Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
Мало
$130к-242к/год
$180к$220кмедиана$250к
По похожим ролям (49) ~ $220к/год
На СНГ рынке: $5.3к/мес ($4.5к - $6.5к)
75
Хорошая вакансия
развернуть
Это ответственная руководящая роль в специализированном промышленном секторе, однако зарплатная вилка находится чуть ниже медианы рынка для данного уровня позиции.
Кликните для подробной информации
Низкая зарплатаРабота в офисеСовременный стекЧеткие задачиТрендовый домен
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Leader of AI & Data Platforms (Manufacturing): Building and operationalizing governed AI, data platforms, pipelines, and self-service data products for manufacturing operations with an accent on Palantir Foundry, Microsoft Purview, data governance, and production reliability. Focus on leading hands-on AI engineering, integrating SCADA/OT data, designing enterprise data architecture, and delivering measurable productivity and supply-chain improvements.
Location: Fully on-site in Chandler, Arizona or Hollister, California; U.S. citizenship is required for employment.
Salary: $130,200–$241,800 per year.
Company
hirify.global is a public precision-technology company whose PacSci EMC operating company develops energetic materials, devices, and subsystems for military and commercial applications.
What you will do
Build, deploy, and sustain production AI and data solutions that improve productivity and business decision-making.
Lead technical architecture, data readiness, and implementation support for the Palantir Foundry initiative.
Establish enterprise data warehousing, stewardship, lifecycle management, ownership, access controls, lineage, and auditability.
Lead and coach a small team across data engineering, architecture, Power BI, and Power Platform development.
Develop production-grade pipelines, transformations, data models, ontologies, integrations, and self-service data products.
Partner with manufacturing specialists on SCADA/OT integrations, anomaly detection, dashboards, operational signals, and measurable business outcomes.
Requirements
U.S. citizenship is required because of U.S. Government contract requirements and export-control obligations.
At least 5 years of experience in analytics, data platforms, AI enablement, or data governance with hands-on delivery.
Experience building, deploying, and supporting production AI and data solutions, including production-grade pipelines and operational safeguards.
Strong proficiency in SQL and Python/PySpark, with experience in data modeling, orchestration, and observability.
Experience with Microsoft Purview and enterprise data governance, stewardship, or lifecycle management.
Ability to lead technical work, coach colleagues, influence executives, and communicate technical concepts to non-technical audiences.
Nice to have
Experience with Palantir Foundry pipelines, ontology, and application development.
Background in aerospace, defense, or other highly regulated industries, including ITAR, FAR/DFARS, DCAA, CUI, or FedRAMP environments.
Knowledge of SCADA/OT, ERP, MES, PLM, and manufacturing execution workflows.
Experience delivering AI or data capabilities in a startup or resource-constrained environment.
Familiarity with Lean principles and structured problem solving.
Culture & Benefits
Hands-on role combining technical execution, team development, and executive-level influence.
Participation in the hirify.global Technology & Growth Council, contributing to architecture reviews, innovation, standards, and technology direction.
Work focused on mission-critical military, aerospace, commercial, and industrial applications.
Equal-opportunity workplace with a stated commitment to inclusion, accommodation, and a harassment-free environment.
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 →