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Manager, Engineering Guidewire PolicyCenter Platform

Job in Portsmouth, Rockingham County, New Hampshire, 00215, USA
Listing for: Liberty Mutual Insurance
Full Time position
Listed on 2026-01-14
Job specializations:
  • IT/Tech
    Data Security, Data Science Manager, Cloud Computing, IT Project Manager
Job Description & How to Apply Below
Position: Manager, Engineering - (Guidewire Policy Center Platform)

Manager, Engineering - Guidewire Policy Center Platform Pay Range

Liberty Mutual Insurance provided pay range. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range: $/yr - $/yr

Job Summary

Responsible for hiring, managing, and deploying resources across team(s) to enable optimal alignment of staff to business priorities. Coaches and evaluates performance and quality of work delivered by team members. Creates a motivating environment and ensures the team is constantly learning and delivering quality code. Understands tools, architecture, security, and scalability needs for assigned team(s); provides technical engineering guidance, especially with less experienced team members.

Manages total cost of ownership, advocates for removal of technical debt, and supports team effectiveness. Champions agile methodology and practices. In addition, this role owns the technical delivery and ongoing health of the Guidewire Policy Center platform (part of Liberty Mutual’s Unified Insurance Platform), ensuring scalability, reliability, maintainability, security, and upgradeability. Partners closely with Guidewire, Architecture, Product, Security, and Tech Enablement, establishes enterprise‑grade policy data governance and stewardship, and demonstrates platform ROI through data and metrics.

Responsibilities
  • Ensures the Policy Center platform and adjacent ecosystem are enhanced and maintained to meet business needs; defines KPIs and success measures with Product Owners.
  • Understands the business domain and product vision; aligns team work with Scrum Masters, Architects, Product Owners, and stakeholders toward shared goals; maintains a unified, prioritized backlog.
  • Monitors team effectiveness and addresses issues impacting productivity; removes roadblocks and manages interdependencies.
  • Initiates and fosters partnerships with Guidewire, vendors, technology managers, and executives; aligns capabilities and roadmap to Liberty standards and cost goals; ensures external SaaS platforms meet technology, security, operational, and performance standards.
  • Manages quality of work, addresses performance issues promptly, conducts performance reviews, drives professional development (rotations, special assignments), and provides technical coaching and mentoring.
  • Hires talent and actively engages in recruiting; coordinates with vendors for consistent onboarding and transitions.
  • Leads adoption of Dev Sec Ops  and SRE practices; improves CI/CD pipelines, observability, secure‑by‑default guardrails, and internal tooling to accelerate delivery and reduce operational load.
  • Ensures platform scalability, reliability, performance, security, and upgrade readiness; builds solutions to measure conformance and upgradeability.
  • Owns the Policy Center value stream; integrates Release and Value Stream Management and establishes/tracks DORA & HPE metrics (Lead Time, Deployment Frequency, Change Failure Rate, MTTR), SLOs, and flow efficiency to drive continuous improvement and clear ROI.
  • Establishes enterprise‑grade data governance and stewardship for policy data: defines canonical models and authoritative sources; enforces policies for definitions, ownership, access, retention, and classification; implements metadata, lineage, and catalog entries; sets data quality SLAs/SLOs and KPI dashboards (completeness, accuracy, timeliness, lineage); manages data contracts and schema/versioning across APIs and events; drives master/reference data practices; ensures compliant handling of PII with least‑privilege access;

    embeds data observability and incident management.
  • Supports AI‑native workflows on the platform (model evaluation, observability, safe operations) and applies AI/ML and Generative AI to improve automation, insight, and customer experience.
  • Speaks the language of APIs, infrastructure, data models, and cloud architecture; collaborates across Product, Engineering, Security, and support teams to ensure seamless integration, optimal performance, and compliance in a regulated environment.
  • Participates in developing technology vision, strategies, and operating plans for the platform; may establish…
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