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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Participates in prospecting new business and developing service agreements fosters new partnerships and strengthens existing relationships with customers and business unit/market partners. Evaluates use of resources (services hours, expenses, etc.), quality of service, utilization of programs, productivity, net gain in book of business and other key indicators. Identifies opportunities and may design projects that improve results and increase the number and quality of services customers choose to buy. Provides major loss source analyses, products and training. Fulfills risk assessment and service requirements as assigned. Trains field and Home Office employees in service related functions and activities. Designs and implements customer training programs. Makes presentations at customer training and other functions Demonstrated abilities in leadership, planning, relationship building, consulting, customer service, and communications (particularly presentations, persuasion, and writing) Advanced knowledge of loss prevention principles, practices and core service capabilities as they relate to performance and profitability Demonstrated ability to retrieve and enter information using various proprietary software applications and create/modify documents and spreadsheets using Microsoft Office suite Knowledge and skills required are normally acquired through a bachelor's degree with coursework in math, engineering or related areas (or equivalent), a minimum 8 years relevant experience in Risk Control or progressive safety and health field, and an advanced degree and/or professional certification in one or more of the following areas: CSP, ARM, CRM, CPCU, CIH, or CPE Travel may be required", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618500559170", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618500545282, "name": "Assistant Director, Data Science, Solaria Labs", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States"], "hot": 0, "department": "Data Science", "business_unit": "3033-Enterprise Strategy & Innovation-US", "t_update": 1728323400, "t_create": 1727258280, "ats_job_id": "66352", "display_job_id": "2024-66352", "type": "ATS", "id_locale": "2024-66352-en", "job_description": "Collaborate with cross-functional teams across the enterprise to develop innovative predictive and generative AI solutions and solve Liberty's most challenging data science problems. Apply a broad range of sophisticated analytic techniques to manipulate large structured and unstructured datasets, generating insights that inform and drive business decisions. Research, design and develop cutting-edge solutions tailored to business needs. Identify and test hypotheses and build models for various business applications. Translate quantitative analyses and results into accessible visuals and high-level presentations for non-technical audiences to help stakeholders interpret the data. Enable the business to make clear trade-offs among choices, with a reasonable view into likely outcomes. Customize machine learning solutions to meet specific client requirements. Guide aspects of project design as a technical consultant, providing expertise on complex components of larger projects. Regularly engage with the data science community and participate in cross-functional working groups. Mentor junior team members and provide training sessions to peers and management. Ability to work EST Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU. Ability to give effective training and presentations to peers, management and less senior business leaders. Ability to use results of analysis to persuade team or department management to a particular course of action. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience. Breadth of knowledge with feature engineering, traditional machine learning, deep learning, and generative AI. Familiarity with common machine learning frameworks (e.g., scikit-learn, PyTorch, Hugging Face, etc.). Highly skilled in at least one data science discipline (e.g., computer vision, NLP, etc.). Curiosity, ability to learn quickly, and a problem-solving mindset. Demonstrated ability to collaborate with cross-functional teams, interact with business stakeholders to understand business problems, and explain complex concepts clearly and concisely. Knowledge or experience with integrating multiple modalities (e.g., vision, language, audio) for advanced AI solutions. Understanding of DevOps principles and MLOps practices to ensure smooth model deployment, monitoring, and continuous improvement. Experience contributing to open-source data science and machine learning projects.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618500545282", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618500455925, "name": "Assistant Director, Data Products (STP)", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "Indianapolis, Indiana, United States", "Plano, Texas, United States"], "hot": 0, "department": "Product Management", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1727961120, "t_create": 1726763700, "ats_job_id": "66261", "display_job_id": "2024-66261", "type": "ATS", "id_locale": "2024-66261-en", "job_description": "Product Development & Strategy: Lead the development of project backlogs and plans, including milestones and dates. Identify parties and processes impacted by data solutions and recommend and implement new or enhanced data products. Innovate and create new product ideas, create roadmaps for product delivery, and prioritize efforts based on customer value. Articulate and translate the strategic vision into the development of data products and solutions. Manage access for human users and non-human ID permissions. Perform quarterly access audits and maintain elevated access records. Grasp new technologies and understand the use of data in solving business use cases. Break down data issues and prototype data solutions to meet organizational needs. Think through proof-of-concept solutions and assess their viability and scalability. Strong written and oral communication skills required Experience in communicating recommendations to senior business leaders preferred BA/BS, or relevant work experience, in Computer Science or related field preferred MBA or advanced degree in Mathematics, Computer Science, Engineering, Economics, or other quantitative discipline strongly preferred 5-7+ years of experience working in coding and data solutions design principles, particularly in open source tools and technology", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618500455925", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618500413620, "name": "Director, Distribution", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Mount Laurel, New Jersey, United States", "Princeton, New Jersey, United States", "Hoboken, New Jersey, United States", "East Syracuse, New York, United States", "North Syracuse, New York, United States", "Newark, New Jersey, United States", "New York, New York, United States", "Marlton, New Jersey, United States"], "hot": 0, "department": "Sales - General", "business_unit": "3040-USRM-Distribution & Marketing-US", "t_update": 1726510860, "t_create": 1726490760, "ats_job_id": "66187", "display_job_id": "2024-66187", "type": "ATS", "id_locale": "2024-66187-en", "job_description": "Provides leadership, development and coaching to the Territory Management team responsible for managing an assigned portfolio of insurance products, services & agency programs. Works closely with Product Management, UW & Claims to drive flow small and middle market business, build, and execute growth and profit strategies and to secure key accounts, managing account pipeline end-to-end. Responsible for achieving the key financial targets including rate adequacy, written premium, profitability, new business, retention. Manages the execution of annual agency management process and overall territory strategy to drive profitable premium growth. Leads Senior Territory Manager team to optimize agency footprint including agency plant expansion, agency engagement/rehab and terminations. Develops strategies and drives execution of key initiatives to ensure effective agency partnerships in order to attract, develop, and retain profitable business and manage agency performance through frequent agency interactions. Identifies and assesses potential risks including service levels, business quality, pricing and market conditions in order to develop resolutions to ensure agency satisfaction and financial results achievement. Inspires, coaches and develops team to ensure deep engagement and needed skills and capabilities to achieve sub-region goals. Collaborates with regional marketing team to deliver effective internal and external communications and marketing programs. Leverages portfolio-level data and analysis to address business trends at the macro level. Partners and collaborates with systems, raters, and Insights teams to drive and maximize flow of business. Maintains an understanding of the competitive landscape and coordinates resources to make the changes necessary to meet marketing, pricing and customer needs. Maintains local legislative awareness with a strong working knowledge of key and current judicial rulings, legal issues and lobbying efforts. 1 Leverages agency compensation programs, including Agency Profit Sharing process, compensation communication, reporting, tracking and best practices to leverage programs. Undergraduate degree in business or related field or equivalent training required MBA, CIC and/or institute designation preferred Minimum 10 years of progressively more responsible related work experience in a field distribution environment Proven success in building internal and external partnerships, improving team and individual performance Demonstrates strong business acumen and understanding of agency business, solid track record of achieving results, project management, negotiation, and problem-solving skills", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618500413620", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618500155004, "name": "Assistant Director, Data Science Product Management (STP)", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Data Science", "business_unit": "0116-GRS-Actuarial-US", "t_update": 1727797500, "t_create": 1725448980, "ats_job_id": "66033", "display_job_id": "2024-66033", "type": "ATS", "id_locale": "2024-66033-en", "job_description": "Align to the product strategy. Incorporate stakeholder input into product roadmap while effectively negotiating tradeoffs of conflicting priorities based on value to the business and customer Communicate the product strategy effectively to key stakeholders and team members. Represent voice of the customer and engage with stakeholders to identify critical needs and determine optimal solutions Provide valuation, organization, and prioritization for the DS products Perform ad hoc advanced analytics analyses in support of product capabilities Work day-to-day with the scrum team clarifying business requirements, removing roadblocks, constantly communicating, and gaining alignment around product strategy. Explore technical solutions to support deployment of Data Science products capabilities Inform the identification and prioritization of work to reduce technical debt Partner cross-functionally to support the work of Data Scientists while continuing to learn how to apply technical knowledge to business issues. Partner across functions as needed to coordinate delivery plans, testing, training and support Lead problem resolution as needed to ensure that internal and external customers receive prompt, efficient service. Bachelors or masters degree in quantitative field with 5+ years of related experience within insurance, actuarial, data science or technology product management preferred Prior data science work experience preferred Strong understanding of data science concepts and methodologies Knowledge of data science product deployment Understanding of technology platforms, architecture, or tools used to support modeling Understanding of basic actuarial concepts and other product-specific nuances that impact technical design of modeling products Advanced proficiency in Excel and PowerPoint and familiarity with SAS, SQL, R, Python and other big data and emerging technology tools Prior exposure to advanced ML (CV/NLP) products Prior exposure to Generative AI products preferred but not required Proficient understanding of Insurance industry Underwriting practices and concepts ACAS helpful", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618500155004", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618499808605, "name": "Senior Director, Insights & Experimentation Enablement", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Strategy & Planning", "business_unit": "3033-Enterprise Strategy & Innovation-US", "t_update": 1728073860, "t_create": 1723666740, "ats_job_id": "65700", "display_job_id": "2024-65700", "type": "ATS", "id_locale": "2024-65700-en", "job_description": "Directly manage team of ~5 researchers and analysts Partner with teams from across Liberty to develop and align on our Enterprise Innovation Agenda focus areas. Current areas include digital ubiquity, climate change, sustainability, new transportation models, insurance value chain disruption, and risk services. Conduct in-market research with our customers, clients, agents and partners in support of our incubation pipeline and active portfolio Maintain connectivity and alignment across enterprise and BU incubation pipelines and measures of success Lead our Innovation@Liberty suite of programs focused on further shifting Liberty to a culture of experimentation and discovery. Programs include a company-wide innovation challenge, an experiential rotation program, and target workshops in partnership with business and technology. Solaria measures of sucess and executive reporting Bachelor's degree, MBA or advanced degree preferred. Proven ability to integrate strategies and programs across multiple areas. A minimum of 10+ years of proven progressive experience in innovation/innovation-driven organizations and a minimum of three years of proven team management and leadership experience. Strong ability to effectively interact with all levels of the organization. Must possess strong analytical, strategic, project management, decision-making and problem-solving skills. 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Recognize new strategic opportunities for applying theoretical methods and tools. Use a comprehensive understanding of advanced Machine Learning (ML) techniques and programming skills to implement, scale, and advance solutions from Proof-of-Concept (PoC) to Minimum Viable Product (MVP) and beyond. Communicate and justify strategies and initiatives to business partners and other stakeholders using easily understandable visuals for non-technical audiences, offering a clear perspective for interpreting the data. Propel innovation in the creation and enhancement of tools and practices. Manage large components of highly complex projects. Advise on project design as a technical consultant for the team. Frequently engage with the data science community and lead cross-functional working groups. Collaborate with other scientists and engineers of various expertise levels, and influence solutions across the organization. If you enjoy a diverse range of responsibilities, along with significant exposure and impact within a large organization, this role is perfect for you! Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Extensive experience in Python is required Advanced knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Ability to establish and build relationships within and outside the organization. Ability to give effective training and presentations to management and other groups. Ability to use results of analysis to persuade team, department management or senior management to a particular course of action. 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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(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;}