AI Product Lead

Sedgwick

2d•Remote

About The Position

By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve. Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies Certified as a Great Place to Work® Fortune Best Workplaces in Financial Services & Insurance AI Product Lead The AI Product Lead is responsible for defining and governing the enterprise AI portfolio across multiple insurance and claims-focused Lines of Business. This role ensures AI investments drive measurable improvements in claims outcomes, operational efficiency, indemnity control, client experience, and regulatory compliance. Operating at the intersection of business transformation and technology delivery, the AI Product Lead balances competing LOB priorities, ensures reuse of AI capabilities across claims workflows, and prevents fragmented point solutions. This role establishes disciplined intake, transparent prioritization, and value realization oversight for all AI initiatives impacting claims operations and supporting functions. The AI Product Lead serves as the single accountable leader for enterprise AI roadmap sequencing and portfolio governance.

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

Responsibilities

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.