Senior Enterprise Data Architect: Strategy, AI & Analytics

Washington State Department of Licensing; Olympia (WA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Washington State Department of Licensing (DOL) is seeking an Enterprise Data Architect to lead data strategy, architecture, standards, and practices across the agency. You will design and guide data solutions that support analytics, AI, machine learning, and critical decision-making.

This senior role does not supervise staff but exerts significant influence across the agency by establishing standards, providing technical direction, and advancing data architecture and data science capabilities.

Qualifications

• Eleven or more years of progressively responsible experience in enterprise data architecture and data governance.
• Experience designing enterprise data architectures, data models, and data standards.

Responsibilities

• Develop and maintain enterprise data architecture framework, reference architectures, data models, standards, and roadmaps.
• Design scalable data solutions and data pipelines supporting analytics, AI, and ML.
• Establish enterprise practices for data governance, quality, metadata, security, and lifecycle management.
• Translate business needs into technical data designs and reusable enterprise solutions.
• Apply advanced data science methods to support enterprise data solutions and evidence-based decisions.
• Advise leadership and governance groups on complex data decisions.

Skills

Enterprise data architecture

Education

Bachelor's degree in a relevant field

Master's degree in a relevant field

Tools

TOGAF certification

DAMA certification

Job description

Washington State Department of Licensing (DOL) is seeking an Enterprise Data Architect to lead data strategy, architecture, standards, and practices across the agency. You will design and guide data solutions that support analytics, AI, machine learning, and critical decision-making.

This senior role does not supervise staff but exerts significant influence across the agency by establishing standards, providing technical direction, and advancing data architecture and data science capabilities.