About this opportunity
Honda South Carolina Manufacturing lists this Data and Solution Architect opportunity in marysville, Ohio. Review the employer’s description below for duties, qualifications and application requirements.
Job description
What Makes a Honda, Is Who Makes a Honda
Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”
We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.
If your goals and values align with Honda’s, we want you to join our team to Bring the Future!
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
Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
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Worksite address
marysville, OH, 43041, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.