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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Provide both strategic and hands-on direction in Specialty pricing model development, including technical oversight, execution, and timely delivery of new models. Oversee the design, build, and implementation of predictive models for Landlord, Umbrella, Condo, Renters, and related Specialty products. Partner with leaders across the Property and Specialty Product group and the Specialty Risk Analytics team to align modeling efforts with business strategy, including strategizing complex objection responses. Drive innovation in modeling techniques and processes, identifying opportunities to enhance current models and anticipate future product needs. Responsible for the management, technical oversight and development a team of data science and advanced analytics staff, which may include subordinate managers. Coaches team to understanding of organizational vision and goals. Collaborates with business partners to develop tools and services such as modeling, dashboard development, and decision aids to drive strategic decision making. Provides strategic and tactical direction at the highest levels. Has accountability for the performance and results of one or more large, strategically important business unit in an extremely large market. Works on issues of diverse scope where analysis of situation or data requires evaluation of a variety of factors, including an understanding of current business trends. Owns relationship with a defined segment of the business, delivering advanced tools and insights, including ongoing monitoring of metrics and initiatives. Responsible for highly technical, individualized and difficult to develop tools and their usage which are transformative in nature and have broad strategic impact to the aligned business units(s). Leads highly technical, complex, and cross functional projects that drive change across function, SBU or Corporate Department. Directs and may perform highly complex, technical and creative predictive analytics projects and cross functional assignments within designated business unit collaborating with multiple functions. Shapes the data science community and/or larger audiences and leads cross functional working groups.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513795697", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618513766228, "name": "Sr Director Product Management - Data Domain", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Product Management", "business_unit": "3035-GRS-Office of Operations-US", "t_update": 1760363640, "t_create": 1760111280, "ats_job_id": "72625", "display_job_id": "2025-72625", "type": "ATS", "id_locale": "2025-72625-en", "job_description": null, "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513766228", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618513709136, "name": "Director, Data Science - Claims", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1760102040, "t_create": 1759772940, "ats_job_id": "72554", "display_job_id": "2025-72554", "type": "ATS", "id_locale": "2025-72554-en", "job_description": "\ufffd Lead a small team of Data Scientists and help them develop in their careers by setting clear goals and expectations, inspiring high performance, leveraging a diversity of perspectives, and supporting them as they grow and develop. \ufffd Collaborate with Engineers, Product Owners, Architects, UX experts, and other professionals, to build sophisticated AI applications. \ufffd Advance our sophistication across key aspects of AI application design, including foundation model selection, RAG system design, agentic application development, prompt engineering, and more. \ufffd Advance our abilities to measure the accuracy and effectiveness of these systems, including both human expert feedback and algorithmic evaluation. \ufffd \ufffd systems, agentic frameworks, and associated technologies. \ufffd \ufffd \ufffd Deep knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset, to include highly technical tools. Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent. Demonstrated ability to exchange ideas and convey complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which s/he interacts. Ability to establish and build relationships within and outside the aligned functional area or SBU. Ability to give effective training and presentations to management and other groups. Presents to senior or functional department leaders or executives. Broad knowledge of business drivers and market context. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study) and 5 to 7 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) with 10 years of relevant experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513709136", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618513708517, "name": "Service Director - Construction", "location": "Philadelphia, Pennsylvania, United States", "locations": ["Philadelphia, Pennsylvania, United States", "Baltimore, Maryland, United States", "Boston, Massachusetts, United States", "Pittsburgh, Pennsylvania, United States", "New York, New York, United States", "Hartford, Connecticut, United States"], "hot": 0, "department": "Risk Control", "business_unit": "3026-GRS-North America-US", "t_update": 1760102280, "t_create": 1759765560, "ats_job_id": "72543", "display_job_id": "2025-72543", "type": "ATS", "id_locale": "2025-72543-en", "job_description": "Develops effective relationships with customers, business partners and peers to coordinate service arrangements, programs and procedures. Handles special customer situations and problems to ensure timely resolution. Performs prospect and service work as necessary. Plans, coordinates and monitors the service commitments for assigned customers to ensure risk control services are delivered effectively, efficiently and meet expectations of the department, business unit or market partner. Evaluates customer prospect and service levels, Risk Control Consultant workloads, and regional capacity. Evaluates, monitors and documents Risk Control Stewardship service levels. Participates in actively acquiring and retaining profitable business. Provides consultation, information and expert analysis to assist the account team with new business solicitation, and renewals. Keeps underwriting , account and Risk Control team apprised when significant changes occur in a customer's operations, exposures, ownership or organizational structure. Participates in prospecting new business and developing service agreements fosters new partnerships and strengthens existing relationships with customers and business unit/market partners. Evaluates use of resources (services hours, expenses, etc.), quality of service, utilization of programs, productivity, net gain in book of business and other key indicators. Identifies opportunities and may design projects that improve results and increase the number and quality of services customers choose to buy. Provides major loss source analyses, products and training. Fulfills risk assessment and service requirements as assigned. Trains field and Home Office employees in service related functions and activities. Designs and implements customer training programs. Makes presentations at customer training and other functions Demonstrated abilities in leadership, planning, relationship building, consulting, customer service, and communications (particularly presentations, persuasion, and writing) Advanced knowledge of loss prevention principles, practices and core service capabilities as they relate to performance and profitability Demonstrated ability to retrieve and enter information using various proprietary software applications and create/modify documents and spreadsheets using Microsoft Office suite Knowledge and skills required are normally acquired through a bachelor's degree with coursework in math, engineering or related areas (or equivalent), a minimum 8 years relevant experience in Risk Control or progressive safety and health field, and an advanced degree and/or professional certification in one or more of the following areas: CSP, ARM, CRM, CPCU, CIH, or CPE Travel may be required", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513708517", "isPrivate": false, "latlongs": "39.9525839,-75.1652215"}, {"id": 618513647329, "name": "Assistant Director, Data Science", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Seattle, Washington, United States", "Remote, Remote, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1760128020, "t_create": 1759347540, "ats_job_id": "72497", "display_job_id": "2025-72497", "type": "ATS", "id_locale": "2025-72497-en", "job_description": "Apply knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions. Lead end-to-end development of new predictive models for high-impact business outcomes (e.g., improving claims handling efficiency): frame and test hypotheses, design statistically rigorous experiments, assemble/label training data, engineer features, and train/validate models. Build state-of-the-art ML systems that leverage structured data, unstructured text, and generative AI; select and implement appropriate algorithms and evaluation methods to deliver measurable accuracy and business value. Follow ML Ops best practices to create organized code repos, production-quality code, and reproducible results. Stay up-to-date with the latest advancements in data science and machine learning, and apply them to solving complex problems in the insurance claims domain. Provide technical mentorship and guidance to junior data scientists. Responsible for larger components of projects of moderate to high complexity. Communicate findings through technical presentations, reports, and recommendations to both technical and non-technical stakeholders. Participate in cross-functional working groups and contribute to the broader data science community to promote best practices. Broad conceptual understanding and practical knowledge of the end-to-end data science lifecycle. Exceptional hands-on data science technical skills (e.g. SQL, Python, and Statistical Inference). Experience collaborating with non-technical stakeholders to understand which problems need solving, design solutions, and bring them to market. Experience working with complex Type II data to assemble training datasets to appropriately model operational processes. Proficiency in Python and MLOps practices, with experience in version control (Git), code review, collaborative development workflows (e.g., GitHub/GitLab), and model versioning/experiment tracking (e.g., MLflow). Knowledge of claims handling processes and experience working with claims data. Experience developing LLM-based solutions for production use cases. Practical experience with cloud platforms like AWS (preferably), Google Cloud, or Azure. Familiarity with data pipeline and workflow management tools like Airflow, among others. 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 2 years of relevant experience, a Master`s degree (scientific field of study) and 4 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and 5+ years of relevant experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513647329", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618513607757, "name": "Director, Data Science - Property", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1760716320, "t_create": 1759240680, "ats_job_id": "72462", "display_job_id": "2025-72462", "type": "ATS", "id_locale": "2025-72462-en", "job_description": "Description The creative problem-solvers in Liberty Mutual's Insights & Solutions group harness the power of data, analytics and technology to develop innovative solutions that drive our US Retail Markets business forward and support a high-performing culture. This group brings together highly talented thinkers and doers ready to challenge the status quo and make an impact. As a member of this cross-functional group, you'll collaborate with teams across Liberty Mutual to deliver analysis that unlocks insights and sparks new, better ways of working. The Insights & Solutions team provides critical analysis through five functional groups within US Retail Markets. The US Retail Markets Data Science team brings together a diverse range of talent to predict future risk and what our customers will need to recover. Our data engineers write code that turns trillions of bits of information into structured data--data that our hundred-plus Data Scientists analyze with cutting-edge modeling techniques to unlock insights. From there, our tools and deployment teams ensure this data can be practically applied to business problems across US Retail Markets. Join us and be a part of this dynamic group driving industry-leading data segmentation, fueling the team's success now and into the future. This Director, Data Science oversees a team (3-5) of data science, advanced analytics, and actuarial resources. Specifically pushing the boundaries to bring cutting edge segmentation to the H3 (Property) Line of Business. This manager will be recognized as a thought leader for the team in terms of future research, in addition to managing analysts through the model build and rollout phases of the modeling lifecycle. This position requires deep knowledge of predictive analytics techniques, and advanced application of applying those techniques to business issues. About the role: Collaborates with business partners to collect innovation ideas, formally through Quarterly Process Improvement (QPE) meetings, and continuously. Partners across Product teams, USDS, and within Property and Specialty Product Design and Modeling (P&S PDM) team. Establish and maintain strategic partnerships within USDS and external teams to amplify project impact. Recognize when project progress is blocked and effectively communicate with team members and partners to resolve the obstacles and align on best next steps. Responsible for management, technical oversight and development for a team of data science, advanced analytics staff and actuarial talent Challenge the status quo from process to science, considering how we could improve & innovate throughout the Data Science Lifecycle. Once an improvement opportunity is identified, document & prioritize it to be acted upon. Support timely development and implementation of major pricing updates (ex. HMR 3). Following through with research ideas into the model build and rollout phases to ensure execution aligned with original intent. Provides strategic input on highly technically complex projects that drive change across USDS, P&S or Corporate Department. Directs work through others and may perform highly complex, technical and creative predictive analytics projects. Shapes the data science community and leads cross functional working groups. Qualifications Deep knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset, to include highly technical tools. Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent. Demonstrated ability to exchange ideas and convey complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which s/he interacts. Ability to establish and build relationships within and outside the aligned functional area or SBU. Ability to give effective training and presentations to management and other groups. Presents to senior or functional department leaders or executives. Broad knowledge of business drivers and market context. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study) and 5 to 7 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) with 10 years of relevant experience. Insurance or financial services industry experience preferred. 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/618513607757", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618513596284, "name": "Director, Data Science", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1760644860, "t_create": 1759163040, "ats_job_id": "72450", "display_job_id": "2025-72450", "type": "ATS", "id_locale": "2025-72450-en", "job_description": "Oversee the management, technical oversight, and development of a team of data science professionals focused on tactical pricing strategies. Collaborate with business partners to both ensure appropriate reaction to emerging trends and proactively identify areas of concern. Establish frameworks outlining decision-making processes to drive the identification and evaluation of tactical pricing opportunities. Support the implementation of tactical pricing changes, ensuring robust consultation and collaboration across the org regarding state-specific opportunities. Engage with stakeholders to discuss state-specific opportunities and triage actions. Deep knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset, to include highly technical tools. Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent. Demonstrated ability to exchange ideas and convey complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which s/he interacts. Ability to establish and build relationships within and outside the aligned functional area or SBU. Ability to give effective training and presentations to management and other groups. Presents to senior or functional department leaders or executives. Broad knowledge of business drivers and market context. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study) and 5 to 7 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) with 10 years of relevant experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513596284", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618513329851, "name": "Assistant Director, Data Science, Modeling Sophistication", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1760185860, "t_create": 1758136560, "ats_job_id": "72303", "display_job_id": "2025-72303", "type": "ATS", "id_locale": "2025-72303-en", "job_description": "Design, train, and deploy computer vision and deep learning models, from research and experimentation through production implementation. Collaborate with business stakeholders to deliver data products such as feature pipelines, predictive models, dashboards, and datasets derived from image data. Develop and maintain scalable data pipelines and model workflows, applying MLOps best practices for reproducibility, deployment, and monitoring. Research and prototype new methodologies for training, evaluating, and improving deep learning models, particularly for computer vision. Integrate model outputs into business applications and partner with engineering teams to operationalize models in production environments. Contribute to the design, construction, and validation of large and complex datasets in collaboration with cross-functional science teams. Communicate findings through technical presentations, reports, and recommendations to both technical and non-technical stakeholders. Participate in cross-functional working groups and contribute to the broader data science community to promote best practices. Demonstrated expertise in deep learning with an emphasis on computer vision. Strong foundation in machine learning, statistics, experimental design, and model evaluation metrics. Proficiency in Python and MLOps practices, with experience in version control (Git), code review, collaborative development workflows (e.g., GitHub/GitLab), and model versioning/experiment tracking (e.g., MLflow). Proficiency in deep learning frameworks such as PyTorch (preferred) or TensorFlow, with experience in model design, training, and deployment. Experience building and managing pipelines with workflow orchestration tools (e.g., Airflow, Luigi). Experience with Docker and CI/CD pipelines. Experience with container orchestration systems such as Kubernetes. Understanding of GPU acceleration, distributed training, and model optimization techniques (e.g., mixed precision, pruning, quantization). Experience with multimodal learning, including vision-language models and cross-modal representation learning. Track record of advancing research projects from ideation to implementation. 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/618513329851", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618513306787, "name": "Sr Director, Technology - Actuarial, ML/AI Engineering, and Modernization", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Columbus, Ohio, 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": 1760102280, "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": 618506068833, "name": "Asst Director, Data Solutions - Agile Metrics", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Indianapolis, Indiana, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1760101980, "t_create": 1755179100, "ats_job_id": "71757", "display_job_id": "2025-71757", "type": "ATS", "id_locale": "2025-71757-en", "job_description": "Independently prototypes/develops data solutions of high complexity to meet the needs of the organization and business customers. Designs proof-of-concept solutions utilizing an advanced understanding of multiple coding languages to meet technical and business requirements, with an ability to perform iterative solution testing to ensure specifications are met. Acts as a technical leader and mentor to the team. Designs and develops data solutions that enables effective self-service data consumption, and can describe their value to the customer. Collaborates with stakeholders in defining metrics that are impactful to the business. Prioritize efforts based on customer value. Has an in-depth understanding of Agile techniques. Working with IT, assists in building robust systems focusing on long-term and ongoing maintenance and support. Ensures data solutions include deliverables required to achieve high quality data. Works with IT to help scale prototypes. 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