AI Product Lead

Role Overview

• The AI Product Lead defines and continuously evolves the enterprise AI strategy in alignment with operational transformation goals across claims intake, adjudication, medical management, fraud detection, litigation management, subrogation, and client reporting.
• They ensure AI initiatives contribute to scalable, reusable platforms rather than siloed solutions tailored to a single client or program.
• They design and operate a structured intake and prioritization framework that evaluates AI demand based on business impact, indemnity reduction potential, cycle time improvement, compliance risk, client contractual obligations, and technical feasibility.
• They facilitate cross-LOB trade-off discussions, making capacity constraints and sequencing decisions transparent to leadership.
• The AI Product Lead partners closely with Business Transformation Leads within each Line of Business to shape initiatives before they enter delivery.
• They challenge unclear problem definitions, ensure expected outcomes are measurable, and align initiatives with operational KPIs such as claim duration, leakage reduction, customer satisfaction, regulatory adherence, and adjuster productivity.
• They maintain a rolling roadmap across multiple quarters, balancing near-term operational wins with longer-term platform investments such as document intelligence, predictive modeling frameworks, or generative AI copilots for adjusters and examiners.
• They establish a value realization framework to track financial impact, operational efficiency gains, model performance, adoption rates, and client satisfaction post-deployment.
• When initiatives fail to produce expected outcomes, they lead reassessment and course correction.
• The AI Product Lead ensures consistency in product governance practices across squads, mentors Product Managers/Owners, and works closely with AI technology leadership to ensure roadmap sequencing aligns with data governance standards, model risk management requirements, auditability, and enterprise architecture constraints common in regulated insurance environments.
• They serve as the primary AI portfolio voice in executive forums, providing clear reporting on roadmap status, risk exposure, value realization, and capacity allocation across Lines of Business.

Requirements

• 10+ years of experience in Product Management, Digital Transformation, or Operational Strategy within insurance, claims, or risk services
• Experience managing multi-LOB portfolios in regulated environments
• Strong understanding of claims lifecycle and operational performance drivers
• Proven ability to balance strategic investment with operational urgency
• Familiarity with AI/ML governance, model risk considerations, and regulatory implications

Benefits

• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Remote work options