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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Appropriately applies clinical expertise to claims and delivers services in an efficient and effective manner. Accurately and appropriately documents time tracking for work performed. Achieves annual time tracking goal. Handles special projects as assigned. Spanish Speaking - highly preferred Ability to analyze and make sound nursing judgments and to accurately document activities. Strong communication skills in order to build relationships with injured employees, medical professionals, employers, field claims staff and others. Good negotiation skills to effectively establish target return to work dates and coordinate medical care. Knowledge of state, local and federal laws related to health care delivery preferred. Personal computer knowledge and proficiency in general computer applications such as Internet Explorer and Microsoft Office (including Word, Excel and Outlook). Degree from an accredited nursing school required (prefer Bachelor of Science in Nursing). Minimum of 3 to 5 years of clinical nursing experience; prefer previous orthopedic, emergency room, critical care, home care or rehab care experience. Previous medical case management experience a plus. Must also have current unrestricted registered nurse (R.N.) license in the state where the position is based and other assigned states as required by law. 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Quantify the impact of key bodies of work by applying analytical techniques to translate value hypotheses into defensible, data-backed assessments that stand up to scrutiny Develop and refine key metrics, KPIs, and targets for transformation initiatives and core workstreams, ensuring each body of work has clear, measurable indicators tied to Our Path to 2030 objectives. Deliver actionable insight to leadership that informs prioritization decisions, surfacing what is working, what is at risk, and where resources and focus should shift to protect or accelerate value. Partner with business and technology leaders as part of broader working teams to understand initiative scope, validate value assumptions, and build shared alignment on how impact will be measured and realized. Build and maintain reporting that tracks plan versus actual performance at the initiative level, making trends, variances, and opportunities visible and actionable. Pressure-test business cases and assumptions with rigor and constructive challenge, holding stakeholders accountable to committed outcomes and flagging risks early. Contribute to the evolution of the value realization framework and measurement standards used across the Transformational Office, helping codify best practices as the capability matures. Embrace a one-transformation-office mindset. The transformation office is a small team, meaning that everyone wears multiple hats. While value capture is the key responsibility, you should expect to contribute to adjacent priorities when deemed fit. We succeed as one team. Masters Degree in Mathematics, Economics, Statistics or any other quantitative field plus a minimum 5 years of applied business / non-academic experience preferred. For non-Masters Degree candidates, Bachelor's Degree and minimum of 7 years of applied business/non-academic experience, or equivalent. Proven track record of developing and applying modeling to business problems. Deep knowledge of data sources, tools and business drivers. Comprehensive understanding of the insurance value chain -- from underwriting and pricing through claims, operations, and distribution -- with the ability to connect process-level knowledge to financial and operational value drivers across the business. Ability to apply more advanced analytical concepts to improve business outcomes. Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, Emblem). 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Able to manage complex technology development concepts, capabilities and maturity. Requires excellent analytical ability, consultative, communication, presentation and management skills, strong judgment and ability to effectively liaise with cross functional stakeholders and optimize teams. Demonstrated ability to operate collaboratively and build consensus. 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Analyze a wide range of performance reports and metrics and identify portfolio trends and insights on a regular cadence. Synthesize and communicate relevant trends and insights to diverse stakeholders through recurring updates. Use insights to identify, research, develop, and socialize business cases for actionable portfolio and underwriting improvement opportunities. Leverage technology, data, training, tools, guidance, and other reinforcement mechanisms to ensure consistency of quality underwriting & pricing decisions for Commercial Auto Lead execution of prioritized initiatives and moderate-high complexity projects, including cross-functional coordination and project management (building work plans, aligning stakeholders, managing timelines, and tracking outcomes). Support competitive intelligence, pricing and product strategy research, and market monitoring to inform underwriting strategy in support of annual planning, State of the Line, and other strategic forums. Support Office of Underwriting-prioritized processes and tools, such as the go-forward data architecture. Partner with segment/field teams to complete prioritized projects such as Auto audits, technical underwriting assessments, and targeted deep dives. Draft and maintain Commercial Auto technical underwriting reference materials as needed. Serve as a technical Commercial Auto Underwriting SME to Product, Actuarial & Analytics, Data Science, Technology and segment/field Underwriting Teams. Monitor and respond to emerging issues impacting Commercial Auto via product development and/or technical underwriting guidelines/guidance Develop and present training on complex topics to support execution and profitability for assigned product line. Bachelor's degree Strong verbal and written communication skills. At least 7-10 years of related work experience with demonstrated progression of responsibility Strong analytical, and problem-solving skills. Proficient in Excel and PowerPoint Must have good planning, organizational, analytical, and decision-making skills. 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Minimum 10+ years of Technology related experience, engineering experience preferred Minimum 5+ years in leadership role. Minimum 5+ years' technical experience leading projects and portfolio management Creates a compelling and flexible implementation roadmap with input from several key partners. Operate as a subject matter expert for Finance Systems in the portfolio, be a point of contact for integration with upstream and downstream processes. Manage financial and regulatory complexities. Ensure adherence to enterprise design, technical architecture, standards, audit and change management. Manage projects including resource allocations, financials/budgets, work plans, issue & risk management, and status reporting. Dynamic leader who can energize multi-disciplined work teams to develop and execute strategies based on current and anticipated needs. Provides direction in resolving conflicts, as well as coaching poor performers to improved levels of performance. In-depth knowledge of IT concepts, strategies and methodologies and their application to business opportunities. In-depth knowledge of business operations, objectives and strategies. Advanced knowledge of management concepts, practices and techniques. Ability to promote a team environment consisting of several teams Knowledge of Financial concepts and the insurance industry, including familiarity with Premium & Losses and managing risk. Highly developed negotiation, facilitation and consensus building skills. Highly developed oral and written communication skills; strong presentation skills.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618515955037", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618516349053, "name": "Senior Data Engineer, Data Science Infrastructure", "posting_name": "Senior Data Engineer, Data Science Infrastructure", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1777340100, "t_create": 1774452720, "ats_job_id": "75248", "display_job_id": "2026-75248", "type": "ATS", "id_locale": "2026-75248-en", "job_description": "Description Modeling Data Solutions is seeking experienced data engineers to join our Data Solutions job family. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. This is a range posting. Level of position offered will be based on skills and experience at manager discretion. This role may have in-office requirements based on candidate location. In this role, you can expect to: Lead the design, development, and maintenance of scalable and efficient data pipelines and ETL/ELT processes to support analytics and pricing models. Architect and implement high performance data integration solutions using modern tools and cloud services (AWS preferred) with attention to latency, throughput and cost. Implement and maintain automated data quality and testing frameworks (unit, integration, regression, anomaly detection) to ensure data correctness and trust for downstream analytics Collaborate with cross functional teams, including data scientists, product analysts, software engineers, to gather requirements, design solutions, and provide technical guidance for production launches Optimize and tune data infrastructure for performance, scalability, reliability and cost-efficiency (query tuning, partitioning, resource configuration, storage formats such as Parquet/Delta). Mentor and guide junior data engineers, promoting engineering best practices, code review and thoughtful design. Stay up-to-date with advancements in data engineering, evaluate new tools and recommend adoption where appropriate. Identify opportunities to apply Gen AI for data discovery, lineage summarization, automated documentation, query generation and developer productivity (prompt engineering and code generation) Incorporate Gen AI capabilities into data workflows and developer tooling and help operationalize safe, cost-effective Gen AI integrations. The ideal candidate will: Have strong technical aptitude with data extraction and data engineering platforms (Python, Spark/PySpark, SQL, cloud computing: AWS and Snowflake). Demonstrate 5+ years of experience building production data pipelines and platforms, with both batch and streaming experience Possess hands-on experience with data quality testing frameworks and practices, and experience implementing automated data tests and validation. Have practical experience collaborating in Agile teams and applying Agile best practices (sprint planning, refinement, retrospective). Have excellent communication skills and the ability to work with technical and non-technical stakeholders. Preferred qualifications: Familiarity with ML pipelines and supporting feature stores or feature engineering workflows (Databricks). Prior mentoring or technical leadership experience. Qualifications Strong written and oral communication skills required Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred Master`s in same or related disciplines strongly preferred 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake. 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/618516349053", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618516485556, "name": "Pricing Actuary", "posting_name": "Pricing Actuary", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Boston, Massachusetts, United States", "Suwanee, Georgia, United States", "Portsmouth, New Hampshire, United States", "Chicago, Illinois, United States"], "hot": 0, "department": "Actuarial", "business_unit": "0116-GRS-Actuarial-US", "t_update": 1776081420, "t_create": 1775162760, "ats_job_id": "75365", "display_job_id": "2026-75365", "type": "ATS", "id_locale": "2026-75365-en", "job_description": "Conduct deep dive analyses on the Umbrella portfolio to support strategic decision-making Understand pricing holistically across both primary lines and umbrella layers, ensuring alignment and consistency in pricing methodology. Own, maintain, and enhance complex pricing tools, including umbrella rating models and related workflows Diagnose and resolve model performance and behavior issues, ensuring pricing tools produce appropriate and reliable results Partner closely with underwriting, IT, and other non\u2011actuarial stakeholders to explain model behavior and pricing outcomes Support Umbrella rate filings by preparing exhibits for policyholder disruption and pricing justification Contribute to prioritization decisions and delegate work to more junior team members as appropriate. Experience working in environments with complex data sourcing and system dependencies Ability to operate effectively while balancing enhancement work with ongoing production responsibilities Experience collaborating with adjacent teams or shared resources supporting data acquisition and preparation Strong organizational skills and a practical, solutions\u2011oriented approach to production actuarial work Bachelor's degree required; Master's degree preferred. Associateship or Fellowship in the Casualty Actuarial Society (ACAS/FCAS) designation preferred or comparable education/designation with relevant experience. Minimum 5-7 years relevant experience required. Sound knowledge of actuarial techniques and standards, as well as other business operations including financial, underwriting, legal, statistics, claims, sales, etc. Advanced communication and interpersonal skills and ability to build relationships and interact effectively with others within and outside the organization. Ability to motivate and mentor peers and motivate and train subordinates. 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Leverage strong technical acumen to evaluate trade-offs and ensure the backlog reflects both near-term delivery needs and long-term platform quality goals. UAT Coordination Across E2E Journeys & Domains: Lead and coordinate User Acceptance Testing across end-to-end customer journeys and all Frontier domains. Partner with domain PPOs, POs, business stakeholders, and our system integration partner to ensure UAT cycles are well-planned, entry/exit criteria are clear, and business sign-off is achieved on schedule. Post-Launch Defect Management & Trade-Off Leadership: Lead defect reporting, triage, and prioritization post-launch, serving as the central coordination point between business and technology. Facilitate trade-off conversations -- balancing severity, business impact, customer experience, and delivery capacity -- to drive clear, timely decisions. Quality Roadmap & Risk Management: Lead quality road mapping in partnership with Technology, the Transformation Office, domain PPOs, and the external System Integrator. Act as primary escalation point for quality-related risks across the program -- whether from test coverage gaps, environment instability, automation debt, or post-launch defect trends. Stakeholder Engagement: Regularly communicate quality status, UAT readiness, defect trends, and risk posture to cross-domain stakeholders. Translate technical quality metrics into business-meaningful insights for leadership. Sets cross portfolio quality strategy and translates into roadmaps based on ongoing stakeholder input. Accountable for quality-related product KPIs (e.g., defect escape rates, automation coverage, UAT cycle times, post-launch resolution SLAs). Leads IT and business leadership alignment on priorities while removing roadblocks to execution. Owns and maintains the cross portfolio/program level quality backlog and its prioritization. Contributes to and leads portfolio quarterly planning. Leads analysis and reporting on feasibility, cost of delay, and other aspects of planned or potential changes. Experience with large-scale core platform transformations (Guidewire implementations, etc.) strongly preferred. Bachelor's degree in a relevant field (computer science, engineering, business, etc.) and a minimum of 10 years direct experience with Agile teams as well as 7 years in business, technology, or consulting. Master's degree preferred. Strong technical proficiency required -- experience with test automation strategies, quality tooling ecosystems, and software engineering practices is essential. High level of proven business expertise to set clear priorities and understand business value impacts. Strong stakeholder relationship building and influencing across multiple organizational boundaries. 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