AI & Process Improvement Analyst

Role overview

AI strategy and operational analytics

• Identify workflows where AI, automation, and advanced analytics can provide measurable value; partner with teams to identify opportunities.
• Evaluate emerging AI technologies for third-party administrator operations and develop initiative business cases covering benefits, costs, risks, and implementation needs.
• Analyze claims and operational data for trends, patterns, inefficiencies, and improvement opportunities.
• Develop AI-assisted claims applications such as file summaries, document classification and extraction, correspondence drafting, documentation review, and workflow prioritization.
• Create dashboards and reports and identify improvements to claims cycle time, quality, accuracy, consistency, and client-focused service.

AI implementation and governance

• Participate in AI solution design, testing, implementation, and monitoring; refine prompts and workflows and assess output accuracy, consistency, reliability, and usefulness.
• Establish human-review processes, recommend enhancements based on performance and feedback, and document workflows, controls, and procedures.
• Support secure AI use involving confidential employee, client, claimant, medical, financial, and other sensitive information.
• Partner with IT, Information Security, Legal, Compliance, and other stakeholders on controls and alignment with policies, contracts, regulations, and privacy standards.
• Identify risks such as inaccurate information, bias, inappropriate recommendations, and data-security concerns; document tools, use cases, testing, and approved applications.

Training and adoption

• Facilitate workshops, demonstrations, and adoption initiatives for approved AI solutions; develop training materials, guidelines, job aids, and best practices.
• Serve as an internal resource for employees adopting AI and partner with managers to reduce repetitive administrative work.
• Promote responsible AI adoption while emphasizing human judgment and accountability.

Continuous improvement

Requirements

• Combine strong analytical capabilities with practical knowledge of insurance operations and emerging AI technologies.
• Apply AI, automation, and process improvement to operational needs.
• Work across business operations, claims, finance, data, technology, and leadership teams.