2 дня назад
Data Architect (AI and Supply Chain Insights)
130 700 - 205 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Architect (AI and Supply Chain Insights) (Data Architecture, AI, Supply Chain): Owning and evolving supply chain data products and designing scalable data models for reporting, analytics, machine learning, and AI with an accent on governance, data quality, metadata, and AI-ready design. Focus on translating business processes into enterprise data architectures, building reusable data products, and collaborating with engineers, data scientists, product owners, and business leaders.
Location: Spring, Texas, United States of America
Salary: $130,700–$205,200 USD annually, with additional bonus and/or equity opportunities for candidates in the United States.
Company
is a global technology company developing hardware, software, and enterprise technology solutions.
What you will do
- Own and evolve a portfolio of supply chain data products, ensuring certification, compliance, governance, and business adoption.
- Partner with business stakeholders to translate processes, data domains, and analytical needs into data strategies and architecture roadmaps.
- Design and maintain scalable conceptual, logical, and physical data models for reporting, analytics, machine learning, AI, and self-service consumption.
- Improve data product maturity through data quality, metadata management, master data management, governance, and AI-ready design.
- Collaborate with data engineers, data scientists, product owners, and business leaders to deliver scalable data solutions.
- Evaluate emerging AI technologies and modern data practices while promoting architecture excellence through mentoring and thought leadership.
Requirements
- Bachelor’s or master’s degree in computer science, information systems, data science, engineering, or a related field.
- 8+ years of experience in data architecture, data modeling, data management, analytics, or related disciplines.
- Experience owning or supporting data products and enterprise-scale data assets.
- Strong experience with enterprise data modeling, data architecture, data governance, data quality, metadata, and data warehousing.
- Experience working with business stakeholders and cross-functional teams, and supporting analytics, AI, machine learning, or data science initiatives.
- Knowledge of SQL, Python, Databricks, Microsoft Fabric or Azure Data Services, cloud data platforms, and data catalog or metadata solutions.
Culture & Benefits
- Health, dental, and vision insurance.
- Short-term and long-term disability, life insurance, employee assistance, and flexible spending accounts.
- 4–12 weeks of fully paid parental leave based on tenure.
- 11 paid holidays plus flexible paid vacation and sick leave.
- Opportunity to shape the supply chain data ecosystem and enable self-service analytics and AI capabilities across the enterprise.
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