Horace Mann
AIWorkflowOptimizationLead
Neural analysis suggests this role is
optimal for Senior candidates.
“AI Workflow Optimization Lead at Horace Mann. Skills: AI Workflow Optimization, Process Management, Cross-functional Coordination, Vendor/Stakeholder Management, Operational Metrics, Resource Planning, Continuous Improvement. Leads the design and optimization of AI-enabled business workflows across key functions such as underwriting, claims, and servicing. Drives process transformation by identifying AI opportunities, defining requirements, and ensuring measurable improvements in efficiency, cos”
What You'll Achieve.
measurable improvements in efficiency, cost, and performance; Ensure alignment with data governance, privacy, and regulatory requirements; expected operational impact; AI Control Plans including performance metrics, thresholds, monitoring requirements, and escalation protocols; Translate technical and operational performance into business insights and measurable impact; Ensure data quality and data drift considerations are incorporated into ongoing performance evaluation
Industry & Context.
analytical, problem-solving, and stakeholder management skills
Periodic travel may be required
What They're Looking For.
Must Have
7+ years of experience in process improvement, operations, product, or transformation roles, Experience with AI, analytics, or automation initiatives, understanding of business processes, Knowledge of data structures, data quality, and workflow dependencies, analytical, problem-solving, and stakeholder management skills
Nice to Have
insurance experience preferred, Lean/Six Sigma experience preferred, Bachelor’s degree preferred
What You'll Do.
Leads the design and optimization of AI-enabled business workflows across key functions such as underwriting, claims, and servicing, Drives process transformation by identifying AI opportunities, defining requirements, and ensuring measurable improvements in efficiency, cost, and performance, 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, 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, Support development of business cases, including value drivers, ROI assumptions, and expected operational impact, Identify risks, dependencies, and constraints impacting AI workflow implementation and performance, 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.
, 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.
How You'll Work.
Team & Collaboration
Partner with Product, Engineering, and Data Science teams to ensure requirements are complete, testable, and aligned to implementation capabilities; Assess data availability, completeness, and fitness for purpose in partnership with data and technology teams; 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
Communication Scope
Communicate effectively with stakeholders, including senior and executive leadership
Process & Methodology
resource planning
Full Job Description
Title: AI Workflow Optimization Lead Location: Remote Position Summary 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 Process Improvement & Value Realization Support development of business cases, including value drivers, ROI assumptions, and expected operational impact Identify risks, dependencies, and constraints impacting AI workflow implementation and performance 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 la
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