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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The ideal candidate for this role will have: Deep expertise in data governance: experience defining and building data cataloging, data quality, and data lineage solutions A natural bias to collaboration: the ability to work easily across organizational hierarchies to create momentum towards a common goal An analytical mindset: willingness to get into the details of a complex problem statement and identify the best solution across competing requirements An end-to-end understanding of the data lifecycle: the ability to articulate how application design choices impact data quality, consistency, and analytics use cases A highly structured approach to delivering their work: the ability to break down large, long-term objectives into discrete, tactical plans and execute against them over time Robust project management skills: experience working on large-scale, cross-functional programs is required Strong communication skills: comfortable taking a direct approach to identifying, escalating, and resolving challenges to keep a multi-faceted program on pace Prior data/analytics experience and knowledge of using SQL, Snowflake, PowerBI, SAS, Python, data governance suite (data catalogue, data profiling, data quality). Broad experience leveraging AI to assist in data governance tasks is a plus. 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 SQL, scripting languages (Python). Drive deep analytical and solution-design work for complex governance deliverables (e.g. building extensive data dictionaries, specifying validation and quality rules, designing source-level capture of metadata) Partner with end users, data stewards, data engineers, data product owners, and data governance leaders to establish requirements for data catalog, metadata management, data quality and data lineage tooling Translate those requirements into reusable templates, workflows, and acceptance criteria, collaborating with data stewards, solution architects, and engineers to recommend automation approaches, prioritize requirements by business impact, and validate implementation Translate existing enterprise-level data governance standards and policies into executable processes for new policy data and its downstream consumption Support regulatory and compliance requirements during migration (privacy, retention, auditability) Provide day-to-day governance support to project teams during data migration, reconciliations, and cutover activities Drive cultural change by championing the adoption of data governance practices both within and outside the Data team, including through influence of role accountabilities and operating models Establish and monitor key performance indicators that measure the effectiveness and maturity of data governance delivery.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618514007566", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618505974017, "name": "Assistant Director, Data Products", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States"], "hot": 0, "department": "Product Management", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1765301940, "t_create": 1754682360, "ats_job_id": "71672", "display_job_id": "2025-71672", "type": "ATS", "id_locale": "2025-71672-en", "job_description": "Identify areas of opportunity to optimize existing solutions for performance, scalability, and usability; lead tuning and optimization workshops for developers and business users. Establish and enforce development standards and best practices (modeling patterns, DAX optimization, Power Query/M transformations). Partner with data engineering and analytics teams to translate business requirements into robust, maintainable BI solutions. Lead enablement initiatives: create training programs, documentation, and hands\u2011on workshops tailored to both developers and end users. Mentor teams on Power BI development, governance, administration, and deployment pipelines; help shape an Analytics Center of Excellence. Implement governance and security in Power BI Service (workspace design, role\u2011based access, refresh scheduling, gateway management). Track and evangelize new features (Fabric, Copilot, Direct Lake, field parameters, dynamic M) to improve capabilities and adoption. Design, build, and maintain advanced Power BI reports, dashboards, semantic models, and dataflows that deliver actionable insights. 5+ years of professional experience in Power BI development and administration, with a track record of shipping high\u2011quality solutions. Expert\u2011level DAX for complex measures and calculations; strong Power Query/M for robust transformations and ETL. Solid data modeling skills (star and snowflake schemas) and SQL proficiency for relational sources. Hands\u2011on familiarity with Power BI Service (workspaces, dataflows, paginated reports, refresh and gateways). Experience integrating with Azure data services (e.g., Azure SQL Database, Azure Analysis Services, Azure Data Factory) is a plus. Knowledge of Python or R for advanced analytics, scripting, or custom visuals. Experience with BI governance and deployment pipelines (Power BI Deployment Pipelines, ALM). Proven ability to design and deliver training, workshops, and enablement materials. Strong communication and stakeholder management skills; comfortable mentoring and presenting to technical and non\u2011technical audiences. Microsoft certifications (PL\u2011300, PL\u2011900, DP\u2011500). Experience with Microsoft Fabric and Copilot development/features. Version control and CI/CD with Azure DevOps or GitHub Actions. Exposure to advanced analytics, AI integrations, or custom visual development. Familiarity with other BI tools (Tableau, Qlik, ThoughtSpot) for comparative perspective 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/618505974017", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618514005987, "name": "Senior Technical Claims Specialist, Commercial General Liability and Auto Complex", "location": "Oregon City, Oregon, United States", "locations": ["Oregon City, Oregon, United States", "Seattle, Washington, United States", "Colorado Springs, Colorado, United States", "Idaho Falls, Idaho, United States", "Plano, Texas, United States", "Texarkana, Texas, United States", "Buford, Wyoming, United States"], "hot": 0, "department": "Claims", "business_unit": "3026-GRS-North America-US", "t_update": 1764096780, "t_create": 1762188840, "ats_job_id": "73006", "display_job_id": "2025-73006", "type": "ATS", "id_locale": "2025-73006-en", "job_description": "Own and manage the full life cycle of complex CGL claims: determine coverage, investigate facts, evaluate liability, set and adjust reserves, negotiate and execute settlements, authorize payments and, where appropriate, deny coverage. Perform advanced coverage analysis on issues such as duty to defend vs. indemnify, occurrence vs. claims-made triggers, allocation, multiple policies/insurers, additional insureds, contractual liability, erosion of limits, pollution and professional services exclusions, intentional acts, and other complex endorsements. Draft and manage coverage opinions, reservation of rights letters, declination letters and coverage litigation strategy; coordinate coverage counsel where appropriate. Lead defense strategy for high-exposure suits: review pleadings and discovery, develop litigation plans, retain and manage outside defense counsel, oversee billing practices, and evaluate settlement vs. trial risk. Coordinate with reinsurance, underwriting and subrogation teams on coverage, recovery and allocation issues; manage reporting and ceded claims processes. Set and maintain appropriate reserves for complex and catastrophic exposures; explain reserve rationale to senior management and auditors. Mentor, train and advise claims staff and less experienced examiners on coverage interpretation and complex claim strategies; act as an internal resource and SME. Monitor case law, regulatory and legislative developments affecting CGL and casualty coverage; translate trends into actionable practice updates and training. Participate in cross-functional special projects (policy language review, claim handling playbooks, major loss response) and continuous improvement initiatives. 5-7+ years of progressively responsible experience handling Commercial General Liability and/or complex Commercial Auto casualty claims, including substantial experience with high-severity and multi-party litigation. Demonstrated expertise in coverage analysis and interpretation of CGL policies and common endorsements; experience drafting coverage opinions and reservation of rights letters. Strong litigation management experience: selecting and supervising defense counsel, discovery and trial exposure management, mediation/arbitration, and settlement negotiations. Proven ability to analyze, allocate and defend exposure across multiple policies and jurisdictions. Excellent written and verbal communication skills; capable of articulating complex coverage positions to legal counsel, underwriting, senior management and external parties. Strong decision-making and judgment under pressure with a track record of handling confidential, high-stakes matters. Proficient with claims management systems and standard MS Office tools (Excel, Word). Required to obtain/maintain all-lines Adjusters license.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618514005987", "isPrivate": false, "latlongs": "45.3363593,-122.6048473"}, {"id": 618514140076, "name": "Actuary, Homeowners Countrywide Indications", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Chicago, Illinois, United States", "Plano, Texas, United States"], "hot": 0, "department": "Actuarial", "business_unit": "3001-USRM-Risk Analytics-US", "t_update": 1763497500, "t_create": 1762967880, "ats_job_id": "73141", "display_job_id": "2025-73141", "type": "ATS", "id_locale": "2025-73141-en", "job_description": "Description The Homeowners Countrywide (CW) Indications team within US Retail Markets (USRM) Risk Analytics conducts critical analyses and provides recommendations to drive profitable growth in the $9B+ US Personal Lines (PL) Homeowners line of business. The key responsibility for this role will be to produce accurate Homeowners internal indications on a quarterly basis, incorporating internal and industry trends and performing ad hoc analyses to assess profitability concerns. This is a highly visible role with the opportunity to problem solve, develop line of business expertise, and influence the broader organization. It will require close collaboration with analytical teams throughout the organization and the ability to clearly set and communicate our go-forward strategy. This role will be part of a team of 4 analysts and report to the Homeowners CW Indications manager. This role may have in-office requirements dependent upon candidate location. In this role, you can expect to: Perform complex quarterly CW Indication which directly impacts company pricing and UW decisions. Develop deep understanding of profit projections. Individually and in partnership with teams across the organization, critically examine peril-level loss trends, weather/CAT loads, premium trends, expense levels, initiative impacts and customer mix changes. Determine a range of reasonable outcomes given assumption uncertainty and support our pricing selections to Product leadership and stakeholders. Research, propose, and build out improvements to the indications process. Work closely with Forecast, Reserving, and State Indications teams to ensure consistency of methodologies. Communicate indications changes and implications to peer teams and senior leaders within the organization. Mentor, motivate, and train less experienced staff and peers. Qualifications 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. As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers. 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://LMI.co/Benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices California Los Angeles Incorporated Los Angeles Unincorporated Philadelphia San Francisco", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618514140076", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618514178482, "name": "Assistant Director, Forecasting", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States"], "hot": 0, "department": "Analytics", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1765462620, "t_create": 1763151180, "ats_job_id": "73192", "display_job_id": "2025-73192", "type": "ATS", "id_locale": "2025-73192-en", "job_description": "This position may have in-office requirements twice a week depending on candidate location. Forecasting and predictive modeling: comfortable building demand forecasts using methods like time-series, random forest, and Prophet. Python (R ok): able to write scripts to clean data, run analyses, and build models. Python preferred, R acceptable. Call center operations: understands contact-center metrics (volume, handle time, service level), staffing/scheduling, and how forecasts drive workforce planning. Master's Degree in Mathematics, Economics, Statistics or any other quantitative field plus a minimum 5 years of applied business / non-academic experience preferred. For non-Master s Degree candidates, Bachelor's Degree and minimum of 7 years of applied business/non-academic experience, or equivalent. Proven track record of developing and applying modeling to business problems. Deep knowledge of data sources, tools and business drivers. Ability to apply more advanced analytical concepts to improve business outcomes. Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, Emblem). Must have good planning, analytical, decision-making and communication skills. Develops analyses based on complex data for US Retail Markets (USRM) Claims & Service. Creates, updates and communicates call/claim volume forecasts in both short term (<8 weeks) and long term (up to 3 years). Quantifies the competitive performance of the business, evaluates potential operational changes, and designs new approaches and methodologies to solve business problems or improve analytical efficiency. Produces meaningful observations and recommendations through synthesizing data from internal and external sources. Utilizes advanced statistical techniques. Will regularly utilize, update and adapt predictive modeling tools and/or focus on the application of the tools. Leads own work stream and may manage research projects of moderate to high complexity. Conducts modeling/analytical work which directly impacts profitability, growth, and/or customer satisfaction outcomes. Presents findings / recommendations and leads discussions with senior leadership (VP/SVP) at the department or functional level. Serves as a resource to less experienced analysts.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618514178482", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618514381717, "name": "Assistant Director, Data Science", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "0014-Global Legal & Compliance-US", "t_update": 1765904700, "t_create": 1764535560, "ats_job_id": "73410", "display_job_id": "2025-73410", "type": "ATS", "id_locale": "2025-73410-en", "job_description": "Develops predictive and explanatory AI solutions that help improve legal decision-making using deep learning, machine learning, NLP (Natural Language Processing), and generative AI techniques. Applies broad knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions. Identifies new strategic opportunities for use of theoretical methods and tools. Researches and develops predictive analytic tools. Leverages knowledge to create and design solutions for business needs. Mines large data sets using sophisticated analytical techniques to generate insights and inform business decisions. Identifies and tests hypotheses, ensuring statistical significance, and builds 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 tradeoffs between and among choices, with a reasonable view into likely outcomes. Customizes analytic solutions to specific client needs. Responsible for larger components of projects of moderate to high complexity. Guides aspects of project design as a technical consultant for the team. Regularly engages with the data science community and participates in cross functional working groups. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset and serves as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Demonstrated proficiency in Python. Experience working with common technical infrastructure utilities (cloud-based compute, storage services, version control, etc). Ability to effectively self-manage longer-term efforts by establishing and adhering project milestones and deadlines. Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or business unit. Ability to give effective training and presentations to peers, management and 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. Experience developing and implementing generative AI solutions. Understanding of MLOps principles to aid in development and deployment of efficient, robust, and repeatable work products. Experience applying machine learning, deep learning, and/or NLP techniques, especially using PyTorch, Hugging Face, and sci-kit-learn on large, unstructured data. Experience working with insurance, claims, or legal data.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618514381717", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618513862089, "name": "Construction Risk Engineer, Inland Marine (Builders Risk)", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Houston, Texas, United States", "Los Angeles, California, United States", "Seattle, Washington, United States", "Phoenix, Arizona, United States", "Denver, Colorado, United States", "San Francisco, California, United States", "Dallas, Texas, United States", "Salt Lake City, Utah, United States"], "hot": 0, "department": "Risk Control", "business_unit": "3026-GRS-North America-US", "t_update": 1763391300, "t_create": 1761055380, "ats_job_id": "72768", "display_job_id": "2025-72768", "type": "ATS", "id_locale": "2025-72768-en", "job_description": "Builds strong relationships with general contractors, developers, brokers, underwriting, and claims to coordinate service strategies, programs, and procedures. Handles special situations on active jobsites to ensure timely resolution. Performs prospect and service work as needed. Plans, coordinates, and monitors risk engineering service commitments for assigned Master Builders' Risk customers and projects, aligning site activities with construction milestones (precon, foundation, structure, MEP rough-in, enclosure, fit-out, commissioning) to ensure services meet expectations of the Inland Marine business and distribution partners. Performs pre-bind and post-bind risk assessments, including plan/spec reviews and COPE data collection, to evaluate construction methods, phasing, logistics, adjacent exposures, temporary works, and critical operations (hot work, temporary heat/power, cranes/rigging, excavation/shoring, scaffolding/formwork, water intrusion controls). Assesses catastrophic exposures (windstorm, flood, earthquake, wildfire, convective storm) and develops site-specific mitigation plans (e.g., hurricane readiness, flood emergency action, crane weather protocols, tie-down/securement, winterization/freeze protection). Creates service plans and stewardship agendas for programs and high-value projects, documenting baseline metrics and goals (e.g., water intrusion events, hot work compliance, impairment frequency, recommendation closure rates) to track reduction in loss frequency/severity and demonstrate the value of the Builders' Risk partnership. Provides timely consultation to underwriting on prospects, renewals, and in-term changes, including project risk opinions, risk grading, anticipated maximum loss/PML perspectives, soft cost/Delay in Completion exposures, and recommendations that inform pricing, terms, and capacity. Communicates material changes in scope, schedule, design, or site conditions. Participates in acquiring and retaining profitable business by attending broker/insured meetings, preconstruction meetings, and bid-phase consultations; develops tailored service agreements that differentiate capabilities for complex risks (e.g., high-rise, wood-frame podium, healthcare, industrial, civil/infrastructure, renewable projects). Evaluates use of resources (service hours, travel/expenses), quality of service, program utilization, productivity, and portfolio loss trends. Prioritizes critical-phase site visits and employs hybrid service (remote reviews, sensor data) to optimize coverage across geographically dispersed projects. Leads major loss source analysis for Builders' Risk, with emphasis on water damage, fire/hot work, site security/theft, collapse/temporary works, and weather-driven losses. Designs and helps implement targeted controls such as Water Damage Prevention Programs (isolation/valving, pressure testing protocols, off-hours inspections, sensor deployment), hot work permitting and fire watch, impairment management, and site security plans. Fulfills risk assessment and service requirements by producing clear, prioritized site reports with actionable recommendations, timelines, and follow-up. Tracks closure and efficacy of controls; conducts stewardship reviews with customer leadership and brokers. Responds to special customer situations on active sites (e.g., water release, fire, severe weather impacts) with immediate guidance, escalation to internal partners, and post-incident analysis to expedite recovery and prevent recurrence. Designs and delivers customer training programs and toolbox talks for superintendents and trade partners (water intrusion prevention, hot work, crane/rigging awareness, severe weather prep, winterization, theft prevention). Provides checklists, job aids, and program templates to drive adoption at scale across master programs. Trains field and home office colleagues on Builders' Risk exposures, construction means and methods, and service best practices; contributes to guidelines, playbooks, and internal training. Represents the company at customer, broker, and industry events with technical presentations. Identifies opportunities and pilots new tools/technologies (e.g., IoT water sensors, weather alerting, camera analytics) that improve loss outcomes, customer experience, and service efficiency. Designs projects that enhance program results and increase utilization of value-add services customers choose to adopt. Conducts periodic workload and portfolio reviews; prepares specialized customer and program reports summarizing risk trends, service delivery, recommendation closure, and ROI on loss reduction. 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/618513862089", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618513573293, "name": "Small Commercial Senior Territory Manager", "location": "Seattle, Washington, United States", "locations": ["Seattle, Washington, United States", "Bellevue, Washington, United States", "Tacoma, Washington, United States"], "hot": 0, "department": "Sales - General", "business_unit": "3040-USRM-Distribution & Marketing-US", "t_update": 1763391660, "t_create": 1758908220, "ats_job_id": "72432", "display_job_id": "2025-72432", "type": "ATS", "id_locale": "2025-72432-en", "job_description": "Works closely with agents and brokers to drive flow of small commercial business. Manages renewal processes and works across multiple underwriting segments. Establishes position as a trusted advisor while delivering product, underwriting philosophy, appetite and system training, support retention and new business development to increase depth and maximize agency revenue. Provides appetite and target market clarity, identifies and addresses profit or quality of business concerns to ensure profitability across territory. Collaborates with Personal Lines (PL) or Business Lines (BL) counterparts to effectively partner with shared agency assignments. Provides leadership and mentoring for other team members, guidance on agency initiatives, and contributes ideas for continuous improvement. Performs other duties as assigned. Minimum six years of progressively more responsible insurance sales and management work experience. Advanced knowledge of company services, products, marketing techniques, insurance contracts, risk funding and rating plans, and industry trends. Proven track record of revenue growth and sales success in a prior role. Proven success in developing and building partnerships, decision making and problem solving. Advanced knowledge of the business including production management, claims, loss prevention, underwriting, administration, sales operations and agency business operations. Highly effective written and oral communication skills, including presentation, persuasion, timing, tact and negotiation skills. High degree of customer focus, interpersonal relationship skills and problem solving. Advanced analytical thinking, business analytics and business development skills. Well versed understanding of marketing principles. Must be licensed by the state if required. Ability to travel daily with occasional overnight travel. Appropriate driving record required to operate a company vehicle.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513573293", "isPrivate": false, "latlongs": "47.6061389,-122.3328481"}, {"id": 618513796391, "name": "GenAI Security Platform Architect", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Indianapolis, Indiana, United States", "Portsmouth, New Hampshire, United States", "Indianapolis, Indiana, United States", "Plano, Texas, United States", "Remote, Remote, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1765896120, "t_create": 1760381640, "ats_job_id": "72651", "display_job_id": "2025-72651", "type": "ATS", "id_locale": "2025-72651-en", "job_description": "Bachelor's degree in Computer Science, Engineering, Information Security, or equivalent experience. Minimum 8+ years in Cybersecurity with 3+ years focused on securing AI/ML systems or GenAI applications in production. CISSP certification required Demonstrated deep technical experience designing secure architectures for: ML pipelines and MLOps platforms (data ingestion, feature stores, training, model registry, deployment, monitoring). GenAI workloads (LLM APIs, fine-tuning, RAG, vector databases, agent frameworks). Cloud-native environments (containers/Kubernetes, serverless, service mesh, VPC/network security). Strong knowledge of AI-specific threats and mitigations: data poisoning, model inversion/membership inference, model theft/IP protection, adversarial examples, prompt injection/jailbreaks, exfiltration via outputs, and LLM supply chain risks. Practical familiarity with security frameworks and standards: NIST AI RMF, OWASP Top 10 (including LLM apps), MITRE ATT&CK and ATLAS, or similar. Hands-on experience implementing: Identity and access controls for AI services (service principals, fine-grained IAM, token and key management). Secrets management (Vault, KMS/Key Vault/Cloud KMS/HSM), encryption-in-transit/at-rest, data tokenization, DLP. Monitoring/logging for AI systems (model telemetry, prompt/response logging with privacy controls, drift/anomaly detection). Demonstrated ability to quickly learn and build expertise in diverse and emerging technologies and new architectural concepts and principles Strong influencing and consensus building skills, and the adaptability to respond to change quickly Strong communications skills, both written and verbal Ability to effectively collaborate with all levels of the organization with diverse backgrounds Strong desire to drive change, and ability to adapt to change quickly Excellent communication skills; ability to influence architecture and risk decisions across engineering, product, and executive stakeholders. Experience with enterprise GenAI platforms and tools: MLOps: SageMaker, Vertex AI, Cortex, AWS ML, Azure ML, MLflow, KServe/Seldon/Triton, Feast/Tecton HuggingFace. LLM/GenAI: Azure OpenAI, AWS Bedrock, OpenAI, LangChain/LangGraph/Semantic Kernel, vector DBs (Pinecone, Weaviate, FAISS/Chroma), guardrails/middleware (e.g., Llama Guard, Lakera, Protect AI, Robust Intelligence, HiddenLayer), GitHub Copilot, GitHub Copilot Coding Agent, Devin.ai, M365 Copilot, Copilot Web. Observability: Prometheus/Grafana, ELK/Opensearch, Splunk, Cribl; AI eval frameworks and red-team tooling. Advanced degree (MS/PhD) in Security, ML/AI, or related field is a plus. 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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;} 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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 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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 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;}