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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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. 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Drive program rollouts: Lead end-to-end deployment of pricing programs -- including model adjustments for regulatory requirements, documentation, and DOI objection responses. Collaborate across functions: Partner with Delivery, Specialty Product, Program Management, IT, and other teams to ensure fast, effective launches. Analyze & iterate: Monitor Post Launch results and work hand-in-hand with business teams to refine go-forward market strategy. Innovate continuously: Identify new profitable growth opportunities by researching emerging modeling techniques and testing novel variables and new data sources. Lead with influence: Communicate tradeoffs clearly, guide leadership toward best courses of action, and deliver on commitments. 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516730794", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618516122357, "name": "Analyst, Data Science, Earnix Design", "posting_name": "Analyst, Data Science, Earnix Design", "location": "Seattle, Washington, United States", "locations": ["Seattle, Washington, United States", "Remote, Remote, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1776081240, "t_create": 1773409860, "ats_job_id": "74991", "display_job_id": "2026-74991", "type": "ATS", "id_locale": "2026-74991-en", "job_description": "Design best-in-class capabilities to support post-modeling activities, including calibration, dislocation, and filing. Build USDS pricing programs in Earnix. Design and implement other use cases of Earnix as a rating engine. Ensure accuracy of all pricing and non-pricing outputs from Earnix. Design and maintain rigorous data models for Earnix analytical projects and API. As required, troubleshoot and support post launch queries and issues. Improve and automate processes where applicable. Engage with the data science community and participates in cross-functional working groups. Working familiarity with GLMs and GBMs for predictive modeling. Love insurance rating programs and want to get a deeper understanding of how they work. Frequently bring voices together to find patterns in business problems. Are comfortable challenging the status quo to make systems simpler, more robust, and scalable. Enjoy documenting and sharing best practices to accelerate the whole team. Get excited by delivering business critical, production-ready products. Experience creating rating logic and implementing rating programs in tools like Earnix, Radar Live, etc. Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Foundational/intermediate 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 a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and no professional experience, a Master`s degree (scientific field of study) and 2 to 3 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and 4+ years of relevant experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516122357", "isPrivate": false, "latlongs": "47.6061389,-122.3328481"}, {"id": 618516800971, "name": "Actuary, Data Science, Reserving", "posting_name": "Actuary, Data Science, Reserving", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "New York, New York, United States"], "hot": 0, "department": "Actuarial", "business_unit": "3001-USRM-Risk Analytics-US", "t_update": 1777494420, "t_create": 1776375960, "ats_job_id": "75639", "display_job_id": "2026-75639", "type": "ATS", "id_locale": "2026-75639-en", "job_description": null, "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516800971", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618514988681, "name": "Enterprise Data Governance Leader", "posting_name": "Enterprise Data Governance Leader", "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": "Data Science", "business_unit": "3042-Enterprise Transformation & Solutions-US", "t_update": 1777561020, "t_create": 1769007540, "ats_job_id": "74231", "display_job_id": "2026-74231", "type": "ATS", "id_locale": "2026-74231-en", "job_description": "Shape the vision: Bring a strong point of view on what effective data governance looks like, grounded in industry perspective, internal context, and practical tradeoffs. Champion the evolution and adoption of our Enterprise Data Governance Playbook, ensuring alignment with compliance, risk, and business objectives. Design our well-lit path: Define the future state where metadata and data quality are increasingly automated and AI-driven to enable trusted decisions from high-quality data products. Provide thought leadership on the path design and lead AI experimentation to prove what works. Drive execution: Run governance like a program, with defined workstreams, clear ownership, and success measures. Influence and align: Provide structure and clarity in moments of ambiguity, and help end circular debates by driving decisions to closure. Facilitate Data Governance leadership discussions, build alignment on key data policies, standards, and decision-making frameworks, and clear roadblocks by bringing facts, decisions, and recommendations to the right senior leaders. Connect the dots: Actively identify where business units are solving similar problems and facilitate targeted peer connections not more meetings, but real collaboration. Help us scale these connections by partnering with our training experts to elevate and drive adoption of our standards, platforms, and best practices. Communicate value: Ensure governance efforts are well understood, appropriately scoped, and connected to business impact. Explain the why behind governance requests, set expectations, and build enterprise-wide support by telling a compelling story. Director II, Data Management (STP) $163,500 - $201,500. Annual FTO days (Flexible Time Off): 20 Strong written and oral communication skills required 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 Familiarity with Agile practices and leading delivery in an Agile environment. Familiarity with process management and operating model design a plus. Director I, Data Management (STP): 7-10+ years' experience leading data governance, stewardship, metadata, and data quality programs across complex domains. Director II: Data Management (STP) 10+ years' experience leading data governance, stewardship, metadata, and data quality programs across complex domains. 7+ years as a managing data steward, domain data lead, or equivalent governance leadership role preferred. 1-3 years' experience with enterprise data catalog and metadata management platforms a plus.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618514988681", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618514571625, "name": "Data Product Owner - Liberty Mutual Investments", "posting_name": "Data Product Owner - Liberty Mutual Investments", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1776185940, "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 integrating 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. Partner closely with Data Engineering chapter to design and deliver scalable, well-governed, and high-quality data solutions Act as the voice of the customer (investment teams, operations, risk, and compliance) to ensure data is curated and accessible to meet end-user needs. 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. Bachelor's degree in computer science, Engineering, Finance, or Business Administration (advanced degree preferred). 8+ years of experience working as a Product Owner, Data Product Manager or Data Strategist role within financial services, preferably investment management Working knowledge of investment data domains, such as security reference data, company reference data, benchmarks, positions, and transactions Strong understanding of data management concepts - master data management, metadata, lineage, and data quality frameworks Exposure to order management systems, accounting book of record, or market data vendor platforms Experience working in Agile/Scrum environments with a strong ability to lead, prioritize, and manage multiple workstreams. 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You thrive in ambiguous environments, move work forward with conviction, and consistently elevate outcomes through structure, communication, and sound judgment. You are able to see across the system -- connecting ideas, stakeholders, and decisions into a cohesive path to delivery. Moreover, you're able to influence without authority, anticipate challenges before they surface, and create the alignment needed for AI initiatives to succeed at scale. 8+ years of experience managing complex cross functional programs in technology, product management, and data/AI organizations. Experience implementing governance for generative AI or model risk management. Background working directly with Data Science, MLOps, and cloud platforms (AWS/Azure/GCP) required. Demonstrated knowledge of product/program ownership that spans discovery, pilots and scaled delivery, comfortable balancing technical and business tradeoffs. Strong familiarity and application of AI/ML concepts and data science delivery lifecycles; ability to translate technical constraints to business stakeholders. Proven executive presence: experience briefing senior leadership and influencing outcomes with clear, concise presentations. Hands on experience with delivery tools and practices: Jira, Agile/Scrum, OKRs/KPIs, roadmap tooling, status reporting. Familiarity with tools like Microsoft 365 ecosystem (Copilot/Stream), Databricks, or model monitoring solutions Strong stakeholder management skills and ability to navigate matrixed organizations and vendor relationships. Excellent written and verbal communication skills; polished facilitation and workshop skills. Own the end-to-end program roadmap for AI investments across claims and servicing, delivering measurable improvements Move high-impact pilots from discovery to production by coordinating product, data science, engineering and vendor workstreams. Create and standardize lightweight practices (backlog, OKRs, success metrics) so teams can iterate fast and scale what works. Build executive-ready updates and lead decision forums to secure resources and remove blockers. Further operationalize AI governance and compliance guardrails to ensure solutions meet privacy, security and regulatory requirements. 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With the squad, accountable for developing and achieving product level KPIs Manages product(s) with a moderate degree of strategy, scope, and complexity Owns and maintains the product backlog and is accountable for its contents and prioritization Accountable for clear, actionable user stories Participates in squad/team demos, retrospectives, and all other ceremonies Balance tactical and strategic decisions for the product, collaborating with peer product owners, managers, portfolio product owners, and other technical leaders, as necessary Works with Business Agility & Tech to create PI plans that align to the short- and long-term product strategy, raising concerns & dependencies Authors features that support high level missions and readies for team consumption Understands customer needs through exposure to research / discovery (quantitative & qualitative) and testing & uses this to optimize experiences Attend (and occasionally lead) sessions with users, customers, SMEs, to gain thorough understanding the product, immediate opportunities, and long-term direction Partner with User Experience to ensure the products delivered strike the right balance between intuitive, simple, cohesive, and complete Monitors and maintains the product health, proactively monitors impact of their product on others in the ecosystem Analyzes and reports on feasibility, cost of delay ramifications, economies, or other aspects of planned or potential changes to the product Drives alignment with stakeholders to understand the impact that their products' regulatory, compliance, and other industry constraints will have on other products in the portfolio Negotiates with internal and external squads/teams to set aligned priorities among squads/teams both within and outside the portfolio Champion AI-driven pilots and production initiatives: partner closely with Data Science and Tech to define AI use cases (e.g., risk scoring, triage, anomaly detection), prioritize experiments, and translate model outputs into actionable underwriting workflows Ensure safe, responsible deployment of AI: collaborate on model validation, monitoring, explainability, and human-in-the-loop design to maintain underwriting oversight and regulatory compliance Drive adoption for AI-enhanced underwriting capabilities by helping design UX flows, and feedback loops so underwriters can trust and use model-informed recommendations Shape and communicate the product vision, ensuring alignment with strategic priorities across teams and executive leadership Translate recommendations into strategic actions that support GRS priorities with minimal coaching Articulate and quantify product value and measurable outcomes from digital investments Collaborate with the agile working group to clarify business needs, remove roadblocks, and align on product strategy Champion experimentation and AI adoption: run hypothesis-driven pilots with Data Science, define success metrics/ROI, and maintain an innovation sandbox with appropriate guardrails Help establish an innovation sandbox and guardrails for rapid prototyping, ensuring ideas are matured into production-ready capabilities with appropriate controls Prior Underwriting (or other operations) experience and knowledge related to middle market and large commercial insurance, reinsurance and/ or Surety is highly desired Understanding of underwriting risk drivers and how data, machine learning, and AI can augment risk assessment, pricing, and exposure management Familiarity with model governance, regulatory considerations for automated decisioning, and the need for explainability of AI-enabled outputs Knowledge of Agile development methodologies and IT project management as typically acquired through a Bachelors` degree in relevant field (business, computer science, humanities etc.) and a minimum of 3 to 5 years direct experience with agile teams as well as 7 years in business, technology, or consulting. Able to depict and explain the importance of complex ideas, issues and designs to varied audiences; educate SBU/department(s) on business vision and plan and the impact of change. Able to influence a diverse group of stakeholders; strong leadership skills. Able to make difficult and quick decisions daily. Strong problem solver with demonstrated ability to lead a team to push the solutions and progress. Experience in the insurance industry preferred. Knowledge of relevant products and portfolio preferred. 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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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Taking place Thursday, August 6 - Friday, August 7, 2026, Spark Summit offers hands-on skill building, exposure to real-world engineering practices, and meaningful connections with Liberty Mutual technologists, leaders, recruiters and peers. Participants will sharpen technical interview skills, practice practical engineering techniques, learn about diverse career pathways in tech at Liberty Mutual, and gain early access to interviews for the 2027 TechStart Summer Internship Program. What to expect Hands-on skill building: Interactive sessions and exercises designed to strengthen technical, analytical and problem-solving abilities you can use immediately. Technical interview preparation: Practice and feedback to help you prepare for technical interviews and internships. Career insight and mentorship: Hear from senior leaders and engineers about career paths in software engineering and related fields, and connect with mentors and recruiters. Networking and community: Meet peers, current interns and Liberty Mutual employees to build relationships that can help shape your tech career. Internship interview access: Learn about the TechStart Summer Internship Program and receive early access to interviews for the 2027 intern class. Qualifications We encourage current full-time undergraduate freshmen and sophomores to apply if you: Are pursuing or exploring a degree in Computer Science, Computer Engineering, Informatics, Software Engineering, Artificial Intelligence, or a related technology field. Demonstrate strong technical aptitude, analytical thinking, communication skills, and a desire to learn and collaborate. Are fully authorized to work in the U.S. without restrictions now and in the future. 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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.html_header_searchicon_disabled #top .av_header_border_disabled.av_bottom_nav_disabled .main_menu .menu>li:last-child>a .avia-menu-fx{padding-right:13px;-moz-box-sizing:content-box;-webkit-box-sizing:content-box;box-sizing:content-box;} div .logo{float:left;position:absolute;left:0;z-index:1;} .logo,.logo a{overflow:hidden;position:relative;display:block;height:100%;} .logo img{padding:0;display:block;width:auto;height:auto;max-height:100%;image-rendering:auto;position:relative;z-index:2;height:100%;height:auto;-webkit-transition:opacity 0.4s ease-in-out;transition:opacity 0.4s ease-in-out;} .main_menu{clear:none;position:absolute;z-index:100;line-height:30px;height:100%;margin:0;right:0;} .av-main-nav-wrap{float:left;position:relative;z-index:3;} .av-main-nav-wrap ul{margin:0;padding:0;} .av-main-nav ul{display:none;margin-left:0;left:0;position:absolute;top:100%;width:208px;z-index:2;padding:0;box-shadow:0 8px 15px rgba(0, 0, 0, 0.1);margin-top:-1px;} .av-main-nav ul li{margin:0;padding:0;width:100%;} .av-main-nav ul li a{border-right-style:solid;border-right-width:1px;border-left-style:solid;border-left-width:1px;} .av-main-nav ul li:last-child > a{border-bottom-style:solid;border-bottom-width:1px;} .av-main-nav li{float:left;position:relative;z-index:20;} .av-main-nav li:hover{z-index:100;} .av-main-nav > li > ul{border-top-width:2px;border-top-style:solid;} .av-main-nav > li{line-height:30px;} .av-main-nav li a{max-width:none;} .av-main-nav > li > a{display:block;text-decoration:none;padding:0 13px;font-weight:normal;font-size:12px;font-weight:600;font-size:13px;-webkit-transition:background-color 0.4s ease-in-out, color 0.4s ease-in-out, border-color 0.8s ease-in-out;transition:background-color 0.4s ease-in-out, color 0.4s ease-in-out, border-color 0.8s ease-in-out;} .av-main-nav > li > a{-webkit-transition:none;transition:none;-webkit-transition:background-color 0.4s ease-in-out, color 0.4s ease-in-out, border-color 0.8s ease-in-out;transition:background-color 0.4s ease-in-out, color 0.4s ease-in-out, border-color 0.8s ease-in-out;} #top .av-main-nav ul a{width:100%;height:auto;float:left;text-align:left;line-height:23px;padding:8px 15px;font-size:12px;min-height:23px;max-width:none;text-decoration:none;font-family:inherit;} #top .av-main-nav ul ul{left:-207px;top:0px;margin:0;border-top-style:solid;border-top-width:1px;padding-top:0px;} .av-main-nav li:hover ul ul{display:none;} #top .av-main-nav li:hover > ul{display:block;} .avia-menu-fx{position:absolute;bottom:-1px;height:2px;z-index:10;width:100%;left:0;opacity:0;visibility:hidden;} .av-main-nav li:hover .avia-menu-fx,.current-menu-item > a > .avia-menu-fx{opacity:1;visibility:visible;} .avia-menu-fx .avia-arrow-wrap{height:10px;width:10px;position:absolute;top:-10px;left:50%;margin-left:-5px;overflow:hidden;display:none;visibility:hidden;} .current-menu-item>a>.avia-menu-fx>.avia-arrow-wrap,.current_page_item>a>.avia-menu-fx>.avia-arrow-wrap{display:block;} .avia-menu-fx .avia-arrow-wrap .avia-arrow{top:10px;} .html_main_nav_header.html_logo_left #top .main_menu .menu>li:last-child>a{padding-right:0;} .main_menu .avia-bullet{display:none;} .avia-bullet{display:block;position:absolute;height:0;width:0;top:51%;margin-top:-3px;left:-3px;border-top:3px solid transparent!important;border-bottom:3px solid transparent!important;border-left:3px solid green;} .avia-arrow{height:10px;width:10px;position:absolute;top:-6px;left:50%;margin-left:-5px;-webkit-transform:rotate(45deg);transform:rotate(45deg);border-width:1px;border-style:solid;visibility:hidden;} .avia-menu-fx,#advanced_menu_toggle{-webkit-transition:all 0.3s ease-out;transition:all 0.3s ease-out;} .main_menu a{-webkit-transition:color 0.15s ease-out;transition:color 0.15s ease-out;-webkit-transition:background 0.15s ease-out;transition:background 0.15s ease-out;} @media only screen and (min-width: 768px) and (max-width: 989px){.responsive .main_menu ul:first-child > li > a{padding:0 10px;} .responsive .logo{float:left;} .responsive .logo img{margin:0;} .responsive .av_mobile_menu_tablet .main_menu .avia-menu{display:none;} } @media only screen and (max-width: 767px){.responsive #header_main .inner-container,.responsive .main_menu{position:static;} .responsive #top .logo{position:static;display:table;height:80px!important;float:none;padding:0;border:none;width:80%;} .responsive .logo a{display:table-cell;vertical-align:middle;} .responsive .logo img{height:auto!important;width:auto;max-width:100%;display:block;max-height:80px;} .responsive #header_main .container{height:auto!important;} .responsive .logo img{margin:0;} } #advanced_menu_toggle{position:absolute;border-radius:2px;height:46px;width:46px;line-height:46px;text-decoration:none;text-align:center;right:0;top:50%;margin-top:-23px;z-index:10000;border-style:solid;border-width:1px;font-size:30px;display:none;} @media only screen and (max-width: 989px){.responsive.html_mobile_menu_tablet .main_menu .avia-menu{display:none;} .responsive.html_mobile_menu_tablet .container #advanced_menu_toggle{display:block;} } @media only screen and (max-width: 767px){.main_menu .avia-menu{display:none;} .container #advanced_menu_toggle{display:none;} } } @media print{a,strong{color:black!important;} a{text-decoration:underline;} .container{width:100%;} .container{width:100%;margin:0 auto;} #header_main{border-bottom:0;} nav{display:none;} } @media all{::selection{background-color:#002663;color:#ffffff;} .header_color div,.header_color nav,.header_color span,.header_color a,.header_color img,.header_color strong,.header_color ul,.header_color 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;} #advanced_menu_toggle{background-color:#fecf00;color:#1a1346;border-color:#1a1346;} .avia_desktop #advanced_menu_toggle:hover{background-color:#1a1346;color:#ffffff;border-color:#1a1346;} .header_color .avia-arrow{background-color:#fecf00;} .header_color .avia-bullet{border-color:#1a1346;} #top .header_color a:hover .avia-bullet{border-color:#1a1346;} .container{width:100%;} .responsive .container{max-width:1260px;} #top #header .av-main-nav > li > a{font-size:14px;} } @media all{.WCAG-2-A{display:none!important;} @media (max-width: 767px){::-webkit-scrollbar{-webkit-appearance:none;} ::-webkit-scrollbar-thumb{background-color:rgba(0, 0, 0, .5);border-radius:10px;} ::-webkit-scrollbar-track{border-radius:10px;background-color:#ffffff;} } } @media all{*:focus{outline:1px dotted #808080!important;outline-offset:-2px!important;} .header_color .main_menu ul:first-child>li>a{color:#1a1446;font-family:'roboto-bold';font-size:16px!important;} .html_main_nav_header.html_logo_left #top .main_menu .menu>li:last-child>a{padding-right:13px;} .header_color .main_menu ul:first-child>li>a:hover{background:rgba(255, 255, 255, 0.8)!important;} .menu-item-has-children:hover{background:rgba(255, 255, 255, 0.8);} .main_menu .avia-menu-fx{display:none;} .main_menu .current_page_item a .avia-menu-text{border-bottom:1px solid #1a1446;padding-bottom:6px;} .main_menu .sub-menu,.main_menu .sub-menu li a{background-color:rgba(255, 255, 255, 0.7)!important;border:0;font-size:14px!important;font-family:'roboto-bold'!important;} .main_menu .sub-menu li a:hover{background-color:#e8e8e8!important;} .main_menu li.dropdown_ul_available>a{padding-right:30px!important;} .main_menu li.dropdown_ul_available>a::after{font-family:FontAwesome;position:absolute;left:auto;margin:0 5px;font-size:12px;} .main_menu li.dropdown_ul_available>a:hover::after{} #header_main{border:none;background-color:#ffd000;} .logo img{width:250px!important;margin-top:10px;} @media screen and (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 a:focus{outline-offset:-5px!important;} @media screen and (min-width:768px) and (max-width:1024px){.header_color .main_menu ul:first-child>li>a{font-size:12px!important;} } #top .main_menu .av-main-nav ul ul{border:0!important;padding-top:0px;position:static;display:block!important;border-bottom:1px solid #000!important;overflow:hidden;background-color:transparent!important;} #top .main_menu .av-main-nav ul ul li a{padding-left:35px;font-size:12px!important;padding-top:5px;padding-bottom:5px;background-color:rgba(255, 255, 255, 0.7)!important;} #top .main_menu .av-main-nav ul ul li a:hover{background-color:rgba(232, 232, 232, 0.7)!important;} .av-main-nav ul li:last-child>a{border:none!important;} #top .main_menu .av-main-nav ul ul{border-bottom:0px solid #000!important;} } .navbar{display: none!important;} .logo{padding-right:60px!important;} #menu-item-973: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-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;}