Data Architect, AI and Supply Chain Insights
HP
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Benefits offered by this job
Job summary
HP is seeking a Supply Chain Data Architect to own and evolve Data Products across the supply chain. You will design scalable data models, ensure governance and data quality, and enable self-service analytics, AI, and ML use cases across the enterprise.
The ideal candidate combines deep data architecture expertise with business insight, collaborating with Data Engineers, Data Scientists, Product Owners, and stakeholders to translate complex requirements into scalable data solutions and deliver
Qualifications
- 8+ years of experience in Data Architecture 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.
- Strong focus on governance and data quality.
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.
- Partner with business stakeholders to understand processes, data domains, and analytical needs, translating requirements into data strategies and roadmaps.
- Design and maintain scalable conceptual, logical, and physical data models for reporting, analytics, AI, ML, and self-service consumption.
- Drive Data Product maturity through architecture best practices, data quality, metadata management, governance, and AI-ready design principles.
- Collaborate with Data Engineers, Data Scientists, Product Owners, and business leaders to deliver scalable data solutions and accelerate insight generation.
- Evaluate and leverage emerging technologies and AI capabilities to improve outcomes and promote architecture excellence.
Skills
Education
Tools
Job 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.
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.
- 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
- 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.
- 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
- SQL
- Python
- Databricks
- Microsoft Fabric or Azure Data Services
- Cloud Data Platforms
- Data Catalog & Metadata Solutions
- Artificial Intelligence
- Generative AI
- Machine Learning Concepts
- Data Science Collaboration
- AI Ready Data Design
- Analytical Thinking
- Business Process Analysis
- Supply Chain Domain Knowledge
- Strategic Thinking
- Critical Thinking
- Problem Solving
- Stakeholder Management
- Communication and Influence
- Product Mindset
- Leadership
This role helps enable the current and shape the future of the Supply Chain data ecosystem by ensuring data products are trusted, governed, scalable, and optimized for business consumption, advanced analytics, machine learning, and AI initiatives. Success in this role is measured not only by sound architecture, but by the ability to create highly reusable, business aligned data products that accelerate insights, enable self service analytics, and power next generation AI capabilities across the enterprise.
- 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.
The pay range for this role is $147,050 to $230,850 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.
HP offers a comprehensive benefits package for this position, including:
- 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)
The 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.
Data & Information Technology
Full time
No shift premium (United States of America)
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry
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