P&C Transformation Consultant: AI-Driven Underwriting & Claims

Accenture; Milwaukee (WI); On-site; USD 70,000 - 206,000; Full time

Job summary

Accenture is seeking a Transformation Consultant to drive underwriting and claims reinvention for P&C carriers. You will lead small teams or individual contributors within cross-functional pods, blending insurance expertise with analytics and agentic AI to improve client outcomes.

Responsibilities include assessing current processes, redesigning operating models, and developing roadmaps that integrate automation and human expertise. Up to 80% travel is required.

Qualifications

• 3+ years of management consulting and/or industry experience in Property & Casualty insurance, including Claims and Underwriting.
• 3+ years of process engineering, data/analysis, program management, and /or leading complex business / technology deliveries.
• Bachelor’s Degree.

Responsibilities

• Assess current-state underwriting, claims, and operational processes to identify opportunities to reimagine and optimize outcomes.
• Support end-to-end business process reinvention across Claims and Underwriting, redesigning workflows, roles, governance, decision rights, and performance management.
• Define future-state operating models that blend human expertise, automation, analytics, and AI-enabled decision support.
• Develop transformation roadmaps aligned to strategic business outcomes.
• AI, Data & Intelligent Workflows
• Support design of AI/agentic AI end-to-end processes and support enablement of those solutions.
• Partner with engineering/data teams design and implement end-to-end agentic workflows with appropriate human in the loop controls.

Skills

Insurance industry experience

Process engineering

Data analysis

Program management

Leadership in consulting

Education

Bachelor’s degree

Job description

Accenture is seeking a Transformation Consultant to drive underwriting and claims reinvention for P&C carriers. You will lead small teams or individual contributors within cross-functional pods, blending insurance expertise with analytics and agentic AI to improve client outcomes.

Responsibilities include assessing current processes, redesigning operating models, and developing roadmaps that integrate automation and human expertise. Up to 80% travel is required.