зона ответственности руководителя описана чётко: это развитие корпоративных data-продуктов с заметным влиянием на здравоохранение. При этом важными ограничениями могут стать опыт в фарме и обязательное очное финальное интервью.
Кликните для подробной информации
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Director, Software Engineering (Healthcare): Leading the Data Streams engineering organization and building a configurable DAM platform for HCP, HCO, and clinical trial data with an accent on productization, schema governance, and reliable enterprise delivery. Focus on designing governed data pipelines, enforcing QA and release standards, resolving complex customer and schema tradeoffs, and developing engineering managers.
Location: New York, United States; hybrid workplace. An in-person final interview is required and may require travel depending on location.
Company
hirify.global provides healthcare information and data products that use data and AI technology to support informed doctor interactions, healthcare operations, medical insights, and equitable drug development.
What you will do
Lead the Data Streams engineering organization responsible for quarterly HCP, HCO, and clinical trial data feed releases.
Drive the DAM platform buildout across canonical schemas, entity resolution, S3/SFTP delivery, onboarding UI, alerting, observability, CSV formats, mapping, and enrichment.
Move customer onboarding from bespoke engineering to a configurable, template-driven product model.
Own data governance, release cadence, data dictionary contracts, classifications, QA gates, and hotfix policy.
Partner with Product, Data Feeds, Commercial, and Customer Success on schemas, data sources, delivery roadmaps, customer contracts, and onboarding timelines.
Build and develop the engineering organization through hiring, coaching, performance management, incident response, root cause analysis, and manager development.
Requirements
Proven ownership of a data product delivered to external enterprise customers, including its schema, delivery contract, and customer relationship.
Experience moving bespoke per-customer engineering to a configurable, template-driven platform.
Deep understanding of enterprise data delivery, schema governance, data dictionaries, versioning, and data-product release management.
Expertise with Parquet, CSV, Avro, S3, and SFTP delivery.
Experience with data-delivery QA frameworks, schema conformance, completeness validation, value-integrity checks, and pass/fail-with-reasons reporting.
Pharma or life sciences domain knowledge, including how organizations consume HCP, HCO, clinical trial, and other external data feeds.
Experience managing managers and developing engineering managers as direct reports.
Strong cross-functional communication in commercial conversations, data contract discussions, and executive roadmap reviews.
Ability to make and communicate tradeoffs between schema changes, customer commitments, delivery speed, and governance discipline.
Culture & Benefits
Hybrid work environment based in New York.
Work focused on accuracy, governance, delivery reliability, customer trust, and patient impact.
Inclusive workplace committed to equal opportunity and diversity.
Reasonable accommodations are available for applicants with disabilities.
Hiring process
All candidates must participate in an in-person final interview; travel may be required depending on location.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →