Manager, Engineering - (Guidewire PolicyCenter Platform)

Responsibilities

• Ensures the PolicyCenter platform and adjacent ecosystem (Integration Gateway, Product Definition, Jutro Digital, internal developer platform) 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.
• Maintains team effectiveness and addresses issues impacting productivity; removes roadblocks and manages interdependencies.
• Promotes 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.
• Led adoption of DevSecOps and SRE practices; improves CI/CD pipelines, observability, secure-by-default guardrails, and internal tooling to accelerate delivery and reduce operational load.
• Safeguards platform scalability, reliability, performance, security, and upgrade readiness; builds solutions to measure conformance and upgradeability.
• Owes the PolicyCenter 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.
• Applies AI/ML and Generative AI to improve automation, insight, and customer experience.
• Collaborates across Product, Engineering, Security, and support teams to ensure seamless integration, optimal performance, and compliance in a regulated environment.
• Develops technology vision, strategies, and operating plans for the platform; may establish financial plans and manage to budget; evaluates, selects, and implements new technologies to enhance the platform and developer experience (e.g., internal documentation, self-service environments, internal developer portal).

Qualifications

• Knowledge of technology concepts, strategies and methodologies typically acquired through a Bachelor’s or Master’s Degree in technical or business discipline and a minimum of five years’ experience in a practice relevant domain including delivering software solutions in an agile environment. 3 years in a leadership role preferred.
• 10+ years of software engineering experience, with 5+ years in engineering, platform, infrastructure, or developer productivity leadership.
• Strong technical leadership, mentoring, and the ability to guide multiple agile teams toward consistent, high-quality delivery.
• Proven success implementing AI/ML and Generative AI capabilities to drive automation, insight, and customer experience.
• Deep experience architecting and engineering across cloud platforms (AWS, Azure), SaaS, CI/CD pipelines, and infrastructure as code.
• Commitment to DevSecOps and SRE principles, secure coding, proactive health management, and compliance in regulated environments.
• Hands-on experience building and scaling internal developer platforms (IDP), self-service environments, and secure service-to-service communication.
• Data-driven decision-making using DORA metrics, SLOs, and platform adoption KPIs to drive continuous improvement.
• Strong architectural judgment and pragmatic approach to scaling systems; excellent written and verbal communication skills.
• Expert-level Guidewire PolicyCenter experience (Configuration, Integration, and Edge/Digital APIs); proven experience leading PolicyCenter implementations and upgrades or a similar experience with another SaaS platform.
• Familiarity with Kafka or managed messaging systems in real-world production use.
• Experience with event-driven and service-oriented architectures, microservices, identity, and access control.
• Experience managing platforms for multi-tenant SaaS applications.
• Experience with observability systems (metrics, logging, tracing) and reliability tooling.
• Experience with developer experience tooling: internal documentation, self-service environments, and internal developer portals.
• Preferred: Guidewire PolicyCenter ACE Certification (10.0 or higher).
• Familiarity with data governance frameworks (e.g., DAMA, DCAM) and tools (e.g., Collibra, Alation).
• Experience with data quality and observability tools (e.g., Great Expectations, Monte Carlo, Soda) and schema registries (e.g., Confluent).
• Expertise in defining and managing API and event-based data contracts (OpenAPI/AsyncAPI, Avro/Protobuf) and secure data access (RBAC/ABAC).
• Proven ability to operationalize data stewardship: clear ownership, auditable lineage, measurable quality, and compliant retention for policy data.