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Data Architect, AI and Supply Chain Insights , Texas, Data & Information Technology

Job in Spring, Harris County, Texas, 77391, USA
Listing for: HP
Full Time position
Listed on 2026-08-28
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Warehousing, Data Science Manager
Salary/Wage Range or Industry Benchmark: 130700 - 205200 USD Yearly USD 130700.00 205200.00 YEAR
Job Description & How to Apply Below
Position: Data Architect, AI and Supply Chain Insights Spring, Texas, United States of America Data & Information Technology

Data Architect, AI and Supply Chain Insights

Description -

Job Summary

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.

A strong understanding of data engineering concepts is foundational and required, including how data is acquired, transformed, and delivered across modern data platforms. The primary focus of the role is on data architecture, data modeling, data product maturity, business engagement, and AI ready design.

Success is measured by the ability to create scalable, business ready data products that enable self service analytics, advanced insights, continuously leveraging the evolving AI technologies for our Supply Chain Stakeholder.

The ideal candidate combines deep expertise in data architecture and modeling with business acumen, critical thinking, problem solving and a passion for innovation. They partner with business leaders, Data Engineers, Data Scientists, Product Owners, and AI practitioners to transform complex business challenges into data driven solutions

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.
Required Skills
  • Data Architecture & Data Products
  • Data Architecture
  • Enterprise Data Modeling (Required)
  • Data Product Management & Lifecycle
  • Data Governance
  • Data Quality
  • Master & Reference Data Management
  • Metadata Management
  • Data Warehousing
  • Data Management
  • Data Strategy
Technology
  • SQL
  • Python
  • Databricks
  • Microsoft Fabric or Azure Data Services
  • Cloud Data Platforms
  • Data Catalog & Metadata Solutions
AI & Advanced Analytics
  • Artificial Intelligence
  • Generative AI
  • Machine Learning Concepts
  • Data Science Collaboration
  • AI Ready Data Design
  • Analytical Thinking
Business & Leadership
  • Business Process Analysis
  • Supply Chain Domain Knowledge
  • Strategic Thinking
  • Critical Thinking
  • Problem Solving
  • Stakeholder Management
  • Communication and Influence
  • Product Mindset
  • Leadership
Impact

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