Data & AI Solution Architect

UHA • Honolulu, HI

5h • Hybrid

About The Position

The Data & Artificial Intelligence Solution Architect is responsible for the design, development, and operationalization of data, analytics, and AI solutions, including data models, pipelines, and reporting solutions. This role owns end-to-end technical vision and execution across UHA’s data and AI ecosystem and translates business strategy into secure, scalable, and production-grade solutions. This position is both strategic and hands-on, responsible for implementing critical components, setting enterprise standards, and serving as the technical escalation point for data and AI initiatives.

Requirements

• Bachelor’s degree in Computer Science, Engineering, MIS, or related field (or equivalent experience)
• 7+ years of experience in data analytics, data engineering, data governance, or related areas
• Experience designing and implementing data pipelines and data models
• Strong problem-solving and analytical skills
• Strong communication and stakeholder collaboration skills

Nice To Haves

• Experience in healthcare or regulated industries
• Experience with ETL/ELT tools and data warehousing concepts
• Strong SQL development skills (T-SQL, stored procedures, optimization)
• Experience with BI tools (Power BI, Tableau, Qlik, etc.)
• Experience with cloud platforms (Azure, AWS, Google Cloud, Snowflake)
• Experience with scripting/programming (Python, PowerShell, etc.)
• Knowledge of data governance, Agile, and SDLC practices

Responsibilities

• Define and lead enterprise data and AI architecture, standards, and roadmaps
• Translate business needs into scalable technical solutions
• Lead architecture reviews and design decisions
• Design and implement data pipelines, data models, and integrations
• Build and support AI/ML and analytics solutions
• Develop reusable frameworks and production-ready solutions
• Ensure code quality and engineering best practices
• Develop and maintain ETL/ELT pipelines and reporting solutions
• Ensure data quality, reliability, and availability
• Maintain and enhance existing data assets
• Support data governance, documentation, and standardization
• Lead migration from legacy systems to modern platforms
• Reduce redundancy and improve data architecture
• Design and implement AI/ML and GenAI solutions
• Support model lifecycle, governance, and monitoring
• Partner with business to deliver high-value AI use cases
• Partner with stakeholders to define requirements and KPIs
• Evaluate vendors and support build vs. buy decisions
• Serve as a bridge between business and technical teams
• Ensure data security, privacy, and regulatory compliance
• Collaborate with IT and Security teams

Benefits

• 100% for your family's medical insurance
• 20 days of paid personal time off during your first year
• Competitive compensation
• Excellent benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior