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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"Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Product Management", "business_unit": "3042-Enterprise Transformation & Solutions-US", "t_update": 1785186660, "t_create": 1784744400, "ats_job_id": "76910", "display_job_id": "2026-76910", "type": "ATS", "id_locale": "2026-76910-en", "job_description": "Develop and lead multi-year category strategies for enterprise technology spend, aligning to business priorities, technology roadmaps, transformation initiatives, and financial objectives Maintain a current understanding of technology industry trends, supplier capabilities, commercial models, economic conditions, and regulatory changes \u2014 translating insights into actionable procurement strategies Advance Procurement's continuous improvement roadmap, including process discipline, operating model enhancements, systems adoption, analytics maturity, and category management best practices Build, manage, coach, and develop a high-performing team of category managers and analysts responsible for executing technology category strategies and partnering with internal stakeholders and external suppliers Establish short- and long-range operating objectives, staffing plans, and performance goals to achieve category objectives \u2014 including spend under management, savings, value creation, risk reduction, supplier performance, and stakeholder engagement You have significant experience developing and executing category strategies across technology spend including software, cloud, infrastructure, hardware, telecom, IT services, cybersecurity, data, digital platforms, and professional services. You bring deep knowledge of technology supply markets, supplier ecosystems, commercial models, pricing structures, licensing constructs, and emerging technology trends. You are a confident and credible spokesperson for Procurement, with a proven ability to partner with senior technology leaders, business executives, finance, legal, and risk stakeholders. You know how to align procurement strategies with enterprise technology roadmaps and transformation priorities, and you can influence, challenge, and defend recommendations at the highest levels. AI-First Mindset You lead with an AI-first orientation and have hands-on experience applying AI to strengthen category strategies \u2014 from spend analysis and market intelligence to supplier evaluation and negotiation preparation. You are passionate about championing adoption, upskilling teams, and embedding AI-enabled ways of working across category management and sourcing execution. Sourcing & Negotiation Excellence You have a track record of leading complex supplier negotiations and strategic sourcing initiatives, including enterprise agreements, renewals, supplier consolidation, commercial optimization, and risk mitigation across high-value technology spend. You are an inspiring leader who builds, coaches, and empowers high-performing teams. You instill a culture of accountability, ownership, and sound decision-making while creating an environment where people can do their best work. Analytical & Commercial Acumen You bring very strong analytical, financial, and commercial skills \u2014 including experience evaluating total cost of ownership, demand management opportunities, supplier performance, and overall business value. Communication & Executive Presence You communicate with clarity, confidence, and conviction. You are a skilled presenter and influencer who can engage effectively at all levels of the organization. Education: Bachelor's degree in business, Supply Chain, Finance, Technology, or a related field or equivalent experience Experience: 7-10 years in technology procurement, strategic sourcing, category management, or supplier management Technology: Experience with procurement technologies including CLM, supplier management platforms, and analytics tools; Ariba or similar sourcing platforms preferred Tools: Highly proficient in Microsoft Office \u2014 Excel, Word, and PowerPoint Establish and maintain strong executive stakeholder relationships, acting as a trusted advisor on technology market dynamics, supplier strategy, demand management, commercial models, and total cost of ownership Ensure Procurement is engaged early in relevant technology initiatives, projects, renewals, and investment decisions to improve planning, sourcing outcomes, supplier performance, and risk management Collaborate with senior functional leaders to challenge requirements where appropriate and identify opportunities to reduce demand, standardize specifications, consolidate suppliers, improve commercial terms, and optimize total cost of ownership Guide the category strategy team in applying a rigorous, data-driven approach including spend analysis, market intelligence, supplier segmentation, opportunity assessment, sourcing prioritization, and benefits tracking Develop and implement governance frameworks for technology spend to improve visibility, decision-making, compliance, supplier accountability, and alignment with enterprise priorities Provide direction to cross-functional sourcing and category teams to achieve the optimal balance of business needs, supplier value, risk management, speed to market, and long-term enterprise value", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618518608098", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618518277291, "name": "Executive Underwriter, Cyber Technology Errors & Omissions", "posting_name": "Executive Underwriter, Cyber Technology Errors & Omissions", "location": "New York, New York, United States", "locations": ["New York, New York, United States", "Philadelphia, Pennsylvania, United States", "Boston, Massachusetts, United States"], "hot": 0, "department": "Underwriting", "business_unit": "3026-GRS-North America-US", "t_update": 1784558580, "t_create": 1783441800, "ats_job_id": "76765", "display_job_id": "2026-76765", "type": "ATS", "id_locale": "2026-76765-en", "job_description": "Manages portfolio of brokers/agents & clients. Provides significant input into the business and marketing planning process, including advanced data-driven insights from portfolio analysis. Participates in projects across departments designed to drive underwriting and process excellence (e.g., member of a working team) and cross-sell collaboration. Degree in Business or equivalent typically required A minimum of 7 years expected, typically 5 years or more, of progressive underwriting experience and/or other related business experience CPCU or professional insurance designation preferred Proven analytical ability to evaluate and judge underwriting risks within scope of responsibility Demonstrated ability to communicate complex analyses and information in understandable written and/or oral directives to other persons in the organization for underwriting or training purposes Demonstrated effective communication and interpersonal skills in dealing with internal and external stakeholders Must demonstrate comprehension of most complex technical underwriting issues and be capable of defining and implementing necessary underwriting and administrative processes/workflows to properly manage or administer those issues Proven track record of developing and underwriting profitable business", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618518277291", "isPrivate": false, "latlongs": "40.7127753,-74.0059728"}, {"id": 618518277294, "name": "Senior Underwriter - Cyber Technology Errors & Omissions", "posting_name": "Senior Underwriter - Cyber Technology Errors & Omissions", "location": "Chicago, Illinois, United States", "locations": ["Chicago, Illinois, United States"], "hot": 0, "department": "Underwriting", "business_unit": "3026-GRS-North America-US", "t_update": 1783963560, "t_create": 1783441800, "ats_job_id": "76766", "display_job_id": "2026-76766", "type": "ATS", "id_locale": "2026-76766-en", "job_description": null, "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618518277294", "isPrivate": false, "latlongs": "41.88325,-87.6323879"}, {"id": 618517540260, "name": "Senior Data Engineer, Investments Technology (Enterprise Data Management)", "posting_name": "Senior Data Engineer, Investments Technology (Enterprise Data Management)", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1782241560, "t_create": 1780598460, "ats_job_id": "76286", "display_job_id": "2026-76286", "type": "ATS", "id_locale": "2026-76286-en", "job_description": "Design, develop, maintain, and support data management workflows, data models, and integration processes. 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": 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": 1782241440, "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": 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": 1782241380, "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": 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": 1782241440, "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": 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": 1782241440, "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. 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Develop technology enabled recommendations to address gaps within a single business process. Participate in the development of tools and methodologies and adapt them to the organization environment. Manage peer to peer relationships, with colleagues, vendors and external contractors, including offshore functions. Assist with development and execution of cutover plans for simple processes. Assist in post-implementation support, resolving issues and raising defects to appropriate level. Execute transition plan for area of responsibility to the appropriate resource for each phase of the project or initiative. Employer will accept a Bachelor's degree in Computer Science, Engineering [any] or related field and five (5) years of experience in the job offered or in a Solutions Engineer, Data-related occupation. * Design and implement data solutions of high complexity including data solutions for applications with a Mean Time To Recovery of 4 hours or less. Work closely with application team to ensure data needs meet business needs and align with architecture standards for support and security. Create applications with a high degree of observability utilizing Observability tools including Datadog. Guide senior level engineers on design practices and work closely with architects to influence strategic decisions. Drive the identification of key enablers and maintain a 12-month roadmap for aligned software products to meet business needs. Proficiency with Relational Databases and NoSQL databases including Oracle. Proficiency with cloud-based providers and containerized solutions including AWS. Experience may be gained during graduate program. Will accept any suitable combination of education, training, and/or experience. 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Develop maintainable or scalable, effective, defect free source code that meets business requirements and team standards. Employer will accept a Bachelor's degree in Computer Science, Engineering (any) or related field and seven (7) years of experience in the job offered or in a Principal Software Engineer-related occupation. * Develop and maintain mainframe applications using COBOL. Troubleshoot complex IT issues for new products including modeling refresh launched to handle online and batch specific transactions. Lead design reviews, produce clear architectural artifacts, and articulate technical trade offs to both technical and non technical audiences. Provide mentorship, support, and guidance to junior engineers through 1-1s and pair programming. Build and iterate software prototypes under tight deadlines. Both heads down coding time as well as active participation in product design, demonstration, testing and support. Experience may be gained during graduate program. Will accept any suitable combination of education, training, and/or experience. 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!important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} .fa-brands{-webkit-font-smoothing: antialiased; font-style: normal; font-variant: normal; line-height: 1; text-rendering: auto;font-family: 'Font Awesome 6 Brands'} .position-details li{list-style-type: disc;} .header-wrapper{display:none!important;}.disability p {text-align:center!important;background-color:#F0F0F0!important; height:45px!important;padding-top:12px!important;} .disability a {color:blue!important;text-decoration:underline!important;} @media only screen and (max-width: 1325px){.disability p {height:67px!important;}} @media only screen and (max-width: 675px){.disability p {height:92px!important;}} @media only screen and (max-width: 480px){.disability p {height:114px!important;}}h4{margin-top: 5px;font-weight: 600;}