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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Bachelor's degree in human resources, Finance, Business or related field; advanced degree preferred or equivalent professional training. Minimum of 10 years of experience in ERISA retirement plan management and in-depth knowledge of IRS regulations, with a strong focus on Defined Contribution plans. Ability to analyze retirement plan performance, market trends, and employee engagement metrics to inform strategic decisions. Relevant certifications such as CEBS, QPA, QKA, or CFP highly preferred. Proven experience participating in or supporting Investment Committees. Demonstrated leadership in developing and executing financial well-being strategies. Effective people leadership skills with success in coaching and mentoring teams. Working knowledge of other benefit areas such as health & welfare, leave of absence, and employee well-being. Strong communication, leadership, and vendor management skills. Develop and execute the organization's retirement strategy, ensuring programs are competitive, compliant, and aligned with workforce needs and business goals. Lead and develop a high-performing team responsible for the day-to-day administration and continuous improvement of retirement and financial well-being programs. Serve as a member of the Investment Committee and provide strategic and operational input in the fund lineup design, investment monitoring, and fiduciary oversight. Support the Retirement Committee by preparing materials, contributing to plan governance discussions, and ensuring compliance with fiduciary responsibilities. Ensure compliance with ERISA, IRS, DOL, and other regulatory requirements, including audits, filings, plan testing, and document maintenance. Design and drive employee engagement strategies that enhance understanding, participation, and outcomes in retirement programs and financial well-being initiatives. Manage vendor relationships, including recordkeepers, investment consultants, actuaries, and legal counsel; oversee performance, contracts, and RFPs as needed. Collaborate cross-functionally with HR, Legal, Payroll, and Finance to ensure seamless administration and alignment with total rewards and people strategy. Use data and analytics to assess plan performance, participation trends, and opportunities for improvement. 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Participates in peer development and code reviews within each Agile sprint, with focus on test driven development and Continuous Integration and Continuous Development (CICD). Analyze Snowflake metadata (Information schema) tables to understand the access pattern and create report. Design and build data access provisioning platform with API microservices and react Portal Design and develop programs and tools to support access provisioning, data security, data discovery and threat modeling. Bachelor's degree in technical or business discipline or equivalent experience, technical degree preferred. Generally, 3+ years of professional access management experience. Proficient in data access patterns and tools, and good proficiency in general programming languages and frameworks. Good understanding of agile and processes, such as CICD, pipelines, and iterative development and deployments Demonstratable experience in delivering solutions in Snowflake access management, BigID (Data Discovery). Experience in Java Spring boot (Microservice), JavaScript, React (UX) and SQL Must be proactive and self-driven, demonstrate initiative and be a logical thinker. Strong communication, collaboration skills with a track record of taking ownership of the Task. 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Strong analytical skills with solid understanding of casualty insurance techniques, standards, and assumptions. Expert skills in statistical software packages (e.g., Emblem, Python packages) highly desired. Strong knowledge of insurance principles, underwriting and ratemaking concepts High-level knowledge of data sources, tools, and the business (lines, systems, pricing plans), predictive modeling (GLMs, GBMs, Elastic Nets), and code (e.g. Python, R, SQL) preferred. Deep knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset, to include highly technical tools. Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent. Demonstrated ability to exchange ideas and convey complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which s/he interacts. Ability to establish and build relationships within and outside the aligned functional area or SBU. Ability to give effective training and presentations to management and other groups. Presents to senior or functional department leaders or executives. Broad knowledge of business drivers and market context. Has a value driven perspective with regard to understanding of work context and impact. 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Risk Selection and Deal Execution: Reviews, underwrites, and assesses mobility-as-a-service platform clients and prospective opportunities (ridesharing, gig delivery, autonomous vehicles,vehicle sharing, etc.) in accordance with guidelines and authority parameters. Collaborates with cross functional peers and expert resources, as appropriate, to make informed analytical and data-driven decisions, price and structure proposals, tailor and articulate coverage positions, enable comprehensive account reviews, and negotiate solutions, while maintaining strong documentation and communication. Broker and Client Relationships: Demonstrates a high level of responsiveness and focus on supporting broker and client objectives. Establishes, develops, and maintains successful relationships to facilitate successful outcomes through clear and collaborative partner communications. Develops strong personal brand while articulating our strong value proposition to build and maintain a long-term quality pipeline. Portfolio Management: Manages and develops a portfolio of mobility risks, identifying areas of opportunity for improved growth, profit, and diversification through continuous monitoring and an active pulse on the developing marketplace. Works with team to prioritize strategic growth opportunities that will increase market share. Stays abreast of developing guidelines, state regulations, legislation, key legal cases, and claims trends to inform decision making. Leadership & Innovation: Creates innovative insurance solutions and helps develop underwriting protocols, products, and coverages to address emerging risks; monitors and analyzes market trends and competitive landscape. Provides input to the development of marketing plans, product analysis, competitive intelligence, and portfolio optimization across sectors, geographies, coverages, and program structures. Shares knowledge based on technical expertise, including providing external thought leadership. Mentors, coaches, and trains other underwriters and internal partners. Continuous Improvement: Actively participates in continuous improvement by fully engaging in daily huddles, generating suggestions, and participating in problem solving activities. Participates in projects across departments designed to drive underwriting and process excellence. Teamwork: Collaborates with cross-functional team members and other departments including product, claims, actuarial, client, service, risk control, legal, underwriting support, and other line underwriting teams. Rating Plan experience across primary casualty lines (e.g. large deductibles, retrospective rating, excess over self-insurance; experience with Captives preferred) Experience with drafting manuscripts and custom policy language preferred Degree in Business or equivalent typically required A minimum of 7 years expected, typically 10 years or more, of progressive underwriting experience and/or other related business experience CPCU or professional insurance designation preferred Proven analytical ability to evaluate and judge underwriting risks within scope of responsibility Demonstrated ability to communicate complex analyses and information in understandable written and/or oral directives to other persons in the organization for underwriting or training purposes Demonstrated effective communication and interpersonal skills in dealing with internal and external stakeholders Must demonstrate comprehension of most complex technical underwriting issues and be capable of defining and implementing necessary underwriting and administrative processes/workflows to properly manage or administer those issues Proven track record of developing and underwriting profitable business", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503318440", "isPrivate": false, "latlongs": "40.1023319,-75.2743467"}, {"id": 618502587427, "name": "Senior Data Solutions Analyst, USRM Modeling Data Solutions", "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"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1746821220, "t_create": 1739820060, "ats_job_id": "68773", "display_job_id": "2025-68773", "type": "ATS", "id_locale": "2025-68773-en", "job_description": "Design, develop, and optimize data pipelines and ETL processes to ensure high-quality data is available for analysis. Analyze complex datasets to identify trends, patterns, and actionable insights that drive business performance. Implement data quality checks and governance best practices to ensure data accuracy and reliability. Utilize Python, Spark, and SQL queries to extract, transform, and analyze data from various sources. Work closely with cross-functional teams to understand their analytical needs and provide tailored solutions that meet business objectives. Stay current with industry trends, emerging tools, and best practices in data analytics and engineering to continuously enhance analytical capabilities. 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502587427", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618502699046, "name": "Consultant, Product Research", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Plano, Texas, United States", "Portsmouth, New Hampshire, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Product Management", "business_unit": "3043-USRM-PL Auto Product-US", "t_update": 1746809580, "t_create": 1740666900, "ats_job_id": "68976", "display_job_id": "2025-68976", "type": "ATS", "id_locale": "2025-68976-en", "job_description": "Fully own and execute on assigned states' end-to-end rollout of the latest personal auto insurance pricing programs. Gather and document product requirements, clearly communicate requirements to stakeholders, and ensure accurate implementation. Act as the subject matter expert for the pricing program and assigned states, provide thoughtful recommendations that influence state decisions and help drive corporate strategy. Lead cross-functional workstreams and manage moderate to high complexity projects. Conduct complex analyses to drive and support business decisions; where necessary, conduct in depth research of competitor offerings and filings. Educate IT partners on business vision and plan, and both IT and business partners on the impact of changes. Independently manage project timelines, flag risks and develop contingency plans, escalate blockers as appropriate. Regularly update leadership and stakeholders on project progress, addressing concerns and managing communication channels. Lead job shadow discussions with less experienced analysts. Provides technical training and user support to business groups. Bachelor's degree in mathematics, economics, statistics, or other quantitative field Minimum 4 year's relevant work experience, typically 6 years. Master's degree beneficial. Advanced proficiency in Excel, PowerPoint, and statistical software packages (e.g., SAS, Emblem). Must have strong planning, organizational, analytical, decision making and communication skills. 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Interacts independently with field underwriters and directly with UW managers on all mandatory referral cases and voluntary consultation items. Ensures continuity and alignment between Primary and Excess Casualty placements. Supports Executive Underwriting Officer on transactions and serves as trusted advisor in the areas of exposure, coverage analysis, and key pricing/financial elements within their authority. Monitors frameworks for underwriting decisions (e.g., referrals, technical reviews) and recommends improvements, as needed. Evaluates portfolio performance regularly in Middle Market Construction, working with Underwriting Leaders to identify drivers of performance, risks, and opportunities. Drives UW technical excellence across Middle Market Construction, working with Underwriting Leaders to identify and resolve issues. Works with Underwriting Leaders to identify product and services enhancements, underwriter capability development opportunities (e.g., skills, tools), and elevates to Executive Underwriting Officer. Models effective collaboration within/across teams, stakeholders and partners (e.g., UW Support, Claims, Actuarial, NA Product Teams). Expert-level knowledge of all aspects of coverage forms, exclusions, and exposure. Pricing, structure, rating, rating plans, loss forecasting, credit risk, market knowledge, preferred. Advanced knowledge of and experience operating within Construction industry; insurance operations; claims, finance and actuarial concepts; regulatory environment; loss control/risk engineering; reinsurance; account management; product development; and industry trends. Must be a skilled collaborator who is willing to assess all sides of an issue, bring in others with expertise, and independently execute and advance the collaboration model. Other professional skills required include superior communication skills (written, verbal, presentation, listening); approachability; tact; coaching/development; analyzing and problem solving; relationship and service driven; clear solutions orientation and commitment to achieving segment operational and financial objectives; negotiation skills; and demonstrated ability to consistently and positively influence others both internally and externally (brokers/customers) as required. 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Conduct complex data analysis to identify trends, patterns, and insights, identifying issues and changes with the data and communicating solutions to stakeholders. Gather requirements through collaboration with data scientists, analysts, and business stakeholders to provide tailored analytics solutions. Implement and enforce data quality and governance standards to ensure data accuracy, reliability, and security. Design and implement robust data models that facilitate data accessibility and efficient querying for analysis and reporting. Utilize Python, Spark, and SQL queries to build robust data solutions and for profiling data. Stay informed of industry trends, tools, and best practices in data analytics and engineering, and apply this knowledge to enhance the team's capabilities. Mentor and provide guidance to junior data analytics engineers and analysts, fostering a culture of learning and collaboration. Strong written and oral communication skills required. 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(max-width:989px){#advanced_menu_toggle[data-av_icon]:before{font-size:30px;font-weight:normal;font-family:'FontAwesome'!important;} #advanced_menu_toggle{border-width:0px;} .container{padding:0 30px;} .responsive .logo{padding-top:10px;} } .main_menu .current_page_item a .avia-menu-text{border-bottom:0!important;} @media screen and (max-width:767px){.rem-arrow a:before{content:' '!important;} .responsive #top #wrap_all .container{width:92%;max-width:92%;} #advanced_menu_toggle{left:0;right:auto;border-width:0px;} .responsive #top .logo{margin:0 auto;width:150px;} .responsive .logo img{max-height:40px;margin:0 auto!important;} #header_main{border-top:0;} } @media screen and (min-width:1024px){li#menu-item-13649 ul.sub-menu{left:207px!important;} li#menu-item-13649.dropdown_ul_available>a::after{font-family:FontAwesome;position:absolute;left:auto;margin:0 5px;font-size:10px;} } #top a:focus{outline-offset:-2px!important;opacity:1!important;} .inner-container 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background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-11981:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-1136:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-1435:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-3937:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-12966:hover{background-color:rgba(255, 255, 255, 0.8) !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;}