Honda Motors

Data and Solution Architect

Honda Motors$100K — $130K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's in Computer Science, Information Systems, Data Engineering/Data Science, or related field.
  • 8+ years in data or solution architecture, enterprise data platforms, or analytics.
  • Experience with AI/ML and data-driven product initiatives.
  • Familiarity with federated governance or hub-and-spoke operating models.
  • Proficiency in data profiling and quality management.

Responsibilities

  • Lead design of data architectures for AI and advanced analytics.
  • Define AI-ready data models and analytics-ready data assets.
  • Ensure alignment of data platforms and AI tooling.
  • Govern Foundry Ontology layer as the semantic backbone for AI.
  • Establish and enforce data standards and metadata practices.
  • Architect data flows for AI POCs and experimentation environments.
  • Serve as an architecture authority and mentor for AI initiatives.

Benefits

  • Manager Lease Car Program with no cost to employee.
  • Industry-leading health benefit plans and paid time off.
  • Company-paid short-term and long-term disability insurance.
  • 401K plan with matching contributions and extras.
  • Relocation assistance available if eligible.
  • Education reimbursement for continued learning and professional development.
Full Job Description
Job Purpose

The Data and Solution Architect is responsible for defining, governing, and advancing the enterprise data architecture required to enable scalable, trusted, and responsible AI solutions in the AI Hub. This role ensures that data platforms, models, standards, and semantic structures are designed to support AI/ML, Generative AI, Agentic AI, experimentation (POCs), and production deployment, while aligning with enterprise data governance, security, and compliance requirements.

Key Accountabilities

AI-Ready Data Architecture & Design
  • Lead the design of logical, physical, and semantic data architectures to support AI, advanced analytics, GenAI and Agentic AI use cases
  • Define AI-ready data models, feature-oriented structures, and analytics-ready data assets aligned to enterprise data platforms
  • Ensure architectural alignment between data platforms, AI tooling, and MLOps pipelines
  • Support design and governance of the Foundry Ontology layer as the enterprise semantic backbone for AI use cases


Data Standards, Governance & Semantics
  • Work closely with Data Architecture and Governance teams, define and enforce data standards, metadata practices, naming conventions, and master/reference data patterns for AI use cases
  • Establish and maintain semantic consistency (business definitions, critical data elements, feature definitions) to enable explainable and reusable AI
  • Partner with Data Governance, Legal, and Compliance teams to ensure responsible and compliant AI data usage


AI Use Case Enablement & POC Support
  • Architect data flows and patterns supporting AI POCs, experimentation environments, and sandbox platforms
  • Guide data sourcing, profiling, and readiness activities for AI Data Scientists, Data and AI Engineers
  • Own the data architecture stage-gate process across POC, expanded pilot, and production phases; define and maintain AI-readiness scorecards to assess data asset maturity at each stage


Data Platform, Integration and Solution Architecture
  • Architect integrations across source systems, data platforms, analytics tools, and AI services
  • Evaluate and onboard new data sources and technologies to meet evolving AI requirements
  • Define reference architecture and architectural guardrails for cloud, hybrid, and global deployments
  • Lead/support solution architecture development for projects/products, where necessary


Collaboration, Review & Enablement
  • Serve as a data and solution architecture authority for AI-related initiatives and design reviews
  • Mentor junior architects, data engineers and provide architectural guidance to delivery teams
  • Contribute to AI Hub (COE), communities of practice, standards bodies, and architecture review forums


Qualifications, Experience, and Skills

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering/ Data Science, or related field
  • 8+ years of experience in data architecture, solution architecture, enterprise data platforms, or analytics architecture
  • Demonstrated experience supporting AI/ML, advanced analytics, or data-driven product initiatives
  • Experience operating in federated governance or hub-and-spoke operating models
  • Experience with data profiling and data quality management


Workstyle

  • This is an onsite job. One remote workday per week, may be possible with prior departmental approval.


Visa sponsorship issues

  • This position is not eligible for work visa sponsorship


What differentiates Honda and makes us an employer of choice?

Total Rewards:
  • Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
  • Regional Bonus (when applicable)
  • Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included)
  • Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
  • Paid time off, including vacation, holidays, shutdown
  • Company Paid Short-Term and Long-Term Disability
  • 401K Plan with company match + additional contribution
  • Relocation assistance (if eligible)

Career Growth:
  • Advancement Opportunities
  • Career Mobility
  • Education Reimbursement for Continued learning
  • Training and Development Programs

Additional Offerings:
  • Lifestyle Account
  • Childcare Reimbursement Account
  • Elder Care Support
  • Tuition Assistance & Student Loan Repayment
  • Wellbeing Program
  • Community Service and Engagement Programs
  • Product Programs

About Honda Motors

Honda Motors is a leading manufacturer of automobiles, motorcycles, and power equipment. The company was founded in 1948 by Soichiro Honda and has since grown to become one of the largest automotive companies in the world. Honda Motors is known for its innovative designs and commitment to sustainability, with a focus on developing environmentally friendly vehicles. The company operates in over 30 countries and has a strong presence in the United States, Japan, and Europe.
Learn more about Honda Motors
Size
204,035 employees
Market Cap
$41.8 billion
Industry
Net Income
$414.5 billion
Founded
1948
5 Year Trend
+0.8%
Revenue
$13,004.8 billion
NASDAQ

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