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P&C Insurance; Personal & Commercial Transformation Manager

Job in Beaverton, Washington County, Oregon, 97075, USA
Listing for: Accenture
Full Time position
Listed on 2026-06-01
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager
Job Description & How to Apply Below
Position: P&C Insurance (Personal & Commercial) Transformation Manager
About the Role  

We help P&C carriers modernize Personal and Commercial   lines   operations   -   Und erwriting, and Claims
-using domain depth,   data driven   process reinvention , and AI (including agentic AI). As a Transformation Manager / Senior Manager,   you'll   lead   cross functional   teams to redesign operating models, digitize workflows, and scale   AI enabled   capabilities that   support   profitable   growth,   reduce loss and LAE, compress cycle times, and elevate the policyholder/claimant experience.
You'll   also play a   hands-on   role in business development, shaping   solutions   and growing enduring client relationships.

What   You'll   Do  

Strategy & Operating Model

+ Diagnose   current state   Claims across Personal (Auto, Homeowners) and Commercial (SMB, Middle Market, Specialty) lines;
identify   leakage, rework, and   cycle time   drivers.

+ R edesign   target operating models   and rei nvent/   reimaging   end-to-end processes   spanning   Claims ( FNOL, coverage/causation, investigation/SIU, subrogation, litigation management, vendor orchestration, and recovery ) and Underwriting .

AI, Data & Intelligent Workflows

+ Lead 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 (e.g., doc ingestion → policy/coverage retrieval → summarization → suggested adjudication actions) with   appropriate   human   in   the   loop controls.

Delivery & Change Leadership

+ Manage   end-to-end   engagements (assessment → design → pilot → scale); set OKRs, roadmaps, and benefits realization.

+ Lead small to mid sized teams; coach analysts/consultants and client SMEs; drive stakeholder alignment across Claims, Legal, Compliance, SIU, IT, and Finance.

Client Growth & Thought Leadership

+ Shape proposals and solution architectures; craft business cases   and   delivery strategy, design, and execution projects

+ Build   client executive   relationships; contribute to industry   PoVs   that support Accenture's leadership position in the Insurance Consulting industry    

Responsibilities:

+ Adapt methods and procedures to solve moderately complex problems creatively.

+ Align work with strategic direction set by senior management.

+ Exercise judgment on solutions; seek guidance   for   complex issues.

+ Interact primarily with supervisors, including with client and Accenture leadership.

+ Develop   new ideas   and help turn them into go-to-market offerings.

+ Define methods and procedures for new assignments with guidance.

+ Manage small teams or work efforts at client sites or within Accenture.

+ Work as part of a team delivering client value at the intersection of business and technology.

+ Perform product management and/or product owner responsibilities in the context of consulting and technology implementations.

+ Travel   up to 80%.

Basic Qualifications

+ 7+ years working in management consulting or industry experience with life and annuity carriers focused on technology implementations and/or business process design.

+ 5+ years   identifying , leading, shaping, and selling Insurance consulting engagements.

+ 5+ years working in agile delivery, with experience as a product manager or product owner

+ Bachelor's Degree

Preferred Qualifications

+ D eep functional knowledge of insurance across the value chain (e.g., underwriting, claims, operations, distribution) with the ability to connect strategy   to   day-to-day   execution.

+ P roven ability to lead   end-to-end   process reinvention, including redesigning workflows, roles, and decision rights to materially improve cost, cycle time, and customer outcomes.

+ Experience defining and implementing target operating models that integrate business, technology, data, and AI to sustainably scale value.

+ Working knowledge of AI and agentic AI applications in insurance (e.g., automation, fraud detection, decision support, predictive analytics) and the ability to translate concepts into practical use cases.

+ Strong execution mindset with   a track record   of converting vision into actionable roadmaps, measurable outcomes, and realized…
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