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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Remote, United States", "Portsmouth, New Hampshire, United States", "Indianapolis, Indiana, United States"], "hot": 0, "department": "Digital Customer Experience", "business_unit": "3035-GRS-Office of Operations-US", "t_update": 1774642260, "t_create": 1774447440, "ats_job_id": "75243", "display_job_id": "2026-75243", "type": "ATS", "id_locale": "2026-75243-en", "job_description": "You have a passion for crafting exceptional user experiences and a track record of delivering impactful products from concept to launch. You are able to win hearts and minds around user-centered design and the importance of usability as a business driver. You will shape and maintain design principles, patterns, and systems to ensure coherence and scalability across products; set measurable success metrics; partner with product, engineering, experience design and research, and leadership to surface opportunities and remove blockers. You can evangelize human-centered design across the organization while mentoring more junior team members to raise craft and consistency. You should be excited to explore the opportunities that AI technology presents for making experiences better for both our users and our Experience Design team. *A digital portfolio we can review online is required Bachelor's degree and 10+ years of professional experience, including a strong background in UX strategy with a high bar for quality and impeccable attention to detail Familiarity with the following core disciplines, with demonstrated mastery in at least two and expertise in two others: visual design, prototyping, front-end development, experiment design, user research, design systems, service design, data visualization A foundation in AI, Natural Language Processing, and Machine Learning knowledge, including experience working with LLMs and human-in-the-loop workflows Ability to independently make smart, strategic, and user-centered design decisions- identifying the highest-impact questions, negotiating scope, and managing trade-offs - while remaining open to continuous iteration as needs, trends, and requirements change Skill in translating insights into frameworks, opportunity backlogs, and decision artifacts (scorecards, one-pagers), and synthesizing complex technical findings into clear, actionable narratives for different audiences (Product, Engineering, and senior leadership) Proven track record of independently scoping, prioritizing, and delivering end-to-end product design vision across teams of designers in ambiguous, multi-stakeholder environments Ability to work effectively through ambiguity and build alignment across all levels of the organization from cross-functional partners to senior leadership Strong organizational and analytical thinking skills, with the ability to translate technically complex content into user scenarios, flows, and diagrams. As typically acquired through a Bachelor`s degree or equivalent experience and 10+ years of experience in a related field: Expertise in methodologies such as Agile, Design Thinking, Lean UX, and Lean Startup Familiarity with the following core disciplines, with demonstrated mastery in at least two and expertise in two others: visual design, UX design, prototyping, front-end development, user research and/or experiment design Exceptional written and oral communication skills (comfortable in interacting with all levels of the company Proven ability to create alignment among senior management on ideas/projects/process Strong organization and analytic thinking skills, with ability to translate highly complex and technical content into user scenarios, flows and diagrams Proven track record of collaborating effectively at all levels of the organization Operate as a thought partner to our product leaders and stakeholders representing the voice of our users at every step, and sharing strategic plans early and often, seeking constructive feedback and integrating feedback to improve solutions Provide creative direction and conduct design reviews to ensure that the overall vision for products is achieved", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516348957", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618515932978, "name": "SBU System Support Analyst", "posting_name": "SBU System Support Analyst", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "3029-USRM-Experience & Strategy-US", "t_update": 1775071260, "t_create": 1772562480, "ats_job_id": "74846", "display_job_id": "2026-74846", "type": "ATS", "id_locale": "2026-74846-en", "job_description": "Actively seeks out and provides constructive feedback to peers and consistently engage in team meetings and department forums to foster a positive work environment, collaboration and contribute to a dynamic team culture. Loves problem solving, with a proven track record of proactively identifying and driving forward change. Learns new concepts, processes, and tools quickly. Utilizes generative AI to streamline processes and enhance efficiencies. Communicates clearly and effectively conveys complex messages, insights, and recommendations to various stakeholders in both formal and informal settings. Safeco Property & Specialty Extensive Safeco experience Experience with Auto, Landlord and/or Umbrella lines of business Able to translate complex current\u2011state workflows into intuitive future\u2011state application designs--even when the screens and functionality don't yet exist. Experience testing CFA front end Bachelor`s degree in business or technical discipline or equivalent experience. Minimum of 3 years related experience. General knowledge of business operations, objectives and strategies as well as business process and information flow. General knowledge of IT concepts, strategies and methodologies. General knowledge of diverse technologies and new and current architectures. General understanding of re-engineering issues and challenges. Skills in object, data and/or process modeling; financial analysis and planning; business process design. Negotiation skills; oral and written communication skills. Drive business value by supporting the delivery of highest priority initiatives using thorough research techniques and rating knowledge with an Agile mindset Actively participate in discussions to ensure clarity, communicate rating outcomes, raise blockers, and provide recommendations for next steps. Create and proactively maintain comprehensive requirements and project documentation with thorough research and analysis to support project clarity and continuity that is easily accessible and understood regardless of domain or portfolio. Provides pre and post-production support by validating and monitoring impactful systems enhancements, changes and defects to our customers, stakeholders and support partners. Working in Jira and Agile Experience", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618515932978", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618513796391, "name": "GenAI Security Platform Architect", "posting_name": "GenAI Security Platform Architect", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Indianapolis, Indiana, United States", "Portsmouth, New Hampshire, United States", "Indianapolis, Indiana, United States", "Plano, Texas, United States", "Remote, Remote, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1775016120, "t_create": 1760381640, "ats_job_id": "72651", "display_job_id": "2025-72651", "type": "ATS", "id_locale": "2025-72651-en", "job_description": "Bachelor's degree in Computer Science, Engineering, Information Security, or equivalent experience. Minimum 8+ years in Cybersecurity with 3+ years focused on securing AI/ML systems or GenAI applications in production. CISSP certification required Demonstrated deep technical experience designing secure architectures for: ML pipelines and MLOps platforms (data ingestion, feature stores, training, model registry, deployment, monitoring). GenAI workloads (LLM APIs, fine-tuning, RAG, vector databases, agent frameworks). Cloud-native environments (containers/Kubernetes, serverless, service mesh, VPC/network security). Strong knowledge of AI-specific threats and mitigations: data poisoning, model inversion/membership inference, model theft/IP protection, adversarial examples, prompt injection/jailbreaks, exfiltration via outputs, and LLM supply chain risks. Practical familiarity with security frameworks and standards: NIST AI RMF, OWASP Top 10 (including LLM apps), MITRE ATT&CK and ATLAS, or similar. Hands-on experience implementing: Identity and access controls for AI services (service principals, fine-grained IAM, token and key management). Secrets management (Vault, KMS/Key Vault/Cloud KMS/HSM), encryption-in-transit/at-rest, data tokenization, DLP. Monitoring/logging for AI systems (model telemetry, prompt/response logging with privacy controls, drift/anomaly detection). Demonstrated ability to quickly learn and build expertise in diverse and emerging technologies and new architectural concepts and principles 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 Strong desire to drive change, and ability to adapt to change quickly Excellent communication skills; ability to influence architecture and risk decisions across engineering, product, and executive stakeholders. Experience with enterprise GenAI platforms and tools: MLOps: SageMaker, Vertex AI, Cortex, AWS ML, Azure ML, MLflow, KServe/Seldon/Triton, Feast/Tecton HuggingFace. LLM/GenAI: Azure OpenAI, AWS Bedrock, OpenAI, LangChain/LangGraph/Semantic Kernel, vector DBs (Pinecone, Weaviate, FAISS/Chroma), guardrails/middleware (e.g., Llama Guard, Lakera, Protect AI, Robust Intelligence, HiddenLayer), GitHub Copilot, GitHub Copilot Coding Agent, Devin.ai, M365 Copilot, Copilot Web. Observability: Prometheus/Grafana, ELK/Opensearch, Splunk, Cribl; AI eval frameworks and red-team tooling. Advanced degree (MS/PhD) in Security, ML/AI, or related field is a plus. Automate-by-default: codify controls in pipelines and platforms rather than relying on manual gates.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513796391", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618516348963, "name": "Product Owner II, Underwriting", "posting_name": "Product Owner II, Underwriting", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Technology", "business_unit": "3035-GRS-Office of Operations-US", "t_update": 1774641840, "t_create": 1774448400, "ats_job_id": "75244", "display_job_id": "2026-75244", "type": "ATS", "id_locale": "2026-75244-en", "job_description": "Building on a foundation of strong backlog management and analytics, you will take ownership of complex products and initiatives often spanning multiple teams, systems, or business domains. With the squad, accountable for developing and achieving product level KPIs Manages product(s) with a moderate degree of strategy, scope, and complexity Owns and maintains the product backlog and is accountable for its contents and prioritization Accountable for clear, actionable user stories Participates in squad/team demos, retrospectives, and all other ceremonies Balance tactical and strategic decisions for the product, collaborating with peer product owners, managers, portfolio product owners, and other technical leaders, as necessary Works with Business Agility & Tech to create PI plans that align to the short- and long-term product strategy, raising concerns & dependencies Authors features that support high level missions and readies for team consumption Understands customer needs through exposure to research / discovery (quantitative & qualitative) and testing & uses this to optimize experiences Attend (and occasionally lead) sessions with users, customers, SMEs, to gain thorough understanding the product, immediate opportunities, and long-term direction Partner with User Experience to ensure the products delivered strike the right balance between intuitive, simple, cohesive, and complete Monitors and maintains the product health, proactively monitors impact of their product on others in the ecosystem Analyzes and reports on feasibility, cost of delay ramifications, economies, or other aspects of planned or potential changes to the product Drives alignment with stakeholders to understand the impact that their products' regulatory, compliance, and other industry constraints will have on other products in the portfolio Negotiates with internal and external squads/teams to set aligned priorities among squads/teams both within and outside the portfolio Champion AI-driven pilots and production initiatives: partner closely with Data Science and Tech to define AI use cases (e.g., risk scoring, triage, anomaly detection), prioritize experiments, and translate model outputs into actionable underwriting workflows Ensure safe, responsible deployment of AI: collaborate on model validation, monitoring, explainability, and human-in-the-loop design to maintain underwriting oversight and regulatory compliance Drive adoption for AI-enhanced underwriting capabilities by helping design UX flows, and feedback loops so underwriters can trust and use model-informed recommendations Shape and communicate the product vision, ensuring alignment with strategic priorities across teams and executive leadership Translate recommendations into strategic actions that support GRS priorities with minimal coaching Articulate and quantify product value and measurable outcomes from digital investments Collaborate with the agile working group to clarify business needs, remove roadblocks, and align on product strategy Champion experimentation and AI adoption: run hypothesis-driven pilots with Data Science, define success metrics/ROI, and maintain an innovation sandbox with appropriate guardrails Help establish an innovation sandbox and guardrails for rapid prototyping, ensuring ideas are matured into production-ready capabilities with appropriate controls Prior Underwriting (or other operations) experience and knowledge related to middle market and large commercial insurance, reinsurance and/ or Surety is highly desired Understanding of underwriting risk drivers and how data, machine learning, and AI can augment risk assessment, pricing, and exposure management Familiarity with model governance, regulatory considerations for automated decisioning, and the need for explainability of AI-enabled outputs Knowledge of Agile development methodologies and IT project management as typically acquired through a Bachelors` degree in relevant field (business, computer science, humanities etc.) and a minimum of 3 to 5 years direct experience with agile teams as well as 7 years in business, technology, or consulting. Able to depict and explain the importance of complex ideas, issues and designs to varied audiences; educate SBU/department(s) on business vision and plan and the impact of change. Able to influence a diverse group of stakeholders; strong leadership skills. Able to make difficult and quick decisions daily. Strong problem solver with demonstrated ability to lead a team to push the solutions and progress. Experience in the insurance industry preferred. Knowledge of relevant products and portfolio preferred. Strong experimental mindset to drive innovation amongst uncertainty.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516348963", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"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": 1774973160, "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). Expertise in defining and managing API and event-based data contracts (OpenAPI/AsyncAPI, Avro/Protobuf) and secure data access (RBAC/ABAC).", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618514148164", "isPrivate": false, "latlongs": "33.0198431,-96.6988856"}, {"id": 618516165915, "name": "Product Owner, Investment Risk Management - Liberty Mutual Investments", "posting_name": "Product Owner, Investment Risk Management - Liberty Mutual Investments", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "New York, New York, United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1773859920, "t_create": 1773674940, "ats_job_id": "75062", "display_job_id": "2026-75062", "type": "ATS", "id_locale": "2026-75062-en", "job_description": "Risk Analytics Product Vision & Roadmap * Define and drive the product roadmap for investment risk reporting and analytics across LMI's total portfolio, translating risk framework requirements into prioritized, deliverable features. * Own the end-to-end product lifecycle: discovery, requirements, backlog management, delivery, and iteration based on stakeholder feedback and KPIs. * Partner with risk methodology leads, portfolio managers, and the CIO office to ensure the platform surfaces the right risk measures (VaR, tracking error, duration, credit exposure, concentration, stress/scenario analysis) with the right visualization at the right cadence. Data Quality & Platform Integrity * Drive root-cause analysis and remediation for data quality issues across risk reporting surfaces, partnering with source system owners (Aladdin, Snowflake, homegrown models), data engineering, and software engineering. * Build on LMI's OnePortfolio data foundation, a single source of truth across asset classes, mandates, and risk systems, to establish data analysis frameworks and quality gates that ensure reporting accuracy before it reaches investment decision-makers. * Collaborate with data governance and operations teams to trace, document, and resolve lineage issues from source to dashboard. * Lead 1-2 dedicated Scrum teams through sprint planning, backlog refinement, retrospectives, and reviews. * Design, own, and build full-stack applications in collaboration with Scrum teams to enable investment risk management, from data ingestion through interactive front-end reporting. * Own solutions within relevant vendor platforms (e.g., Aladdin), including configuration, integration, and feature adoption aligned to the risk roadmap. * Collaborate with UX/UI designers to build user-centered, accessible risk reporting interfaces. Stakeholder Partnership * Serve as the primary voice of the investment risk stakeholder community, translating portfolio manager and risk analyst needs into product priorities. * Lead cross-functional working groups spanning investment teams, operations, technology, and external vendors to align on requirements and delivery cadence. * Communicate product progress, trade-offs, and roadmap decisions to senior leadership within Global Investment Solutions. Required 7+ years in product ownership, business analysis, or analytics roles within institutional investment management, with direct exposure to risk reporting or risk systems. Working knowledge of investment risk measures and concepts: market risk (VaR, duration, convexity), credit risk (ratings, spreads, default probability), liquidity risk, and concentration risk. Experience with institutional portfolio management platforms, particularly BlackRock Aladdin; familiarity with Snowflake, homegrown risk models, and AI-enabled analytics tooling is a strong plus. Demonstrated ability to deliver dashboard and analytics products from concept through adoption, with a portfolio of shipped features or platforms you can walk us through. Intermediate-to-advanced SQL skills for data analysis, investigation, and ad-hoc reporting across large, complex datasets. Strong agile delivery skills: you have led Scrum teams, managed backlogs with rigor, and can point to measurable improvements in delivery outcomes. Exceptional communication skills. You can translate between risk professionals, engineers, and executives without losing fidelity. Bachelor's degree in Finance, Economics, Mathematics, Computer Science, or a quantitative field; MBA, CFA, or FRM is a plus. Experience with total portfolio risk reporting spanning public markets (fixed income, equities) and private markets (private credit, alternatives, real assets). Familiarity with AI/ML applications in investment analytics. A practical understanding of how models can enhance risk detection, anomaly identification, reporting automation, product ownership workflow. CSPO, SAFe, or equivalent agile certification. Entrepreneurial mindset: you see whitespace and design.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516165915", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618516364025, "name": "Senior Software Engineer", "posting_name": "Senior Software Engineer", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "Indianapolis, Indiana, United States", "Columbus, Ohio, United States", "Plano, Texas, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1774894380, "t_create": 1774537260, "ats_job_id": "75269", "display_job_id": "2026-75269", "type": "ATS", "id_locale": "2026-75269-en", "job_description": "Experience with AI services and coding assistants, e.g., AWS Bedrock and GitHub Copilot Strong experience with AWS services Strong experience with API development using NodeJS and TypeScript/JavaScript Strong experience with CI/CD pipelines and continuous testing Strong experience with application observability tools, e.g., Datadog AWS or comparable certifications a plus A minimum of five years of software engineering experience A background in business operations and strategies, with a focus on business IT A history of translating client requirements into technical designs Agile engineering capabilities and a design-thinking mindset Collaboration, adaptability, flexibility and the ability to manage time and prioritize work with a globally distributed development team Strong oral and written communication skills - and a knack for explaining your decision-making process to non-engineers A thorough grasp of IT concepts, business operations, design and development tools, system architecture and technical standards, shared software concepts and layered solutions and designs Proficiency in software engineering languages and tools, including RESTful services, spanning horizontal and vertical packages An understanding of how modifications affect different parts of a system and an ability to explain your decision-making process to non-engineers 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/618516364025", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618514630692, "name": "Senior Analyst, Relationship Management - Liberty Mutual Investments", "posting_name": "Senior Analyst, Relationship Management - Liberty Mutual Investments", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1769713380, "t_create": 1766088960, "ats_job_id": "73738", "display_job_id": "2025-73738", "type": "ATS", "id_locale": "2025-73738-en", "job_description": "CRM (DealCloud) stewardship: Maintain DealCloud data integrity and usability through consistent data hygiene, basic governance support, and the upkeep of standard dashboards and reporting views for leadership and investment teams. Partner materials (\"tearsheets\"): Prepare customized partner tearsheets by consolidating and synthesizing data from multiple sources into clear, decision-useful summaries. Relationship planning & targeting support: Support relationship planning by maintaining key partner inputs and helping translate CRM activity and qualitative context into clear engagement priorities, and meeting preparation inputs. Content & materials support: Help maintain and improve access to core RM materials (e.g., partner-facing content, internal references) to support efficient preparation and consistent execution across engagements. Workflow standardization: Coordinate with analysts across the platform to standardize and centralize RM-related workflows, templates, tagging conventions, and reporting definitions. Meeting prep & follow-through: Provide timely support for leadership and investment teams, including pre-meeting preparation, follow-up coordination, and tracking against agreed engagement priorities. Engagement analytics & insights: Identify themes and trends across engagement activity and surface actionable insights to inform RM and investment team strategy and prioritization. 3-6+ years of relevant experience in relationship management, investor relations, client service, or a similar stakeholder-facing role within asset management, financial services, or a related field. Demonstrated ability to produce accurate, executive-ready outputs (e.g., summaries, partner briefs/tearsheets, updates) with strong attention to detail. Strong project management and prioritization skills; ability to manage multiple stakeholder requests with responsiveness and sound judgment. Experience working with CRM platforms (preferably DealCloud; Salesforce or similar acceptable) and comfort operating in a data stewardship role. Proven ability to build trust, navigate ambiguity, and partner effectively across senior stakeholders with professionalism, discretion, and responsiveness. Strong analytical skillset (advanced Excel; comfort synthesizing multiple inputs into clear outputs); strong PowerPoint skills preferred. Familiarity with private markets (e.g., PE, private credit, real assets). Demonstrates strong AI literacy and uses AI-enabled tools to enhance speed, accuracy, and insight generation while maintaining sound judgment and compliance with governance standards.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618514630692", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618515676508, "name": "Data Engineer", "posting_name": "Data Engineer", "location": "Plano, Texas, United States", "locations": ["Plano, Texas, United States", "Portsmouth, New Hampshire, United States", "Indianapolis, Indiana, United States", "Columbus, Ohio, United States", "Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1774282800, "t_create": 1771633260, "ats_job_id": "74730", "display_job_id": "2026-74730", "type": "ATS", "id_locale": "2026-74730-en", "job_description": "Develops, constructs, tests, and maintains data architectures for data platforms, database, analytical/reporting, or data science systems. Establishes and builds data systems including providing standards, policies, practice, procedures, governance and quality assurance for data deliverables. Design and develop low to moderately complex programs and tools to support ingestion, curation and provisioning of enterprise data to achieve analytics or reporting. Builds and designs data models and data architecture of low to moderate complexity that improve accessibility, efficiency, governance and quality of data. Make recommendations for how to improve data. Provides successful deployment and provisioning of data solutions to production or other required environments. Identify possible process improvements that address technology gaps within a single business process of moderate complexity. Design, develop, and maintain ETL/ELT pipelines using Snowflake and Informatica IDMC. Build and optimize data models, views, and tables for analytics and reporting. Write, review, and optimize SQL and Python for data processing and integrations. Manage data storage and movement using AWS (S3 and related services). Implement automated testing (unit, integration, regression) for pipelines and support test tooling. Improve CI/CD, deployment automation, orchestration (e.g., Control-M) and monitor data workflows. Troubleshoot data issues, perform RCA, and implement long-term fixes. Produce technical documentation, data lineage, and support data governance and quality initiatives. Participate in sprint planning, code reviews, and mentoring of junior engineers. Analyzes and prepare moderate to complex technology enabled recommendations to address gaps within a single business process. Bachelor's or Master's degree in a technical or business field, or equivalent experience. Generally 3 years of professional experience building data pipelines or data platforms. Hands-on experience with Snowflake and Informatica IDMC or similar ETL/ELT tools. 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