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Van Buren County

Digital Innovation Specialist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timePaw Paw, MI, USA$72.1k - $87.9k /yrIn-person

About the Job

Requirements

  • A bachelor's degree in public administration, business, information technology, data science, education, GIS, or a related field, or an equivalent combination of education, training, and relevant experience.
  • Demonstrated ability to apply artificial intelligence tools, configure practical solutions, build and test workflows, and evaluate results, demonstrated through employment, independent projects, or a portfolio.
  • Ability to analyze operational needs, select appropriate approaches, organize projects, and carry improvements through implementation and sustained use.
  • Strong communication, facilitation, and training skills, including explaining unfamiliar concepts to nontechnical audiences and supporting organizational change.
  • Working understanding of artificial intelligence limitations, verification, data quality, confidentiality, and responsible use, with sound judgment about when specialized review is needed.
  • Curiosity, adaptability, and the ability to learn and critically evaluate changing tools and methods.
  • Employment is contingent on passing a background check, criminal history check, and drug screen.
  • Applicants must complete the County application form.

Responsibilities

  • Work with departments to understand operations, map workflows, and prioritize improvements based on service value, feasibility, risk, and available resources; recommend the approach best suited to each need.
  • Evaluate emerging artificial intelligence and automation tools through hands-on testing, assessing accuracy, usability, accessibility, cost, data handling, and fit with county operations.
  • Configure approved tools and build, test, document, and refine practical workflows, reusable prompts, knowledge resources, and prototypes with department users.
  • Lead pilots with clear objectives, baseline measures, evaluation criteria, and appropriate human review; recommend expansion, revision, or discontinuation based on results.
  • Train and coach employees, develop practical guidance, and support departmental champions; help staff verify outputs, address adoption barriers, and sustain effective use.
  • Define requirements and user acceptance criteria for projects needing custom development or integrations; coordinate scope, timing, and developer capacity with the Director and software engineer/developer before committing to delivery; lead user testing and adoption.
  • Coordinate privacy, security, records handling, and policy reviews with IT and other designated staff; help departments identify authoritative information and improve its quality for artificial intelligence use.
  • Before rollout, establish ongoing ownership and support for each solution, including workflows built without custom code; assign responsibility for access management, troubleshooting, updates, documentation, and continuity.
  • Track adoption, service quality, accuracy, staff time, and costs; distinguish demonstrated results from estimates; share progress, lessons, and reusable materials with leadership and DICE partners.

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