Description
We are seeking a Supply Chain Data Architect who combines strong data architecture expertise with a data product mindset. The role is responsible for owning and evolving a portfolio of Data Products, designing scalable and reusable data models, and ensuring data assets are trusted, governed, and optimized for reporting, analytics, Data Science, Machine Learning, and AI use cases.
The successful candidate will work closely with business stakeholders to understand processes, priorities, and opportunities, translating them into data strategies and architecture solutions that maximize business value and adoption.
Responsibilities
- Own and evolve a portfolio of Supply Chain Data Products, ensuring they are certified, compliant, governed, and aligned to the latest Data Governance standards while maximizing business value and adoption.
- Partner with business stakeholders to understand business processes, data domains, and analytical needs, translating requirements into data strategies, architecture roadmaps, and product enhancement plans.
- Design and maintain scalable conceptual, logical, and physical data models, ensuring data assets are structured, documented, and optimized for reporting, analytics, AI, machine learning, and self-service consumption.
- Drive Data Product maturity through architecture best practices, data quality, metadata management, governance, master data management, and AI-ready design principles.
- Collaborate with Data Engineers, Data Scientists, Product Owners, and business leaders to deliver scalable data solutions, accelerate insight generation, and increase the value of enterprise data assets.
- Evaluate and leverage emerging technologies, AI capabilities, and modern data practices to improve business outcomes, strengthen the data ecosystem, and promote architecture excellence across the organization through mentoring and thought leadership.
Education & Experience
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Engineering, or 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.
- Experience working directly with business stakeholders and cross-functional teams.
- Experience supporting analytics, AI, machine learning, or data science initiatives.
- Experience translating business capabilities and processes into scalable data models and architectures.
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Long-term/short-term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Generous time off policies, including 4-12 weeks fully paid parental leave based on tenure, 11 paid holidays, and additional flexible paid vacation and sick leave.