Project Delivery Manager - Guidewire Tech Lead

Guidewire Tech Lead – Project Delivery Manager

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Guidewire Tech Lead you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Work you’ll do/Responsibilities  

Business Insurance Guidewire POD team will support integration development, testing & deployment for Guidewire integration with downstream systems. Lead the design and delivery of Guidewire PolicyCenter capabilities with emphasis on forms/document generation, interfaces/integrations, and business rules, ensuring upgrade-safe configuration, strong quality, and predictable releases.

• Own end-to-end PolicyCenter delivery for rules + forms + interfaces: requirements intake, solution design, build oversight, testing, and release.
• Lead Gosu rules design and implementation (validation, underwriting, job lifecycle, eligibility, referrals/approvals), including performance and maintainability guardrails.
• Drive forms/documents solution: templates, triggers, data mapping, conditional logic, localization/state variations, and batch/print flows (Policy docs, endorsements, renewals, notices).
• Own interface design and delivery: REST/SOAP services, messaging/events, batch integrations, error handling/retries, idempotency, and monitoring/logging.
• Coordinate cross-system touchpoints: BillingCenter/ClaimCenter, rating (ISO/3rd party), doc gen platforms, portals, payments, CRM, and data/EDW. Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
• Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team 

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Qualifications

Required

• 7+ years in P&C insurance technology delivery;
• 5+ years hands-on PolicyCenter implementation experience.
• Strong expertise in Gosu, PolicyCenter rules framework, and policy lifecycle processes (NB, endorsement, renewal, cancellation/reinstatement).
• Proven experience with forms/document generation patterns and production support (template management, mapping, exceptions, compliance-driven variations).
• Strong integration experience (APIs, messaging, batch) and environment/release practices (DEV/TEST/UAT/PROD, CI/CD).
• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
• Limited immigration sponsorship may be available
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Hybrid role: 3 days on-site

Preferred

• React JS
• AWS
• Guidewire PolicyCenter certification(s).

For individuals assigned and/or hired to work in Maryland, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Maryland and takes into account the wide range of factors that are considered in making compensation decisions includi