U

University of Washington

Public research university in Seattle, WA

Digital Solutions Specialist

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSeattle, WA, USA$108k - $132k /yrIn-person

About the Job

Requirements

  • A bachelor's degree in information systems, business, public administration, data analytics, computer science, or a related field, or an equivalent combination of education and experience.
  • At least 3 years of relevant experience in research administration, technology integration, data and reporting, or business analysis.

Responsibilities

  • Design, build, and maintain digital solutions to improve the efficiency and reliability of research administration services.
  • Develop workflow automations using Microsoft Power Automate and other approved platforms.
  • Translate defined business requirements into functional workflows, applications, dashboards, and digital tools.
  • Prototype, test, deploy, document, and maintain solutions through an iterative development lifecycle.
  • Identify opportunities to replace repetitive manual processes with sustainable, scalable solutions.
  • Define and request improvements to existing tools and new tools.
  • Develop and responsibly implement AI-enabled tools that improve access to information, decision support, and administrative services.
  • Build and configure UW-supported AI agents for defined research administration use cases.
  • Develop agent instructions, knowledge sources, workflows, and guardrails in partnership with subject matter experts.
  • Test AI outputs for accuracy, reliability, usability, and appropriate escalation to human expertise.
  • Monitor deployed solutions and refine them based on performance, user feedback, and evolving requirements.
  • Manage small-scale technical projects, including gathering business requirements and authoring specifications.
  • Configure solutions that connect approved platforms, data sources, and business processes.
  • Develop reusable components and approaches that can scale across services and user groups.
  • Partner with institutional technology teams when solutions require enterprise integrations, advanced development, or system-level changes.
  • Maintain appropriate technical and operational documentation for supported solutions.
  • Evaluate new information, system products, or services as opportunities arise and suggest changes to existing products or services to better aid the end user.
  • Develop Power BI reports and dashboards that translate operational data into useful service information.
  • Automate recurring reporting and data preparation where appropriate.
  • Collaborate with business owners to define meaningful measures and reporting requirements.
  • Support monitoring of digital solution adoption, performance, and effectiveness.
  • Manage relationships with external stakeholders and internal IM groups.
  • Collaborate with Business Analyst and User Experience colleagues to define problems, requirements, and user needs before development.
  • Engage users in prototyping, testing, and evaluation of proposed solutions.
  • Adapt deployment, communication, and support approaches for different user populations and levels of technical experience.
  • Incorporate user feedback and service data into iterative improvements.
  • Advise clients on best practices.
  • Evaluate emerging capabilities for potential research administration applications.
  • Promote appropriate standards for solution documentation, maintainability, accessibility, and responsible AI use.
  • Share reusable approaches, lessons learned, and technical knowledge with colleagues.
  • Contribute to digital service planning and prioritization.

Desired Qualifications

  • Experience designing, configuring, or implementing technology-enabled business solutions.
  • Experience translating business or user requirements into functional digital solutions.
  • Ability to learn and apply low-code/no-code, automation, analytics, or AI platforms.
  • Ability to manage multiple solution-development efforts from concept through implementation.
  • Analytical and problem-solving skills, documentation skills, and communication skills.
  • Ability to collaborate effectively with technical specialists, business stakeholders, and end users.
  • Experience with Microsoft Power Platform, including Power Automate and Power BI.
  • Experience developing or configuring AI assistants, agents, copilots, or related generative AI applications.
  • Experience with API-based integrations, structured data, connectors, or enterprise information systems.
  • Familiarity with user-centered design, business process analysis, Agile or iterative development methods.
  • Experience working in higher education, research administration, or another complex regulated environment.
  • Familiarity with data governance, information security, accessibility, and responsible AI practices.

About the Company

University of Washington

Public research university in Seattle, WA

The University of Washington is a public research university founded in 1861, with campuses in Seattle, Bothell, and Tacoma. It provides undergraduate, graduate, and professional education alongside research and public service.

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