AI Solutions Specialist

CSIPaducah, KY

About The Position

The AI Analyst II independently manages AI use case intake, workflow analysis, and backlog coordination to help the organization identify, prioritize, and operationalize high-impact AI opportunities. This role partners directly with stakeholders across business, product, and operations teams, translates needs into clear solution requirements, and supports scalable AI execution through strong documentation, prioritization, and adoption tracking. Depending on business needs and assignment, some to all of the responsibilities below may apply.

Requirements

  • Bachelor's degree in Business, Operations, Information Systems, Analytics, Computer Science, or a related field, or equivalent work experience
  • 3–5 years of experience in business analysis, product operations, process improvement, transformation, or related roles
  • Experience translating business needs into technical or semi-technical requirements
  • Experience managing work intake or backlogs
  • Experience supporting cross-functional delivery
  • Strong stakeholder management skills
  • Strong prioritization skills
  • Strong communication skills
  • Ability to operate independently in a fast-evolving environment
  • Applicants must be authorized to work in the United States without the need for sponsorship now or in the future.

Nice To Haves

  • Familiarity with AI ecosystems
  • Familiarity with prompt or workflow libraries
  • Familiarity with onboarding and enablement activities
  • Familiarity with adoption or ROI tracking

Responsibilities

  • Independently evaluate, structure, and manage AI use case submissions, ensuring opportunities are clearly defined and aligned with business value, feasibility, and strategic priorities.
  • Serve as an intake point for new AI use case requests and assess alignment with organizational priorities
  • Translate department workflows, pain points, and goals into actionable AI use case specifications
  • Help prioritize requests across prompts, skills, connectors, agents, and application layers
  • Manage backlog items to ensure requirements, use cases, and dependencies are well documented and execution-ready
  • Maintain feature, function, workflow, and prompt documentation to support clarity, reuse, and continuous improvement
  • Support ongoing refinement of libraries and reusable AI assets that improve scalability and consistency
  • Interface directly with stakeholders to gather requirements, align priorities, and support rollout of AI-driven solutions
  • Contribute to onboarding and enablement efforts that help teams adopt AI tools and workflows effectively
  • Track, analyze, and report on adoption, usage, and performance indicators to identify expansion opportunities and friction points

Benefits

  • Eligibility for incentive awards based on both individual and business performance
  • Comprehensive range of benefits
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