Data Architect, AI and Supply Chain Insights

Hewlett Packard Enterprise; Houston (TX); On-site; USD 131,000 - 205,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Parental leave

Paid holidays

Paid vacation & sick leave

Job summary

Hewlett Packard Enterprise is seeking a seasoned Data Architect for AI and Supply Chain Insights to own and evolve a portfolio of data products and scalable data models. The role partners with business stakeholders to translate needs into data strategies and architecture roadmaps, driving adoption and value across analytics, AI, and self-service capabilities.

The ideal candidate will have 8+ years in data architecture and modeling, with strong governance, data quality, and AI/machine learning

Qualifications

• 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.

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.

Skills

Data Architecture & Data Products

Data Product Management & Lifecycle

Data Governance

Data Quality

Master & Reference Data Management

Metadata Management

Data Warehousing

Data Management

Data Strategy

SQL

Python

Databricks

Microsoft Fabric

Azure Data Services

Data Catalog

AI & Advanced Analytics

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

Education

Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Engineering

Tools

Databricks

Microsoft Fabric

Azure Data Services

Data Catalog

Metadata Solutions

Job description

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

Disclaimer

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Salary

The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

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
• Additional flexible paid vacation and sick leave (US benefits overview)

Compensation and Benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation

Equal Opportunity Employer (EEO)

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

Employer Branding

You want to reshape the way the world works. So do we. You’re looking for more than just a job; you’re looking to make a difference. That means creating something new. Something that matters. Something that changes how the world works for the better. A career at HP can help you build the tomorrow you want. Let’s grow together.