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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Management", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Product Management", "business_unit": "0027-LM Technology-US", "t_update": 1787164440, "t_create": 1782490980, "ats_job_id": "76642", "display_job_id": "2026-76642", "type": "ATS", "id_locale": "2026-76642-en", "job_description": "Develop and drive product vision, roadmap, and prioritization for a portfolio of data science enablement capabilities. Develop business value estimates and success measures to inform prioritization and evaluate outcomes. Represent the voice of the customer and incorporate stakeholder feedback into product decisions. Partner with Data Scientists, Data Engineers, Software Engineers, and Architects to support the development, deployment, monitoring, and adoption of machine learning and AI solutions. Explore and evaluate technical solutions that improve model development, deployment, operational efficiency, and user experience. Drive the development and adoption of reusable patterns and platform capabilities that enable teams to more effectively deliver data science solutions. Partner with cross-functional teams to identify and prioritize technical debt reduction, DevOps, and MLOps improvements. Serve as Product Owner for assigned capabilities, developing, maintaining, and prioritizing product backlogs aligned to roadmap objectives and customer needs. Partner with delivery teams to support effective planning, execution, and delivery using Agile practices. Lead discussions, planning sessions, and stakeholder engagements for complex initiatives. Communicate product plans, priorities, recommendations, and outcomes to stakeholders and leadership. Asst Director, Data Science Product Management- Bachelor`s degree in quantitative field with 5 to 7 years of related experience within insurance, actuarial, data science or technology product management. Master`s degree preferred. ACAS helpful. Dir I, Data Science Product Management- Bachelor`s degree in quantitative field with 7+ years, typically 10 or more years, of related experience within insurance, actuarial, data science or technology product management preferred. FCAS / ACAS preferred Master`s degree preferred Strong understanding of data science concepts, machine learning workflows, experimentation practices, and model lifecycle management. Demonstrated understanding of the end-to-end data science lifecycle, including model development, deployment, monitoring, and business value realization. Experience working directly with Data Scientists and partnering with Engineering and Architecture teams to deliver technical capabilities and business outcomes. Familiarity with model deployment, monitoring, experimentation, DevOps, and MLOps practices. Familiarity with modern data, analytics, and AI technologies (AWS, Azure, Databricks, etc.). Experience supporting enterprise AI/ML platforms, data science enablement capabilities, or model operationalization efforts. Demonstrated ability to evaluate technical solutions and translate complex data science, AI, and engineering concepts into actionable product decisions and business outcomes. Experience working effectively in large, complex, and highly matrixed organizations. Strong communication, stakeholder management, influence, and organizational leadership skills.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618518070296", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618519094888, "name": "Data Scientist: Property & Specialty Product Design & Modeling", "posting_name": "Data Scientist: Property & Specialty Product Design & Modeling", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1787606280, "t_create": 1786613820, "ats_job_id": "77179", "display_job_id": "2026-77179", "type": "ATS", "id_locale": "2026-77179-en", "job_description": "Assist on design of designing pricing programs deployment pipeline from modelling to product launch in coordination with the Deployments team Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions. Identifies and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business application. Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes. Customizes analytic solutions to specific stakeholder needs. Collaborates with other data science teams to successfully implement new pricing programs using Python packages as desired. Responsible for smaller components of projects of moderate-to-high complexity. Supports other property and specialty pricing programs including building models and rollouts with adjusting models due to state restrictions, building supporting documents and responding to DOI objections Regularly engages with the data science community and participates in cross-functional working groups. Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Advance knowledge of predictive toolset; expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Has a value-driven perspective with regard to understanding of work context and impact. Competencies typically acquired through 0-1 yrs. of related experience with a Ph.D., a minimum of 2-3 yrs. of experience with a master's degree, a minimum of 4+ yrs. of experience with a bachelor's degree.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618519094888", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618519164529, "name": "Senior Data Solutions Analyst: Operational Data & Reporting team", "posting_name": "Senior Data Solutions Analyst: Operational Data & Reporting team", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "Orlando, Florida, United States", "Plano, Texas, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Product Management", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1787602620, "t_create": 1786994520, "ats_job_id": "98296", "display_job_id": "2026-98296", "type": "ATS", "id_locale": "2026-98296-en", "job_description": "Design and develop scalable data solutions with a focus on reusability that enable effective self-service data consumption and can describe their value to the customer. Independently works on prototyping/developing data solutions that meet the needs of the organization and business customers. Coding scalable proof-of-concepts and solutions. 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) Designs proof-of-concept solutions utilizing and advanced understanding of multiple coding languages to meet technical and business requirements with an ability to perform iterative solution testing to ensure specifications are met. Strive to become a technical leader and mentor for the team, providing assistance & guidance to junior team members Optimize and tune data infrastructure for performance, scalability, reliability and cost-efficiency Prioritizes efforts based on customer value and can set expectations for deliverables of high complexity. Ensure data solutions include activities and deliverables required to achieve high data quality and displays a strong understanding of complex, multi-tier, multi-platform systems, applying principles of metadata, lineage, business definitions, compliance and data security to project work. 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 NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618519164529", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"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": 618514571625, "name": "Investments Data Product Owner - Liberty Mutual Investments", "posting_name": "Investments Data Product Owner - 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": 1784139660, "t_create": 1765574760, "ats_job_id": "73623", "display_job_id": "2025-73623", "type": "ATS", "id_locale": "2025-73623-en", "job_description": "Own the vision, strategy, and roadmap for sourcing, integrating and curating external market data into LMI's data warehouse and core data products. Develop and manage the product backlog, ensuring clear prioritization aligned with business value, technical dependencies, and stakeholder needs across the investment data ecosystem. Partner closely with the Data Engineering chapter to design and deliver scalable, well-governed, and high-quality data solutions across key investment data domains (e.g., security and company reference data, pricing, positions, transactions, benchmarks, and analytics). Act as the voice of the customer\u2014portfolio managers, traders, investment analysts, operations, risk, and compliance\u2014to ensure investment data is accurately modeled, curated, and accessible to meet end-user needs and decision-making requirements. Champion the integration of data across the investment lifecycle, connecting front-office trading and portfolio management, middle-office risk and performance, and back-office accounting and operations. Drive incremental delivery using Agile methodologies, facilitating sprint planning, review, and refinement activities. Ensure that data products adhere to LMI's standards for data governance, lineage, accessibility, and quality, with a focus on the unique demands of investment data accuracy and timeliness. Bachelor's degree in Computer Science, Engineering, Finance, or Business Administration (advanced degree preferred). 8+ years of experience as a Product Owner, Data Product Manager, or Data Strategist within financial services, preferably investment or asset management. Demonstrable knowledge of investment data domains, including security reference data, company/issuer reference data, benchmarks and indices, pricing and valuations, positions, holdings, and transactions across multiple asset classes (equities, fixed income, derivatives, and alternatives a plus). Strong understanding of how investment data flows through the trade lifecycle and supports portfolio management, performance, risk, and regulatory reporting. Strong understanding of data management concepts\u2014master data management, metadata, data lineage, and data quality frameworks\u2014applied specifically to investment data. Hands-on exposure to order management systems (OMS), accounting book of record (ABOR/IBOR), and market data vendor platforms (e.g., Bloomberg, Refinitiv, ICE, MSCI). Experience working in Agile/Scrum environments with a strong ability to lead, prioritize, and manage multiple workstreams. Excellent communication and storytelling skills; able to translate complex investment data concepts into clear business terms for both technical and investment audiences. Strong analytical and critical-thinking skills with a focus on driving business value through data. Demonstrated proficiency in SQL and AI tools; experience with Snowflake a plus.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618514571625", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618517849332, "name": "Senior Director, Personal Lines Auto Product", "posting_name": "Senior Director, Personal Lines Auto Product", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Product Management", "business_unit": "3043-USRM-PL Auto Product-US", "t_update": 1787231340, "t_create": 1782148200, "ats_job_id": "76494", "display_job_id": "2026-76494", "type": "ATS", "id_locale": "2026-76494-en", "job_description": "Lead the Auto Product Telematics Product organization, including Product Design & Experience, Product Monitoring & Analytics, Program Delivery & Support Capabilities, and Product Owners. Define and execute the long-term telematics strategy in support of USRM's growth, profitability, and customer experience objectives. Lead the evaluation of telematics program performance, economics, and value realization, ensuring products and capabilities deliver measurable outcomes for customers and the business. Scale telematics capabilities across Personal Auto, Claims, Small Commercial, and other emerging enterprise use cases. Own the telematics product portfolio, including roadmap development, prioritization, investment planning, and value realization. Partner with Product, Data Science, and Technology leaders to deliver innovative and scalable telematics capabilities. Develop and manage a portfolio of telematics data use cases that unlock value across underwriting, claims, customer experience, and operational workflows. Oversee telematics vendor strategy, vendor relationships, and vendor investment/performance management to maximize business value and performance. Drive the design and evolution of telematics customer experiences, including ownership of key mobile app experiences and customer touchpoints. Ensure successful rollout and adoption of telematics products and capabilities through strong program delivery and cross-functional execution. Partner closely with Service organizations to support frontline readiness, training, knowledge management, escalations, and customer support experiences. Monitor competitive trends, emerging technologies, and industry best practices to inform future telematics strategy and investments. Build, develop, and inspire a high-performing team while fostering a culture of innovation, accountability, collaboration, and continuous improvement. Influence and align senior leaders across the enterprise to advance strategic priorities and deliver business outcomes. Highly developed quantitative analysis and problem-solving skills Excellent leadership and communication skills Proven ability to influence other leaders across an organization 10+ years progressively responsible work experience in an analytically driven environment Previous experience in consulting or call center / customer service analytics in insurance or financial services preferred but not required MBA or advanced degree in quantitative field preferred but not required", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517849332", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618518198954, "name": "Principal Engineer", "posting_name": "Principal Engineer", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Boston, Massachusetts, United States", "Indianapolis, Indiana, United States", "Plano, Texas, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1787341620, "t_create": 1783341360, "ats_job_id": "76740", "display_job_id": "2026-76740", "type": "ATS", "id_locale": "2026-76740-en", "job_description": "Technical problem solver: Going far beyond simply developing error-free source code, test scripts, components and system architectures, you'll document and build deployment guides aimed at maintaining robust, relevant applications, integrations and data patterns. Motivated mentor: Exercise your technical chops while coaching and collaborating with junior engineers. Forward thinker: Merely fixing a problem isn't enough - using your proactive mindset and initiative, you'll also identify opportunities to enhance performance, quality and efficiency. Full Stack Development, Software Engineering, back-end application/platform engineering expertise within the digital and data spaces is most needed for this role. Experience with Tealium Tag Management, Tealium CDP, Adobe and Snowflake. These platform/tools are similar to others in the industry, i.e. Ensighten, Google Analytics, Google Tag Management, Content Square, HEAP etc. The PPE supports application and web analytics collection platforms to track and analyze user interactions on Liberty's customer and agent facing websites and applications to optimize digital performance. Experience with tag management platforms like Tealium, or Google Tag Manager (GTM), and Analytics systems such as Adobe Analytics, CJA, Customer Data Platform (CDP), Google Analytics, and solid foundation in JavaScript and back/front-end development is ideal. The PPE will ensure a consistent tagging approach that enables desired reporting while validating tagging and usability within both Adobe Analytics UI as well as raw clickstream data - during feature releases as well as any necessary regression testing. This role requires collaboration with cross-functional teams to define tagging requirements for digital properties, such as websites, mobile apps, and other digital platforms. Additional required skills: backend services (Java Script, AWS [SQS, SNS, S3, CDK, Lambda], RESTful APIs, PCF, and Kafka) in addition to Tealium Tag Management System, Adobe Analytics variable mapping, Heap Analytics and Galileo.js (autocapture)/Galileo API. Experience: In-depth knowledge of diverse and emerging technologies and new architectural concepts and principles. Knowledgeable in digital and data engineering languages and tools. In-depth understanding of layered solutions and designs; in-depth understanding of shared data engineering concepts and product features, as well as security minded. Highly developed negotiation, consensus building & influencing skills, facilitation and the adaptability to respond to change quickly. Ability to effectively collaborate with all levels of the organization. Enterprise Business Knowledge: In-depth understanding and helps articulate business operations, key business decisions, and technology implications within a single business process. Identifies business process improvements that address highly complex technology gaps within a single business process. Consult on highly complex technology enabled recommendations to address gaps within a single business process. Scoping and Planning: Documents existing processes, organizational structures, architectures and external systems. Selects the appropriate tools to prepare deliverables; participates in the development of tools and methodologies and adapts them to the organization environment. Tools and Programs: Consults on designing and developing complex programs and tools to support ingestion, curation and provisioning of complex enterprise data to achieve analytics, reporting, and data science. Involved in and contributes to development and enhancement of solutions for gaps. Design and Build: Designs, data models and builds complex data provisioning workflows/pipelines, physical data schemas, extracts, data transformations, and data integrations. Designs and builds complex data architecture and applications that enable reporting, analytics, data science, and data management and improves accessibility, efficiency, governance, processing, and quality of data. Deploy/Implementation: Supports the Solutions Engineer in implementation. Support can include but is not limited to; cutover plans, post-implementation support, any issues/defects, transition planning, and knowledge sharing efforts. Bachelor's or master's degree in computer science, technical or business discipline, or equivalent experience. Minimum 8+ years of experience delivering solutions in large, distributed technical ecosystems using agile practices such as Scrum, Kanban, or XP. Experience working with micro services and cloud platforms (AWS) Proficient with Java, Spring Boot, REST, Kafka, Kubernetes, microservices, testing concepts & frameworks, DevOps tools, and CI/CD pipelines such as Bamboo/GitHub Actions/Jenkins. Bachelor's or master's degree in computer science, technical or business discipline, or equivalent experience. Minimum 8+ years of experience delivering solutions in large, distributed technical ecosystems using agile practices such as Scrum, Kanban, or XP. Experience working with micro services and cloud platforms (AWS) Proficient with Java, Spring Boot, REST, Kafka, Kubernetes, microservices, testing concepts & frameworks, DevOps tools, and CI/CD pipelines such as Bamboo/GitHub Actions/Jenkins. Responsible for the analysis, development and execution of complex software and data solutions, to manage the information lifecycle needs of the organization. Develops, models, constructs, tests and maintains applications and data architectures for data collection, 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. Analyze and develop complex data solutions and act as a technical expert for complex data initiatives across the portfolio Builds and designs complex data models and data architecture that improve accessibility, efficiency, governance, and quality of data. Collaborate with TTT on LTAs on existing & new design patterns, as needed Actively participate in portfolio agile ceremonies (PI Planning, Sprint Planning, Backlog grooming, Sprint Reviews) and guide the product teams Proactively identify opportunities to enhance data pipelines, processes and make recommendations to improve management of data & reduce costs and drive those forward Lead and direct team members, mentor data engineers across the portfolio & upskill talent. Ensure the portfolio teams consistently follow established best practices and standards, identify gaps in our processes & document to streamline and enable product teams to develop efficiently Collaborate & support the Solutions Engineer in design, backlog refinement, capabilities, developing Technology roadmaps, implementation, cutover plans, post-implementation support, any issues/defects, transition planning, and knowledge sharing efforts Actively participate by contributing topics of interest & actioning items coming out of the various forums (BDSE Dev User, DV, Testing Guild, Tech Roundtables, Leadership) and improve engineering user experience", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618518198954", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618518980298, "name": "Director I, Product Research", "posting_name": "Director I, Product Research", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Product Management", "business_unit": "3008-USRM-SC Product-US", "t_update": 1787251020, "t_create": 1785955440, "ats_job_id": "77091", "display_job_id": "2026-77091", "type": "ATS", "id_locale": "2026-77091-en", "job_description": "Own and maintain the SC Product AI investment roadmap end-to-end, sequenced for maximum business value and aligned to SC's broader strategic priorities; develop repeatable frameworks for business cases, success metrics, and KPIs Manage SC Product's AI portfolio as a single, function-wide book of work \u2014 maintaining visibility into active initiatives, dependencies, risks, and progress; develop and operate an intake and prioritization process for new ideas Drive execution across SC Product's highest-priority AI use cases spanning product delivery, underwriting automation, in-market monitoring, and everyday AI adoption Serve as SC Product's primary voice on AI with Solaria, US Data Science, Technology, and USRM AI Enablement teams \u2014 shaping strategy jointly and ensuring SC's priorities have appropriate visibility Partner closely with Small Commercial product teams and their respective AI Liaisons to align priorities, share learnings, and drive consistent execution of AI initiatives across the function Coordinate with RAIC and appropriate partners on risk, privacy, security, and compliance for individual initiatives; escalate conflicts and concerns to leadership as needed Engage actively in Underwriting's AI Council, offering SC Product's point of view on initiative prioritization and helping guide the group's direction Champion everyday AI adoption across SC Product \u2014 fostering curiosity and experimentation while helping SC Product teams onboard smoothly to new AI tools and capabilities Monitor AI trends, tools, and capabilities, proactively assessing relevance and applicability to SC's context Strong foundation in program or project management, with a track record of driving complex, cross-functional initiatives from idea through execution in matrixed organizations Demonstrated curiosity about and hands-on experience with AI tools, with the ability to quickly assess practical applicability to real business problems Ability to bridge the gap between technology and business \u2014 translating complex processes into clear AI use cases and working fluently with both technical and non-technical stakeholders Strong agency and self-direction: able to build structure in ambiguous environments and drive momentum without formal authority Excellent communication, influencing, and partnership skills \u2014 building trust and alignment across teams with varying expertise Foundational knowledge of Small Commercial insurance \u2014 including product development and delivery, pricing programs, underwriting, or state management processes Experience working with Data Science or Technology teams in a business-facing capacity Familiarity with AI governance and responsible AI frameworks Experience standing up new functions, processes, or operating models in fast-moving environments Master's degree or equivalent in mathematics, economics, statistics, or other quantitative field. Masters, PhD, or equivalent helpful given quantitative work they are leading. Minimum of 7, typically 10 years or more relevant work experience. Expert skills in Excel, PowerPoint, and statistical software packages (e.g., SAS, Emblem). Must have exceptional planning, analytical, decision-making, communication, and project management skills. Expert knowledge of data sources, tools, and the business (lines, systems, pricing plans), predictive modeling, and code (e.g., SQL). Significant understanding of competitors' pricing strategies and relationship to our own. Industry knowledge developed from internal meetings, news alerts, project-specific work, and proactive research into competitor strategies.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618518980298", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618519042512, "name": "Actuary, Personal Lines Auto State Internal Indications", "posting_name": "Actuary, Personal Lines Auto State Internal Indications", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States"], "hot": 0, "department": "Actuarial", "business_unit": "3001-USRM-Risk Analytics-US", "t_update": 1787685900, "t_create": 1786376040, "ats_job_id": "77123", "display_job_id": "2026-77123", "type": "ATS", "id_locale": "2026-77123-en", "job_description": "Description The US Retail Markets (USRM) Personal Lines (PL) Auto State indications team is looking for a Senior Actuarial Analyst / Actuary to join our team. In this highly impactful role, you will play a pivotal role in producing quarterly rate indications to support rate decisions. This is a unique opportunity to help drive enhancements and sophistication to our processes and methodology. This position will work in a collaborative environment with partners and stakeholders in Risk Analytics and State Management. This is a ranged posting for a Senior Actuarial Analyst or an Actuary. Level offered is based on candidate experience at manager discretion. This role may have in-office requirements depending on candidate location. As an Actuary, you will: Lead work on state indications that serve as a foundation for rate guidance, ensuring that our rate actions and underwriting levers improve each state's profit position. Play a pivotal role in shaping state indication strategy, leveraging a robust suite of actuarial methods. Help identify and propose enhancements to our existing processes and methodologies to drive for operational excellence. Be an influential partner with other Risk Analytics subject matter experts to ensure a comprehensive understanding of unique state features, and collaborate with Directors of State Operations to develop customized state levers. Share your insights and recommendations which will greatly influence state-level decision-making and contribute to our goal of achieving top-quartile profitability. Build trust, credibility, and strong relationships will enable you to influence decisions and execution beyond the Auto Analytics team. Be a senior member of the team and also contribute to fostering an inclusive, equitable, and high-performing culture. Coach and mentor junior team members, sharing your expertise and supporting their development. In this role, you can expect to: Deliver state level indications to internal stakeholders to drive actions and influence decisions to achieve top quartile profitability. Build indications tools and processes to increase our organizational understanding of our methodology and inform state level profitability position. Proactively identify opportunities, drive analysis, and make recommendations for appropriate strategies to develop, evaluate and enhance state level profitability. Act as a trusted partner to State Management to help inform and influence state-specific strategy and tactics, including pricing and underwriting levers. Collaborate with Country Wide (CW) Indications, CW State Analytics, Actuarial, Finance, Claims and Data Science to gain better understanding and assess and improve profitability with a state focus. Support cross-team initiatives to enrich the deliverables with state-specific insights. Building trust and credibility with teams beyond State Analytics to drive decisions and execution. Support an inclusive, equitable and high performing culture. Coach and mentor junior team members. Ideal candidate will have: Strong technical proficiency in Excel (e.g., pivot tables, advanced formulas, data modeling) and SQL, with demonstrated experience querying and manipulating large datasets. Ability to design and build scalable, repeatable processes for data extraction, transformation, and reporting. Excellent communication skills, both written and verbal, with the ability to translate technical or analytical findings into clear, actionable insights for non-technical audiences. Strong stakeholder management skills, including the ability to gather and interpret stakeholder requirements, ask clarifying questions, and respond to follow-up questions with confidence and clarity. Comfort working cross-functionally and managing multiple stakeholder relationships simultaneously. Detail-oriented mindset with strong organizational and prioritization skills. Qualifications This is a ranged posting. Qualifications are as follows for each level of consideration: Senior Actuarial Analyst Proven math and analytical skills, as normally acquired through the pursuit of a Bachelor's degree in Mathematics, Statistics, Economics, Actuarial Science, or related field. Commitment to achieving Associateship or Fellowship in the Casualty Actuarial Society. Passing grades on a minimum of 5 Casualty Actuarial Exams is required. Minimum 3-5 years relevant experience required. Prior experience and solid knowledge of actuarial techniques and standards, as well as other business operations including financial, underwriting, legal, statistics, claims, sales, etc. Solid oral and written and presentation communication skills and ability to interact effectively within and outside the organization. Solid interpersonal skills and the ability to work in a team environment as well as independently. Ability to motivate and mentor peers and motivate and train subordinates. Ability to exercise discretion, and apply independent judgment and well-developed critical thinking skills in execution of assignments and projects. Ability to balance multiple projects with minimal direction. Advanced computing skills (MS Office Excel, SAS, etc.); Ability to build models of moderate complexity. Actuary 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. Advanced computing skills (MS Office Excel, SAS, etc.) with ability to build complex models. 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. 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li{border-color:#1a1346;} .header_color a,.header_color strong,.header_color strong a{color:#1a1346;} .header_color a:hover{color:#1a1346;} .header_color .avia-menu-fx,.header_color .avia-menu-fx .avia-arrow{background-color:#1a1346;color:#ffffff;border-color:#080124;} .header_color .avia-bullet{border-color:#1a1346;} .html_header_top .header_color .main_menu ul:first-child >li > ul{border-top-color:#1a1346;} .header_color .main_menu ul ul,.header_color .main_menu .menu ul li a{background-color:#fecf00;color:#1a1346;} .header_color .main_menu .menu ul li a:hover{background-color:#fecf00;} .header_color .main_menu ul:first-child > li > a{color:#1a1346;} #top .header_color .main_menu .menu ul li>a:hover{color:#1a1346;} .header_color .main_menu ul:first-child > li a:hover,.header_color .main_menu ul:first-child > li.current-menu-item > a,.header_color .main_menu ul:first-child > li.current_page_item > a{color:#1a1346;} 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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;}