Data and Solution Architect
Honda · Marysville, Ohio ·
- Category
- Architecture
- Experience
- 8+ years
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.