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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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. 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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": 618517116148, "name": "Talent Business Partner, (Sr HRBP) - Technology", "posting_name": "Talent Business Partner, (Sr HRBP) - Technology", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Human Resources", "business_unit": "0021-People, Purpose & Brand-US", "t_update": 1779134040, "t_create": 1778002500, "ats_job_id": "75904", "display_job_id": "2026-75904", "type": "ATS", "id_locale": "2026-75904-en", "job_description": "Drive Enterprise Technology Workforce Strategy Translate Enterprise Technology priorities into workforce strategies that ensure the right capabilities are available at the right time. Lead strategic workforce planning across these domains, including skills gap analysis, role evolution mapping, and supply/demand modeling to anticipate capability needs ahead of business decisions. Align domain-level workforce plans to the broader Global Technology talent agenda. Build robust, domain-specific succession pipelines for critical roles and critical talent. Ensure succession plans are living documents that evolve with the transformation roadmap. Redefine leadership expectations in partnership with business leaders, ensuring performance standards reflect increased engineering rigor, AI-enabled productivity, and a culture of ownership. Embed GenAI fluency and agentic-capability awareness into leadership development programming, equipping domain leaders to manage and develop AI-augmented teams effectively. Co-lead the people side of transformation within each domain, designing change approaches calibrated to the pace and complexity. Champion culture as a performance lever, partnering with leaders to shape environments where accountability, continuous learning, and psychological safety co-exist. Act as an ambassador for the overall Global Technology talent agenda within each domain, translating enterprise-wide priorities into locally relevant actions. Bachelor's degree and 8 to 10 years progressive experience in Human Resources. Advanced degree and/or HR Certifications (PHR, SHRM) preferred. Highly effective strategic thinking and problem solving to address complex challenges across multiple stakeholder groups. Deep expertise in technology talent strategy, including engineering, data, digital, and AI-related roles, and the evolving skill demands of modern technology organizations. Superior ability to build trust and collaborative relationships across multiple stakeholder groups. Executive-level talent consulting and influencing capability. Advanced capability in strategic workforce planning, succession planning, organization design, and leadership development within complex, fast-changing environments. Strong business acumen with the ability to connect technology strategy, external market trends, and talent implications into clear executive recommendations. Highly effective business acumen and ability to link business outcomes and external market trends to talent strategies. Very effective at making connections between broader SBU/enterprise goals and talent strategies and to develop strategies/plans to solve talent trends or issues (leveraging the right resources). Expert strategic thinking and problem-solving skills to address complex challenges across multiple stakeholder groups. Highly capable at building trust and relationships across multiple stakeholder groups.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517116148", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618516512353, "name": "Technology & IP Counsel", "posting_name": "Technology & IP Counsel", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Legal", "business_unit": "0014-Global Legal & Compliance-US", "t_update": 1779112740, "t_create": 1775468940, "ats_job_id": "75389", "display_job_id": "2026-75389", "type": "ATS", "id_locale": "2026-75389-en", "job_description": "Negotiate and draft complex technology agreements: software licenses, SaaS, API access, data licenses, and open-source compliance frameworks Advise on software license scope and restrictions in connection with AI and automation initiatives across core insurance platforms Review vendor contracts against LMIC negotiation playbooks; identify and escalate high-risk deviations Provide practical, commercial legal counsel on trademark, marketing, and IP strategy matters Anticipate emerging legal issues and drive proactive risk mitigation across the technology practice Direct and review work of law clerks and paralegals as needed Serve as legal counsel to the Responsible AI (RAI) Committee -- advising on pilot parameters, excluded use cases, access controls, and written determinations for AI/ML deployments Completion of law school with a J.D. or L.L.B. degree and admission to the bar of at least one jurisdiction in the United States required. Generally requires at least six years` experience as a practicing attorney. Technology transactions & IP law experience Strong commercial negotiation skills Excellent written and oral communication Ability to manage multiple priorities independently In-house experience at a regulated industry (insurance, financial services, healthcare) AI/ML governance or responsible AI advisory experience Familiarity with open-source licensing (GPL, Apache, MIT frameworks) Multi-jurisdictional technology regulatory experience Data privacy law background (CCPA, GDPR, state insurance data rules) Technical undergraduate degree or software/engineering background", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516512353", "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": 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": 618516423198, "name": "Solutions Engineer, Quality - Guidewire Policy Center", "posting_name": "Solutions Engineer, Quality - 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": 1779285360, "t_create": 1774878120, "ats_job_id": "75307", "display_job_id": "2026-75307", "type": "ATS", "id_locale": "2026-75307-en", "job_description": "Strategic partner: You take the big picture view, whether you're supervising architecture migrations or maintaining critical relationships with vendors and business partners Motivated mentor: Exercise your technical chops while coaching and collaborating with junior software engineers. Systems-level engineer: Working hand-in-hand with your business partners, you'll develop technical requirements and design robust and flexible product and system architectures Forward thinker: Leading by example, you'll promote a culture of continuous improvement by finding solutions that increase efficiency, accelerate the adoption of new technologies and enhance profitability Ten years of related software engineering experience A comprehensive understanding of agile environments Extensive knowledge of contemporary frameworks and emerging technologies A history of practicing DevOps and SecOps A strong background in business operations and strategies, including knowledge of global business, technology trends and the financial services industry Solid negotiation, facilitation, consensus building and influencing capabilities Ability to identify patterns and problems across teams and deliver effective solutions Openness and adaptability to respond to fast-moving circumstances A design thinking and test-driven development mindset Excellent oral and written communication skills, and an aptitude for working in teams Knowledge Experience developing or architecting cloud-hosted, responsive web applications using Java, HTML5 and CSSS3 Strong background in code review High-level proficiency with client-side JavaScript frameworks, server-side frameworks, and NoSQL databases Familiarity with event-based System of Engagement architectures and integration with API exposing microservices Deep understanding of layered solutions and designs Cognizance of security concerns, from access control and authentication to secured SDLC processes Understanding of DCI/MDM systems, data ingestion and cloud-scale data sets A Bachelor's or Master's degree in a technical or business discipline, or equivalent experience delivering durable solutions that prevent recurrence and accelerate flow 1) Systemic Problem Identification & Prioritisation Continuously mine signals (test outcomes, pipeline telemetry, defect trends, environment incidents, release friction, manual handoffs) to surface recurring constraints and risks. Maintain a prioritised \"Top Problems\" backlog with clear problem statements, leading indicators, target outcomes, and measures of success. Design solution options spanning process, tooling, automation, and integration guardrails; quantify impact and align stakeholders. Deliver solutions directly (scripts/tools, pipeline improvements, readiness checks, dashboards) and/or drive implementation through partner teams. Improve assurance gate effectiveness and speed by shifting confidence earlier in the lifecycle and reducing reliance on slow, brittle checks. Implement and tune risk-based gating aligned to defined thresholds and acceptance criteria (what must block vs what must be visible). Improve diagnosability via consistent artifacts, enriched run context, and actionable runbooks/playbooks. Ensure AI usage follows LM safety/security procedures and includes appropriate guardrails (accuracy checks, auditability, data handling). Work with the wider Liberty ecosystem of architects and technical leaders to ensure solutions align with enterprise standards, tool selection direction, and quality governance. Contribute improvements back into shared standards and tooling where possible to maximise leverage and consistency across the program. Increased \"chain of trust\" traceability coverage (requirements -> tests -> release signals).", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516423198", "isPrivate": false, "latlongs": "33.0198431,-96.6988856"}, {"id": 618516867105, "name": "SAP PaPM Configuration Engineer", "posting_name": "SAP PaPM Configuration Engineer", "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", "Columbus, Ohio, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1778531640, "t_create": 1776802200, "ats_job_id": "75704", "display_job_id": "2026-75704", "type": "ATS", "id_locale": "2026-75704-en", "job_description": "Description We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance. At Liberty, you'll thrive in a hybrid setting that fosters in-person collaboration, innovation and growth. This approach optimizes both remote and in-person interactions, enabling you to connect and ideate with your team and deepen valuable relationships across the company, while still enjoying the flexibility of remote work for focused tasks and projects. This role has a hybrid work schedule (2 days onsite) for candidates who are based in Portsmouth, NH, Boston, MA, Plano, TX, Indianapolis, IN and Columbus, OH. You must be authorized to work in the United States without employer sponsorship now or in the future. We will not sponsor employment visas. Candidates who will require future sponsorship, including candidates on CPT/OPT/STEMOPT who will require future sponsorship, are not eligible to apply. Job Introduction: The Global Finance Technology organization is looking to hire a SAP PaPM Configuration Engineer to the OneGL US Allocations team, supporting the OneGL BAU and US2.2 releases. Under supervision, this individual would be responsible for analyzing, developing, and configuring new use cases utilizing SAP PaPM. This role would entail supporting production users and configuration/testing/training to support maintenance and enhancement of the OneGL finance environment supporting the financial month-end close process. About the job: Maps business requirements to SAP PaPM system capabilities to support functional and technical solutions. Configures SAP PaPM system settings and options, executes unit and integration testing, and documents functional and technical specifications. Develops understanding of current business processes and system practices to support ongoing configuration and enhancement activities. Performs troubleshooting and resolves defect issues in collaboration with senior team members and subject matter experts. Identifies test scenarios and cases with product owners, executes test cases, documents test results and test scripts, and provides quality assurance results to the business. Supports pieces of the implementation process such as post-implementation support, cutover activities, and documentation. Participates in team discussions around system optimization and efficiency opportunities. Qualifications Bachelor's degree in a technical or business discipline. Minimum 2-3+ years of technical/functional SAP Finance experience. Minimum 1-2+ years of hands-on experience with SAP PaPM configuration, including involvement in at least one implementation or system enhancement. Familiarity with SAP BW, SAP S/4 HANA, SAP HANA SQL, SAP Reporting, or other related tools. In Addition to the Qualifications Listed Below, the Ideal Candidate Will Also Have: Working understanding of financial transactional flow and SAP general ledger concepts such as company codes, chart of accounts, ledgers, coding blocks, profit centers, cost centers, and currencies. Foundational understanding of financial allocations concepts, including cost allocations, profitability analysis, or related finance functions such as FP&A, management reporting, or financial close processes. Demonstrated curiosity and eagerness to deepen technical and functional expertise within the SAP PaPM space and broader finance technology landscape. Good communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders. Strong analytical and problem-solving skills with an ability to work with ambiguous and incomplete information. Working knowledge of agile software development concepts including backlog tracking, participation in scrum ceremonies, and incremental delivery. A growth mindset with a desire to develop within the SAP Finance configuration job family, taking on increasing responsibility over time as expertise and confidence grow. About Us Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices California Los Angeles Incorporated Los Angeles Unincorporated Philadelphia San Francisco", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516867105", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"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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