We’re committed to putting people first – if you need an accommodation as you go through the job searching, application, and interviewing process, please click here for more information.
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Configure and support data ingestion, validation, enrichment, matching, and distribution processes within the enterprise data management system. Support reporting, analytics, and downstream data integration processes connected to the EDM platform. Build and maintain scalable ETL/ELT pipelines for market, reference, and transactional data. Integrate data from internal and external vendors, APIs, flat files, and enterprise applications. Implement data quality checks, reconciliations, exception handling, and monitoring processes. Collaborate closely with data engineers, analysts, and product stakeholders in an agile, squad-based model. Mentor junior engineers, participate in code reviews, and promote engineering best practices and standards. Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 5+ years of experience in data engineering, building and maintaining scalable data platforms and pipelines. Advanced proficiency in SQL with expertise in data modeling and data warehousing concepts. Hands-on experience supporting and developing solutions within Markit EDM. Experience working with market data, reference data, or financial services data platforms. Proficiency in Python for data processing, automation, and integration. Experience troubleshooting complex production data issues. Strong communication and stakeholder management skills.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517540260", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618516521420, "name": "Intelligent Systems Solutions Engineer- Liberty Mutual Investments Technology", "posting_name": "Intelligent Systems Solutions Engineer- Liberty Mutual Investments Technology", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "New York, New York, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1776081360, "t_create": 1775517180, "ats_job_id": "75408", "display_job_id": "2026-75408", "type": "ATS", "id_locale": "2026-75408-en", "job_description": "40% Solution & architecture design: Map LLM/Gen AI capabilities to business needs; craft secure, scalable solution designs and guide the team through reviews and delivery 40% Hands-on engineering: Rapidly prototype and code Gen AI proofs-of-concept; contribute production-quality Python (and occasional React) services running on AWS 20% Stakeholder & product collaboration: Partner with the Product Owner and Investments stakeholders to refine requirements, set technical direction, and evangelize Gen AI opportunities. Liaise with Compliance, Privacy, and central GenAI teams. Continuously scan the Gen AI landscape: model releases, orchestration frameworks, prompt-engineering trends?and assess fit for our roadmap Establish engineering standards for code quality, observability, cost-efficient LLM usage, and secure development Mentor MLOps engineers and full-stack developers; foster a dynamic, collaborative culture that earns trust across technical and business teams Design of end-to-end solutions as an architect or senior engineer; proven Tech Lead for small, agile teams and the ability to work through others Ability to communicate complex AI concepts to non-technical stakeholders and influence decision-makers with a calm, measured style. Advanced knowledge of agile development methodologies as typically acquired through a Bachelor`s or Master`s degree in technical or business discipline or equivalent experience At least 10 years of related experience Design of end-to-end solutions as an architect or senior engineer; proven Tech Lead for small, agile teams and the ability to work through others Advanced Python skills; experience building services that integrate with LLM APIs (OpenAI preferred). Solid understanding of AWS primitives (Lambda/ECS/Fargate, S3, IAM, networking) and secure-by-design principles. Comfort with MLOps concepts (model lifecycle, evaluation, monitoring) and CI/CD automation. Ability to communicate complex AI concepts to non-technical stakeholders and influence decision-makers with a calm, measured style. Nice-to-haves: knowledge of MCP server patterns, React, LangChain or similar orchestration tools, Investments domain exposure; prompt engineering", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516521420", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618515616309, "name": "Principal Full Stack Software Engineer, Investments Technology (Public Markets)", "posting_name": "Principal Full Stack Software Engineer, Investments Technology (Public Markets)", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1776081420, "t_create": 1771339200, "ats_job_id": "74632", "display_job_id": "2026-74632", "type": "ATS", "id_locale": "2026-74632-en", "job_description": "- 8+ years of software engineering experience in an agile environment - Prior experience building real\u2011time trading, execution, order management, or market data systems for institutional investors strongly preferred. - Deep understanding of distributed systems, low\u2011latency architectures, and resilient, fault\u2011tolerant design. - Proven experience working in fast\u2011paced, regulated financial services environments. - Strong proficiency in Python and modern backend development; experience with cloud\u2011native architectures on AWS (e.g., Lambda, Fargate, Step Functions). - Experience designing and consuming REST and event\u2011driven APIs; familiarity with data platforms such as Snowflake and ingestion pipelines. - Practical experience applying AI\u2011assisted tools in the SDLC (e.g., code generation, test creation, observability, or productivity tooling). - Deep knowledge of software architecture patterns, security and privacy controls, and enterprise engineering practices. - Strong grasp of agile delivery, backlog management, and incremental value delivery. A Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience. Highly Desirable: CFA or Progress towards CFA", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618515616309", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618517508864, "name": "Director, Engineering - USRM Property & Specialty", "posting_name": "Director, Engineering - USRM Property & Specialty", "location": "Plano, Texas, United States", "locations": ["Plano, Texas, United States", "Columbus, Ohio, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "Indianapolis, Indiana, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1781625780, "t_create": 1780494780, "ats_job_id": "76261", "display_job_id": "2026-76261", "type": "ATS", "id_locale": "2026-76261-en", "job_description": "Build, lead, and develop a high-performing engineering organization, including engineering managers and senior technical leaders. Foster a culture of technical excellence, innovation, accountability, and continuous learning. Oversee talent strategy including hiring, coaching, performance management, and succession planning. Establish and scale global engineering teams, including vendor and offshore strategies aligned to capacity and cost objectives. Lead cross-functional coordination across Guidewire, system integrators, platform teams, and downstream consumers to manage dependencies, risks, and delivery. Partner with Product, Underwriting, Data, Experience, and Architecture teams to deliver business value and seamless customer experiences. Collaborate with senior and executive leadership to align engineering priorities with enterprise strategy and modernization goals. Own delivery outcomes, including timelines, quality, system health, and business impact. Represent engineering in strategic planning, budgeting, and resource allocation discussions. Serve as a thought leader in engineering and modernization, influencing architecture, platform investments, and emerging technologies (e.g., GenAI, cloud data platforms). Bachelor's or Master's degree in Computer Science, Engineering, or related discipline. 10+ years of technology experience with 5+ years in senior leadership roles. Experience leading large-scale policy administration transformations in P&C insurance. Deep expertise in Guidewire PolicyCenter (Guidewire Cloud preferred). Proven ability to lead large, globally distributed engineering teams (75-150+ engineers). Strong knowledge of cloud-native architectures, microservices, APIs, and DevOps practices. Demonstrated ability to lead complex, cross-functional programs and influence senior stakeholders. Strong business acumen with the ability to align technology outcomes to business strategy. Ensure adoption of best practices across software development, DevOps, security, and quality engineering. Lead and develop a high-performing engineering organization, including managers, senior engineers, and global/vendor teams. Own the end-to-end policy platform buildout supporting Property & Specialty LOB's. Be accountable for delivery of implementation milestones across a multi-year modernization program. Partner closely with Architecture, Guidewire and Systems Integrators to ensure that the engineering aligns with our go-forward architecture stratecy and aligns with existing architecture blueprint. Drive cross-functional execution across Guidewire, system integrators, platform teams, and downstream systems. Shape engineering strategy aligned with enterprise architecture, cloud platforms, and long-term modernization goals. Ensure adoption of best practices across software engineering, DevOps, security, and reliability. Partner with Product, Underwriting, Data, and Experience teams to deliver measurable business outcomes. Represent engineering in executive-level planning, funding, and prioritization discussions. Build a strong engineering culture focused on accountability, innovation, and continuous improvement. Serve as a thought leader influencing engineering practices and enterprise technology direction.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517508864", "isPrivate": false, "latlongs": "33.0198431,-96.6988856"}, {"id": 618517331003, "name": "Principal Quantitative Engineer, Investments Technology", "posting_name": "Principal Quantitative Engineer, Investments Technology", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1779890220, "t_create": 1779393180, "ats_job_id": "76155", "display_job_id": "2026-76155", "type": "ATS", "id_locale": "2026-76155-en", "job_description": "Lead the design and implementation of applications, proofs of concept, and production-grade tooling that advance portfolio construction, asset allocation analytics, and quantitative research workflows. Partner with quantitative analysts and portfolio strategists to convert AI-generated prototypes and research artifacts into robust, production-ready applications. Build and maintain data pipelines for portfolio and market data across public and private markets, leveraging the LMI data ecosystem. Contribute to the team's shared quantitative library, supporting both existing and new models, analytics, and reusable components. Support and extend existing applications and dashboards in production, and drive the design and implementation of new ones to meet evolving research and decision-support needs. Excellent problem-solving and analytical skills, with the ability to think critically, independently, and act with minimal handholding Effective communication skills, with the ability to clearly articulate complex ideas and analysis to both technical and non-technical stakeholders. Strong attention to detail, organization, and the ability to manage multiple tasks and priorities in a fast-paced environment. Full-stack development knowledge with a minimum of 5 years professional experience programming in Python demonstrating the ability to write efficient and robust code able to process and analyze large financial datasets. Experience with key Python Libraries (pandas, NumPy) required Experience in front-end development and user experience (UX) design required; experience with Pythonic front-end and data visualization libraries (e.g., Plotly, Dash) preferred. Experience using Version Control (Git) required. Experience using Agentic Programming tools (Github Copilot, Claude) required. Experience developing applications for investment management firms or, more broadly, financial services is a strong plus. Strong SQL skills required. Familiarity with financial data platforms (such as Bloomberg, FactSet, Aladdin, eFront, Moodys), financial databases, and data manipulation techniques strongly preferred. Strong quantitative background required, with hands-on experience applying statistical, time-series, and optimization techniques using Python libraries (e.g., SciPy, Scikit-Learn, cvxpy, statsmodels) to portfolio construction and asset allocation problems. Deep understanding of investment management and portfolio composition strategies, with knowledge across asset classes including fixed income, public and private equity, and private credit. Demonstrated experience applying quantitative methodologies (including optimization, factor modeling, risk decomposition, and econometrics) to support portfolio construction, asset allocation, and investment decisions. Demonstrated ability to partner with business teams to convert AI-generated artifacts (e.g., prototypes, proofs of concept) into production-ready applications. Experience bridging the gap between rapid AI-developed prototypes to quality full-stack applications is highly valued. Proven ability to design, build, and scale application systems in data-rich environments including custom AI tools. Master's or Ph.D. (or equivalent experience) in a quantitative or engineering field such as Computer Science, Mathematics, Statistics, Econometrics, Financial Engineering, or a related discipline. Eight or more years of software engineering experience A Bachelor's or Master's degree in a technical or business discipline, or equivalent experience", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517331003", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618516080556, "name": "Principal Front Office Engineer, Multi-Asset Risk Solutions - Investments Technology", "posting_name": "Principal Front Office Engineer, Multi-Asset Risk Solutions - Investments Technology", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1776081420, "t_create": 1773237240, "ats_job_id": "74952", "display_job_id": "2026-74952", "type": "ATS", "id_locale": "2026-74952-en", "job_description": "Excellent problem-solving skills, with the ability to think critically, independently, and act with minimal handholding. Effective communication skills, with the ability to clearly articulate complex ideas and analysis to both technical and non-technical stakeholders. Strong attention to detail, organization, and the ability to manage multiple tasks and priorities in a fast-paced environment. Full-stack development knowledge with a minimum of 5 years professional experience programming in Python demonstrating the ability to write efficient and robust code able to process and analyze large financial datasets. Experience with key Python Libraries (pandas, NumPy) required Experience in front-end development and user experience (UX) design required; experience with Pythonic front-end and data visualization libraries (e.g., Plotly, Dash) preferred. Experience using Agentic Programming tools (Github Copilot, Claude) required. Proven ability to design, build, and scale application systems in data-rich environments including custom AI tools. Strong SQL skills required with a familiarity of financial data platforms (such as Bloomberg, FactSet, Aladdin, eFront, Moodys), financial databases, and data manipulation techniques preferred. Experience with statistical and time-series data analysis using pythonic libraries (such as Scikit-Learn, SciPy, cvxpy) is preferred. Solid understanding of financial markets and multi-asset investment risk domain. Practical experience in developing and maintaining models, tools, and reports that showcase a deep understanding of quantitative techniques, methods, statistics and econometrics Excellent problem-solving skills, with the ability to think critically, independently Effective communication skills, with the ability to clearly articulate complex ideas and analysis to both technical and non-technical stakeholders. Strong attention to detail, organization, and the ability to manage multiple tasks and priorities in a fast-paced environment. Full-stack development knowledge with a minimum of 5 years professional experience programming in Python demonstrating the ability to write efficient and robust code able to process and analyze large financial datasets. Experience with key Python Libraries (pandas, NumPy) required Experience in front-end development and user experience (UX) design required; experience with Pythonic front-end and data visualization libraries (e.g., Plotly, Dash) preferred. Experience using Version Control (Git) required. Proven ability to design, build, and scale application systems in data-rich environments. Strong SQL skills required with a familiarity of financial data platforms (such as Bloomberg, FactSet, Aladdin, eFront), financial databases, and data manipulation techniques preferred. Experience with statistical and time-series data analysis using pythonic libraries (such as Scikit-Learn, SciPy, cvxpy) is preferred. Solid understanding of financial markets/investments and risk Practical experience in developing and maintaining models, tools, and reports that showcase a deep understanding of quantitative techniques, methods, statistics and econometrics In-depth knowledge of diverse and emerging technologies, architectural concepts and principles A deep understanding of layered solutions and designs Awareness of policies regarding security and privacy Understanding of backlog tracking, burndown metrics and incremental delivery A Bachelor's or Master's degree in a technical or business discipline, or equivalent experience", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516080556", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618517071507, "name": "Senior Anaplan Solutions Architect", "posting_name": "Senior Anaplan Solutions Architect", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States", "Indianapolis, Indiana, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1780403040, "t_create": 1777572060, "ats_job_id": "75841", "display_job_id": "2026-75841", "type": "ATS", "id_locale": "2026-75841-en", "job_description": "Working closely with our technical team, drives adoption of architecture standards in order to promote operational excellence, security, reliability, performance efficiency and cost optimization into operating norms. Bachelor`s or Master`s degree in technical or business discipline or equivalent experience. Minimum 12-15+ years of Anaplan Configuration Engineering experience. Minimum 10+ years building scalable and maintainable Planning models. Minimum 5+ years of Solutions Engineer experience specifically with Anaplan. Anaplan Certified Model Builder strongly preferred. Experience collaborating with different business stakeholders to translate needs to actionable technical specifications. Experience designing and implementing integrations between Anaplan and other enterprise systems (EPR, CRM, data warehouses). Experience acting as a technical advisor/coach on complex Anaplan issues and communicating complex Anaplan issues to non-technical partners. Proficiency in product and system components of technical architecture. In-depth knowledge of insurance operations, objectives and strategies; in-depth understanding of global business and technology trends. Strong influencing and consensus building skills, and the adaptability to respond to change quickly. Strong communications skills, both written and verbal. Ability to effectively collaborate with all levels of the organization with diverse backgrounds. Experience with agile practices and expectations. Strong desire to drive change, and ability to adapt to change quickly. Strong consulting skills (relevant/technical); recognized as a thought leader within the company. Ability to balance the long-term \"big picture\" and short-term implications of decisions.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517071507", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618516127729, "name": "Solutions Engineer/Technical Lead, Software (Guidewire Policy Center)", "posting_name": "Solutions Engineer/Technical Lead, Software (Guidewire Policy Center)", "location": "Plano, Texas, United States", "locations": ["Plano, Texas, United States", "Columbus, Ohio, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "Indianapolis, Indiana, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1776081540, "t_create": 1773429420, "ats_job_id": "74996", "display_job_id": "2026-74996", "type": "ATS", "id_locale": "2026-74996-en", "job_description": "A Technical Problem Solver who not only writes high\u2011quality code, test scripts, and system components but also takes ownership of documenting solutions and creating clear deployment guides that ensure resilient, scalable software delivery. Customer-Focused, translating real business needs into practical, value-driven technical solutions while supporting the end-to-end lifecycle of new software products. A Forward-Thinking Innovator who goes beyond fixing issues--proactively identifying opportunities to enhance performance, quality, and operational efficiency. A Continuous Learner eager to adopt new technologies and adapt quickly within evolving environments. A Thought Leader in Best Practices, championing the SurePath methodology, promoting out-of-the-box capabilities, and contributing reusable patterns that future-proof our technology landscape. Description Architect and implement integrations between Guidewire and external systems leveraging the Guidewire Integration Framework and APIs. Design and configure Guidewire modules tailored to client business requirements. Collaborate in hands-on sessions, code reviews, demos, and cross-team knowledge sharing to design, develop, and configure innovative solutions. Lead the development of system, technical, and product standards aligned with business goals and long-term strategies within an Agile delivery framework. Analyze complex technical challenges and propose comprehensive solutions with detailed architecture diagrams and design documentation. Partner with architects, stakeholders, and engineering teams to continuously evolve the platform design. Apply expertise in observability, infrastructure as code, Agile methodologies, and software testing best practices. Demonstrate strong ownership and independence in troubleshooting and resolving technical issues. Identify and recommend opportunities for process and technology improvements to drive continuous enhancement. Flexibility and adaptability in dynamic, fast-paced environments. Solid grasp of modern frameworks and emerging technologies. Possesses cloud-native integration and deployment experience with the Guidewire Cloud Platform (GWCP), including working in multi-planet star systems (dev, preprod, prod). Proficient in Integration Gateway (IG) concepts such as camel routes, error handling, and secure external calls, and is comfortable using cloud deployment tools like TeamCity, Docker, AWS S3, and Secrets Management. Experience with integration patterns involving web services (SOAP/REST), messaging systems, and batch processing Extensive experience designing, architecting, and integrating complex Guidewire InsuranceSuite solutions encompassing configuration, integrations, and Gosu development. Proficiency with cloud platforms and container orchestration technologies, including AWS, Cloud Foundry, or Kubernetes. Knowledge of event-driven architectures and API-first microservices design. Understanding of business operations and strategies, with insights into global technology trends and the insurance industry. Strong programming skills in Java, Spring Boot, JavaScript, TypeScript, Node.js, Python, and related technologies. Experience working with relational databases (e.g., PostgreSQL), NoSQL, Docker, Kubernetes, and serverless architectures. Ability to develop and maintain CI/CD pipelines for automated build, testing, and deployment using tools like Jenkins, GitLab CI, or AWS CodePipeline. * Minimum of 10 years of IT experience across diverse technologies. Deep understanding of the P&C insurance domain and related products. Enthusiasm for exploring new technologies and learning new tools. 5+ years of hands-on Guidewire experience. Proven track record of success in platform modernization initiatives using Guidewire, RESTful APIs, microservices, cloud platforms (AWS, Azure, Google Cloud), and Java/Node.js/Spring Boot technologies. Collaborative and adaptable work style, with demonstrated initiative and strong time management skills. Comprehensive knowledge of technology concepts, business operations, system architecture, design and development tools, and technical standards. Collaborates effectively with DevOps and development teams to define branching strategies, release cycles, and promotion rules across environments, while guiding teams on self-service deployment best practices using the Integration Gateway UI. Possesses deep expertise in IAM roles, cross-account permissions, and KMS encryption for external integrations, ensuring integration designs comply with PII, PCI, and audit logging standards. Experienced in API and event-driven architecture, with strong knowledge of Cloud APIs, App Events, and Webhooks to enable extensibility and integrations, skilled in configuring Cloud API roles and ensuring transactional consistency, and well-versed in best practices for payload minimization, safe ordering, and schema evolution. Experienced in data integration and observability with knowledge of Cloud Data Access and Snapshot Export to S3, proficiency in observability tools such as Zipkin, Prometheus, and Cloud Monitoring dashboards, and a strong understanding of logging and audit trail standards for GWCP integrations. Bachelor's degree in a technical or business field, or equivalent professional experience. Guidewire Certified Associate or Ace Developer certification for relevant cloud products (PolicyCenter, IG)", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516127729", "isPrivate": false, "latlongs": "33.0198431,-96.6988856"}, {"id": 618514148164, "name": "Manager, Engineering - (Guidewire PolicyCenter Platform)", "posting_name": "Manager, Engineering - (Guidewire PolicyCenter Platform)", "location": "Plano, Texas, United States", "locations": ["Plano, Texas, United States", "Columbus, Ohio, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "Indianapolis, Indiana, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1776081420, "t_create": 1763045700, "ats_job_id": "73164", "display_job_id": "2025-73164", "type": "ATS", "id_locale": "2025-73164-en", "job_description": "Responsible for hiring, managing, and deploying resources across team(s) to enable optimal alignment of staff to business priorities. Manages total cost of ownership, advocates for removal of technical debt, and supports team effectiveness. 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. 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 DevSecOps 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 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. 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 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). Set technical direction, review designs and code, and ensure best practices in PolicyCenter configuration, integration, testing, and release. Remove blockers, manage interdependencies, and align work across teams toward product goals. Define platform KPIs, dashboards, and reporting to provide transparency and drive action. Collaborate with Guidewire and internal Architecture to evaluate new capabilities, ensure upgradeability, and optimize cost. Lead the rollout of secure-by-default patterns, automated controls, and platform guardrails. Partner with Product, Engineering, and Security leadership to align infrastructure capabilities with business needs. Own the PolicyCenter data domain: define canonical data models, data contracts, and authoritative sources for policy, product, rating, and underwriting data. Build and operationalize data quality SLAs/SLOs and KPI dashboards (completeness, accuracy, timeliness, lineage, change failure rate for data pipelines) for Policy data. Implement and maintain metadata, lineage, and catalog entries for PolicyCenter datasets; ensure upgradeability and alignment with Guidewire's data model. Partner with Enterprise Data Office, Security, and Legal to ensure compliant handling of PII and policy data (privacy, consent, auditability, least-privilege access). Drive master and reference data practices for policy-related entities; reduce duplication and ambiguity through golden-source stewardship. Embed data observability and incident management for data pipelines; continuously improve reliability and reduce operational load. 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. Experience with event-driven and service-oriented architectures, microservices, identity, and access control. Experience managing platforms for multi-tenant SaaS applications. Experience with developer experience tooling: internal documentation, self-service environments, and internal developer portals. Experience establishing data governance in regulated environments; familiarity with frameworks (e.g., DAMA, DCAM) and tools (e.g., Collibra, Alation). 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