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AI Workflow Optimization Lead

Job in Springfield, Sangamon County, Illinois, 62777, USA
Listing for: Horace Mann
Full Time position
Listed on 2026-05-23
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Leads the design and optimization of AI-enabled business workflows across key functions such as underwriting, claims, and servicing. This role drives process transformation by identifying AI opportunities, defining requirements, and ensuring measurable improvements in efficiency, cost, and performance.

Requirements & Workflow Definition
  • Translate business problems into detailed functional and non-functional requirements for AI-enabled solutions
  • Define workflow components including inputs, outputs, decision logic, exception handling, escalation paths, and control mechanisms
  • Establish human + AI interaction models including decision support vs. automation, confidence thresholds, review processes, and override rules
  • Partner with Product, Engineering, and Data Science teams to ensure requirements are complete, testable, and aligned to implementation capabilities
Data Definition & Readiness
  • Define and document data requirements for AI-enabled workflows, including sourcing, structure, lineage, and usage
  • Assess data availability, completeness, and fitness for purpose in partnership with data and technology teams
  • Identify and prioritize data gaps, enrichment opportunities, and remediation actions required to support AI solutions
  • Ensure alignment with data governance, privacy, and regulatory requirements
  • Support definition of training, validation, and monitoring datasets in collaboration with Data Science
AI Performance & Continuous Optimization
  • Define and implement AI Control Plans including performance metrics, thresholds, monitoring requirements, and escalation protocols
  • Aggregate and synthesize performance metrics across model, system, and operational layers (e.g., model accuracy, system reliability, workflow throughput, exception rates)
  • Translate technical and operational performance into business insights and measurable impact
  • Identify performance gaps and drive continuous optimization of AI-enabled workflows, including threshold tuning, workflow redesign, and human-in-the-loop adjustments
  • Ensure data quality and data drift considerations are incorporated into ongoing performance evaluation
  • Serve as a bridge between business, product, data, and technology teams to align on AI workflow design and execution
  • Facilitate workshops and working sessions to drive alignment on process design, requirements, and AI use cases

    Communicate effectively with stakeholders, including senior and executive leadership
  • Define and standardize AI discovery frameworks, workflow design approaches, and performance measurement practices across the organization
  • Mentor and guide less experienced team members or project resources as needed
Qualifications
  • 7+ years of experience in process improvement, operations, product, or transformation roles.
  • Experience with AI, analytics, or automation initiatives.
  • Strong understanding of business processes (insurance experience preferred).
  • Knowledge of data structures, data quality, and workflow dependencies.
  • Strong analytical, problem-solving, and stakeholder management skills.
  • Periodic travel may be required.
  • Ongoing education in AI, data, and process improvement methodologies required.

Salary Range: $ - $

EOE/Minorities/Females/Veterans/Disabled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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