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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"t_update": 1758045840, "t_create": 1758027480, "ats_job_id": "72258", "display_job_id": "2025-72258", "type": "ATS", "id_locale": "2025-72258-en", "job_description": "Description The Global Data and Advanced Analytics (GDAA) team is focused on delivering best in class data, analytics, and business insights solutions to Global Risk Solutions. GRS Actuarial and Data Science is searching for a highly productive, experienced Senior Director to define, drive and implement our Data Strategy while leading technical teams, driving delivery, setting department objectives and motivating teams to achieve those objectives. The Actuarial Reporting and Analytics Engineering teams deliver data insights for Risk Selection, Exposure Management, Pricing, Reserving, Loss Forecasting, and Portfolio Management, and are critical partners to GRS Flagship initiatives including Quote Bind Issue (QBI) and Cyber Underwriting. The Data Science Engineering teams enable predictive, AI, and Gen AI model insights through easy-to-use and cost-effective technology solutions across GRS functional domains, for Claims management, Risk Selection and Exposure Management, Pricing, and to enable process re-engineering outcomes across the Underwriting value stream. You will partner with customers, data engineering, data scientists, and subject matter experts in the business to help define and prioritize customer needs and develop valuable state-of-the-art cloud-based solutions. In partnership with Enterprise Data and Data Science, you will leverage the power of the firm to optimize ML Engineering practices and ML Ops, and advance innovative solutions to solve the most impactful business problems, driving GRS to be an industry leader. The role will have additional responsibilities in supporting and leading data modernization initiatives. Leads the strategic design and development of capabilities and systems across multiple environments and business groups. Incorporates best development practices and adheres to and advances the ML/AI and Gen AI practices incorporating best practices. Partners with Directors and business clients to create effective engineering teams that support the business needs from ideation to implementation. Leads support for a portfolio of applications. Drives and implements change and continuous improvement, with a focus on disciplined execution and expense management practices. Maintains breadth and depth of perspective, utilizing enterprise and industry/market trends. Builds a high performing organization. About the role: Directs the strategic design and development of capabilities and systems across multiple environments and business groups. Implements business and/or I/S vision, critical success factors and operating plans ensures the implementation and use of best software development practices. Communicates department/enterprise vision, strategies, critical success factors and plans develops high level plans. Anticipates and manages technology evolution and relates it to business solutions. Sets high level direction based on knowledge of industry trends, overall technology standards, and alignment to the business. Hires and manages lower level managers coaches and counsels managers regarding management techniques. Determines and manages staffing strategy and plan (# of FTEs, skills needed, depth of experience, internal and external staffing mix) consistent with the needs of the department. Defines department objectives and identifies and addresses group development needs to create high performance software development organization. Initiates and fosters business partnerships with current and potential clients, vendors, I/S executives, and senior business executives develops relationships that promote trust and increase efficiency and effectiveness balances individual client needs with business priorities assuring alignment with the business strategies and objectives. Oversees the development, implementation and execution of multiple projects ensuring scope and schedule are established for projects oversees operating plan and resource allocation for the department, including prioritization and staff deployment acts based on changed priorities. Jointly establishes financial targets with business partners and ensures that projects deliver to plan. Develops and maintains a network of industry contacts performs or directs research on industry trends, competitors, business and IT products analyzes trends and makes strategic and tactical recommendations. Ensures system, technical and product architectures are aligned with business objectives. Qualifications Bachelor's or Master's Degree in technical or business discipline or related experience; Master's Degree preferred. Generally a minimum of 15 years related experience with 5 years in leadership role desirable. In-depth knowledge of IT concepts, strategies and methodologies and their application to business opportunities. In-depth knowledge of business operations, objectives and strategies. In-depth knowledge of project planning methodologies and tools and IT standards and guidelines. Advanced knowledge of management concepts, practices and techniques. Ability to promote a team environment consisting of several teams. Highly developed negotiation, facilitation and consensus building skills. Highly developed oral and written communication skills; strong presentation skills. 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": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513306787", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618505002961, "name": "Principal Data Engineer", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Boston, Massachusetts, United States", "Indianapolis, Indiana, United States", "Plano, Texas, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1757972640, "t_create": 1750184040, "ats_job_id": "70798", "display_job_id": "2025-70798", "type": "ATS", "id_locale": "2025-70798-en", "job_description": "Builds and designs a complex master data architecture that improve performance, scalability, governance, and quality of data. 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In-depth knowledge of IT concepts, strategies and methodologies Proven experience designing solutions using cloud computing platforms & services (AWS, Lambda, Kubernetes) Working knowledge of data solutions such as Postgres and Mongo Atlas. Proven experience designing & building APIs (REST, SOAP, API Gateway, SpringBoot, etc.) Experience in agile software delivery (Scrum, Kanban, XP, etc.) Highly proficient in software engineering tools such as GIT Hub and Jira. Versed in diverse technologies and technical architecture principles and concepts. Extensive knowledge in layered systems architectures solutions and designs and shared software concepts. Knowledge of Application Monitoring tools like DataDog Strong consultative skills, including the ability to understand and apply customer requirements, including drawing out unforeseen implications and making recommendations for design, the ability to define design reasoning, understanding potential impacts of design requirements. 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Liaise with Compliance, Privacy, and central GenAI teams. Continuously scan the Gen AI landscape: model releases, orchestration frameworks, prompt-engineering trends?and assess fit for our roadmap Establish engineering standards for code quality, observability, cost-efficient LLM usage, and secure development Mentor MLOps engineers and full-stack developers; foster a dynamic, collaborative culture that earns trust across technical and business teams Design of end-to-end solutions as an architect or senior engineer; proven Tech Lead for small, agile teams and the ability to work through others Ability to communicate complex AI concepts to non-technical stakeholders and influence decision-makers with a calm, measured style. 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Highly developed interpersonal skills to drive and influence major transformational program outcomes. In-depth knowledge of business operations, objectives and strategies. In-depth knowledge of agile methodology, and ability to mobilize multiple agile delivery teams across multiple domains towards a single mission. Experience with Jira, Confluence, and SPM tools. Knowledge of technology concepts, strategies and methodologies typically acquired through a bachelor's or master's degree in technical or business discipline. More than 10 years' experience in a practice relevant domain including delivering software solutions in an agile environment in the property & casualty insurance industry. In-depth knowledge of IT concepts, strategies and methodologies and their application to business opportunities. 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Demonstrated experience writing optimized Anaplan formulas and ensuring model performance and governance. Experience collaborating with different business stakeholders to translate needs to actionable technical specifications. Experience designing and implementing integrations between Anaplan and other enterprise systems (EPR, CRM, data warehouses). Experience acting as a technical advisor/coach on complex Anaplan issues. Communicating complex Anaplan issues to non-technical partners. Business operations, objectives and strategies, global business and technology trends and the financial services industry. Familiarity with Financial concepts and Investment concepts strongly preferred. 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Drive the strategic replacement of legacy mainframe applications with SIMPL as the core platform foundation, ensuring robust, scalable data ingestion and curation processes for premium and loss data. Oversee multiple cross-functional teams and simultaneous delivery tracks as the SIMPL program scales, ensuring alignment, collaboration, timely execution, and proactive identification, mitigation, and resolution of risks and issues to drive successful program outcomes. Optimize the staffing model and managing resource capacity and costs to support program growth and operational efficiency. Contribute to the strategic architecture vision for long-term data ingestion into Finance, starting with domestic data and partnering with architects from GFT, GRS, USRM to gain alignment on design & delivery. Bachelor's or Master's Degree in technical or business discipline. Minimum 10+ years of Software Engineering related experience. Minimum 5+ years in a leadership role. Minimum 5+ years' technical experience leading projects and portfolio management. Create a compelling and flexible implementation roadmap. Operate as a subject matter expert for Finance Systems in the portfolio, be a point of contact for integration with upstream and downstream processes. Manage financial and regulatory complexities. Ensure adherence to enterprise design, technical architecture, standards, audit and change management. Operationalize solution through hyper-care and transition to support teams. Manage projects including resource allocations, financials/budgets, work plans, issue & risk management, and status reporting. Dynamic leader who can energize multi-disciplined work teams to develop and execute strategies based on current and anticipated needs. Provides direction in resolving conflicts, as well as coaching poor performers to improved levels of performance. In-depth knowledge of IT concepts, strategies and methodologies and their application to business opportunities. In-depth knowledge of business operations, objectives and strategies. Advanced knowledge of management concepts, practices and techniques. Ability to promote a team environment consisting of several teams. Highly developed negotiation, facilitation and consensus building skills. 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Design and develop solutions to support ingestion, curation and provisioning of complex enterprise data to achieve analytics, reporting, and data science Analyze, develop and execute data integration solutions, to manage the information lifecycle needs of an organization. Designs and builds data provisioning workflows/pipelines, physical data schemas, extracts, data transformations, and data integrations and/or designs using ETL and API microservices Builds data architecture and applications that enable reporting, analytics, data science, and data management and improve accessibility, efficiency, governance, processing, and quality of data. Improve speed to market by focusing on current data needs as well as building out long-term strategic data solutions using AWS, Snowflake, SQL, Informatica, as well as other modern data technologies Provide successful deployment and provisioning of data solutions to production or other required environments. Analyze complex technical problems and is expected to recommend process improvements that address complex technology gaps within a single business process and improve data reliability, quality, and efficiency Bachelor's or Master's degree in technical or business discipline or equivalent experience, technical degree preferred. Generally, 5+ years of professional data engineering experience Highly proficient in data engineering languages and tools, and strong proficiency in general programming languages and frameworks; ability to develop on multiple platforms. Required - Experience integrating Guidewire systems creating Data warehousing solutions in Snowflake for reporting, analytics, or data warehousing purposes, often using APIs and ETL tools. Extensive understanding of agile data engineering concepts and processes, such as CICD, pipelines, and iterative development and deployments Demonstrated experience delivering data solutions via agile methodologies on AWS, S3, Athena, Snowflake, IDMC ETL Requires critical thinking, data analysis, and data modeling experience Must be proficient in SQL and experience with Python and JavaScript Experience with ETL (Informatica PowerCenter/IDMC) and knowledge of variety of data platforms and ingestion patterns including eventing & streaming Demonstrate leadership and active pursuit of optimizing data, CI/CD process and tools, test frameworks & practices Must be proactive and self-driven, demonstrate initiative and be a logical thinker. Strong leadership, communication, collaboration skills with a track record of taking solution ownership Thorough knowledge in the following areas: Personal Line P&C insurance, general IT concepts, strategies and methodologies, thorough knowledge of new data architecture principles and concepts, thorough understanding of layered systems architectures, extensive knowledge of business operations, strategies and objectives.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504920181", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618505375104, "name": "Senior Data Engineer \u2013 Cloud Data Warehousing", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1757937840, "t_create": 1751572380, "ats_job_id": "71095", "display_job_id": "2025-71095", "type": "ATS", "id_locale": "2025-71095-en", "job_description": "Work in a Data and Analytics squad to design and build robust data pipelines that deliver high-quality insights to our investment teams. Collaborate with diverse teams of data engineers and product partners who believe in continuous learning, respectful collaboration, and inclusive data solutions. Build and optimize scalable, reliable, high-performance automated data pipelines and solutions using Snowflake and AWS. Drive data quality, governance, and observability practices throughout the development lifecycle. Stay current with industry trends and best practices in data engineering and recommend improvements to existing processes. Contribute to a culture of learning by mentoring junior engineers, participating in code reviews, and promoting engineering excellence and best practices. A bachelor's degree in technical or business discipline, or equivalent experience. 5+ years of experience in data engineering, with designing, building, and optimizing scalable data pipelines and architecture. Design and build data provisioning workflows/pipelines, extracts, data transformations, and data integrations using Snowflake cloud-native features in an AWS cloud environment. Intermediate experience using Python for data transformation, integration, and automation. Hands-on experience with modern public cloud-based data platforms--Snowflake, AWS (e.g., S3, Glue, Lambda). Proficiency with ETL/ELT pipelines and patterns for loading data warehouses and data lakes. Hands-on experience building and deploying CI/CD pipelines (e.g., GitHub Actions, Bamboo, or similar tools). Exposure to the Investments or Finance domain is highly desirable. Familiarity with building and consuming APIs (e.g., REST, API Gateway). 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