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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1750775820, "t_create": 1750251780, "ats_job_id": "70821", "display_job_id": "2025-70821", "type": "ATS", "id_locale": "2025-70821-en", "job_description": "Data Office Claims & Service, Insights & Solutions Data Science 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. Join the Property & Specialty Product Design & Modeling department to develop industry-leading pricing and underwriting models. We pride ourselves in developing the best-in-class models and making the team an awesome place to work! The P&S PDM team turns DS insights into business value and partners closely with business stakeholders to expertly align risk with rate. Analyst roles within the team range from leaning more heavily into research to inform our product design, to directly interfacing with regulators and Profit & Loss owners. Our analysts make an impact by improving model fits, researching new modeling techniques, increasing the speed of model deployments, improving capabilities to test, calibrate, and monitor models, and serving as technical experts to explain our models to the broader Property & Specialty organization. With opportunities for growth, mentorship, and engagement with the data science community, we offer a stimulating environment for those with a passion for technical excellence and problem-solving. The Property & Specialty Product Design and Modeling team is hiring an individual contributor to work on predictive modeling for our Specialty products. The ideal candidate is proactive and intellectually curious, resilient, highly technical, and can efficiently think through complex business questions independently. P&C experience and an actuarial background is highly desirable. This role may have in-office requirements depending on candidate location 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. Leads the rollout of the latest Umbrella Rebuild pricing programs with key responsibilities including adjusting models due to state restrictions, building supporting documents and responding to DOI objections Builds, modifies and interprets GLM pricing models for personal lines Umbrella and other programs in Excel, Emblem, and/or Python packages Oversees and coordinates the projects for two contractors supporting Umbrella initiatives Collaborate with Delivery, Specialty Product, Program Management, IT, and other business partners to help implement new Umbrella models Evaluates and verifies the outputs and processes, promptly communicating any issues that may arise Communicates in written, oral, and presentation formats effectively Applies knowledge of sophisticated analytical techniques to manipulate structured and unstructured datasets for generating insights to inform business decisions Enables the business on potential outcomes and provide informative trade-offs among options Supports other property and specialty research projects that drive risk segmentation as necessary Regularly engages with the data science and/or actuarial community and participate in cross functional working groups", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505023533", "isPrivate": false, "latlongs": "47.6061389,-122.3328481"}, {"id": 618504943946, "name": "Director, Data Science", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Boston, Massachusetts, United States", "Seattle, Washington, United States", "Columbus, Ohio, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1750179240, "t_create": 1749833100, "ats_job_id": "70727", "display_job_id": "2025-70727", "type": "ATS", "id_locale": "2025-70727-en", "job_description": "Build complex retention, conversion, and price elasticity models using various techniques including GLMs, machine learning, and causal inference techniques. Generate data-driven answers to open-ended strategic questions related to customer demand and present out on recommendations to leadership. Mine large data sets using sophisticated analytical techniques to generate insights and inform business decisions. Responsible for large, sophisticated components of highly complex projects. Guide aspects of project design as a technical consultant for the team. Enable the business to evaluate trade-offs between and among choices, with a reasonable view into likely outcomes. Drive innovation in the application and development of tools and practices. Identify and test hypotheses, ensuring statistical significance, and build predictive models for business application. Translate quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. Customize analytic solutions to specific client needs. Regularly engage with the data science community and lead cross functional working groups. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Advanced knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Ability to establish and build relationships within and outside the organization. Ability to give effective training and presentations to management and other groups. Ability to use results of analysis to persuade team, department management or senior management to a particular course of action. Broad knowledge of business drivers and market context. Has a value driven perspective with regard to understanding of work context and impact.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504943946", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618504973163, "name": "Enterprise Data Engagement & Communications Leader", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "New York, New York, United States", "Plano, Texas, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "3042-Enterprise Transformation & Solutions-US", "t_update": 1751064420, "t_create": 1750089600, "ats_job_id": "70757", "display_job_id": "2025-70757", "type": "ATS", "id_locale": "2025-70757-en", "job_description": "Project & Portfolio Execution: Lead and coordinate execution across multiple strategic initiatives including Town Halls, upskilling programs, community engagement activities and talent practices. Act as a central point of accountability to ensure timely delivery and alignment with team priorities. Communications Enablement: Maintain key communications channels such as newsletters, scorecards, and internal sites (myLiberty). Manage a communication calendar and toolbox to drive alignment of portfolio messaging across the ED&DS team. Support executive communications preparation as needed, focusing on clear and timely messaging aligned to business needs. Community Engagement: Help build a vibrant and connected data community by coordinating and scaling events such as Town Halls, managing collaboration platforms like Teams, and executing upskilling initiatives. Continuously evaluate satisfaction and engagement drivers (through surveys, stakeholder feedback, adoption measures, etc.) to ensure our efforts deliver meaningful impact and strengthen community bonds. Principal Business Analyst I: $108,000 - $153,000. Annual FTO days (Flexible Time Off): 20 Ability to navigate ambiguity and adapt priorities smoothly in a dynamic environment. Experience working in or closely with data and data science personas (e.g., Data Strategist, Data Steward, Data Product Owner, Data Engineer, etc.), with a solid understanding of how they work and what they need to be successful. 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 as a data persona or closely partnering with data personas (e.g., data strategist, data product owner, data solutionist, data steward, data engineer, data scientist, etc.) Ability to work EST", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504973163", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618504971874, "name": "Enterprise Data Governance Leader", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Seattle, Washington, United States", "New York, New York, United States", "Plano, Texas, United States", "Remote, Remote, United States", "Columbus, Ohio, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "3042-Enterprise Transformation & Solutions-US", "t_update": 1751045280, "t_create": 1750084140, "ats_job_id": "70752", "display_job_id": "2025-70752", "type": "ATS", "id_locale": "2025-70752-en", "job_description": "Shape the vision: Bring a strong point of view on what effective data governance looks like, grounded in industry perspective, internal context, and practical tradeoffs. Champion the evolution and adoption of our Enterprise Data Governance Playbook, ensuring alignment with compliance, risk, and business objectives. Drive execution: Run governance like a program, with defined workstreams, clear ownership, and success measures. Influence and align: Provide structure and clarity in moments of ambiguity, and help end circular debates by driving decisions to closure. Facilitate Data Governance leadership discussions, build alignment on key data policies, standards, and decision-making frameworks, and clear roadblocks by bringing facts, decisions, and recommendations to the right senior leaders. Connect the dots: Actively identify where business units are solving similar problems and facilitate targeted peer connections--not more meetings, but real collaboration. Help us scale these connections by partnering with our training experts to elevate and drive adoption of our standards, platforms, and best practices. Communicate value: Ensure governance efforts are well understood, appropriately scoped, and connected to business impact. Explain the \"why\" behind governance requests, set expectations, and build enterprise-wide support by telling a compelling story. Director II, Data Management (STP) $160,500 - $226,000. Annual FTO days (Flexible Time Off): 20 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 7-10 years of experience working in coding methodologies and design principles, particularly in open source tools and technology 3-5 years in data governance leadership strongly preferred Ability to work EST", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504971874", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618504350060, "name": "Senior Data Modeler", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Boston, Massachusetts, United States", "Indianapolis, Indiana, United States", "Columbus, Ohio, United States", "Plano, Texas, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1749771660, "t_create": 1746462780, "ats_job_id": "70079", "display_job_id": "2025-70079", "type": "ATS", "id_locale": "2025-70079-en", "job_description": "Responsible for the analysis, development and execution of data solutions, in order to manage the information lifecycle needs of an organization. Develops, constructs, tests and maintains data architectures for data platform, databases, analytical/reporting, or data science systems. Establishes and builds data systems including providing standards, policies, practice, procedures, governance and quality assurance for data deliverables. Bachelor's or Master's degree in technical or business discipline or equivalent experience, technical degree preferred. Minimum 5+ years of data engineering / data modeling experience. Extensive data modeling experience using industry standard methodologies and tools (Erwin, UML) Extensive experience with both relational (Postgres) and dimensional data modeling (Snowflake, SSAS). Extensive experience developing DDL for cloud platforms (Amazon Redshift, Amazon Aurora, Snowflake) preferred. Extensive experience utilizing data governance (Informatica IDMC). Experience working with AWS preferred. Experience deploying DDL within Amazon AWS (Redshift, Aurora, Snowflake) preferred. Experience building ETL pipelines preferred. Experience building automation into data modeling and deployments. Experience working with financial data. Experience with insurance industry preferred. 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. Excellent communication and collaboration skills.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504350060", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618504920181, "name": "Guidewire Policy Center Principal Data Engineer", "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": 1750956780, "t_create": 1749757620, "ats_job_id": "70708", "display_job_id": "2025-70708", "type": "ATS", "id_locale": "2025-70708-en", "job_description": "Guidewire Policy Center Principal Data Engineer This is a fast-paced environment providing rapid delivery for our business partners. You will be working in a highly collaborative environment that values speed and quality, with a strong desire to drive change and foster a positive work environment. You will have the opportunity to help lead this change with us as we grow this culture, mindset and capability. We encourage you to apply if this interests you: Work as ONE team committed to excellence Model and promote a ?Data First? attitude Help advance?Data Engineering?operations into the future Work with a modern tech stack Work in a dynamic and exciting agile environment with Scrum Masters, Product Owners, and team members to develop creative data-driven solutions with our ETL pipeline that meet business and technical initiatives. 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 the 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 with 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 Demonstrates leadership and active pursuit of optimizing data, CI/CD process and tools, testing frameworks & practices Must be proactive and self-driven, demonstrated 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 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. Bachelor or Master`s degree in technical or business discipline or equivalent experience, technical degree preferred Generally 8+ years of professional experience In-depth knowledge of IT concepts, strategies and methodologies In-depth knowledge of diverse and emerging technologies and new architectural concepts and principles Knowledgeable in data engineering languages and tools; proficient in new and emerging technologies In-depth understanding of layered solutions and designs; in-depth understanding of shared data engineering concepts and product features, as well as security minded In-depth knowledge of business operations, objectives and strategies; in-depth understanding of global business and technology trends and the financial services industry Highly developed negotiation, consensus building & influencing skills, facilitation and the adaptability to respond to change quickly Highly developed oral and written communication skills; strong presentation skills Ability to effectively collaborate with all levels of the organization", "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": 618503322305, "name": "Senior Cloud Data Engineer, Investments Technology", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1749497400, "t_create": 1743432660, "ats_job_id": "69494", "display_job_id": "2025-69494", "type": "ATS", "id_locale": "2025-69494-en", "job_description": "Does the thought of building a modern cloud-based data platform from the ground up excite you? If yes, then join us and be part of a team that's forging the path to data-driven success. Note: This role has a hybrid work arrangement in our Boston, MA office (2x/week) We have a large and varied customer base, supported by strategic business units that function as a complete investment firm within our Fortune 100 Company. Our investment professionals are critical to our ability to keep our promises to policyholders, claimants, and their families. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. A bachelor's degree in technical or business discipline, or equivalent experience 5+ years of experience in data engineering, with a proven track record of designing, building, and optimizing scalable data pipelines and architectures Expert-level proficiency in SQL and strong experience with Python for data transformation, automation, and orchestration Deep understanding of data modeling, data warehousing, and data architecture best practices Hands-on Experience with modern public cloud-based data platforms - Snowflake (preferable), AWS, Azure Advanced proficiency in AWS services including (but not limited to): S3, Glue, Lambda, EC2, and Athena Proficient with ETL/ELT data pipelines, patterns for loading Data Warehouses, Lakes Solid experience with DevOps practices and automation frameworks, including CI/CD pipelines, GitHub Actions, Bamboo, and pipeline-as-code principles Skilled in BI/reporting tools (e.g., Power BI, Tableau) Previous experience in Investments / Asset Management, Finance Data modeling, is highly desirable. Familiarity in building and consuming APIs (REST, API Gateway, etc.) Cognizance of security concerns, from access control and authentication to secured processes. Knowledge of containerization and orchestration tools (e.g.: Docker, Kubernetes) A comprehensive understanding of agile environments and the ability to adapt to rapidly changing circumstances. Work in Data and Analytics squad to design, develop, and enhance the data and analytics solutions and pipelines, driving data-driven decision-making processes. Collaborate with scrum masters, product owners, and engineering teams to iteratively create data and analytics solutions that meet both business and technical requirements. Work closely with development team in building Innovative, cloud native solutions using AWS, Snowflake, Python, Rest API etc. Continuously enhance full delivery pipeline through automation, expanded yet increasingly efficient test coverage, ultimately optimizing time-to-market and overall quality Optimize and fine-tune existing data pipelines for performance, scalability, and reliability. Implement data quality checks and monitoring processes to ensure data accuracy and consistency. Stay current with industry trends and best practices in data engineering and recommend improvements to existing processes. Mentor junior engineers in the team; collaborate in technical documentation; participate in code reviews and adhering to engineering excellence/best practices. Strong advocate for design thinking, clean code, and test-driven development", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503322305", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618504781561, "name": "Sr Director, Technology \u2013 GRS Business Data Products", "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": 1749732000, "t_create": 1748971980, "ats_job_id": "70527", "display_job_id": "2025-70527", "type": "ATS", "id_locale": "2025-70527-en", "job_description": "Description The GRS Tech Data & Analytics team is focused on delivering best in class data, analytics, and digital content Tech solutions to Global Risk Solutions. Data and Analytics is a strategic business and technology priority for Global Risk Solutions. GRS Business Data Products is searching for a highly productive, experienced Senior Director to define, drive and implement our Data Strategy across various strategic data platforms in multiple domains including Underwriting, Operations, Claims, and Distribution. This will include leading technical teams, driving delivery, setting department objectives and motivating teams to achieve those objectives. You will partner with customers and data engineering teams to help define and prioritize customer needs and develop valuable state-of-the-art cloud-based data solutions. Leads the strategic design and development of new systems across multiple environments and business groups. Incorporates best development practices and adheres to and advances the software development lifecycle. Partners with Directors and business clients to create effective development teams that support the business needs from idea to production. Leads support for a portfolio of applications. Drives and implements change and continuous improvement. Maintains breadth and depth of perspective, utilizing enterprise and industry/market trends. Builds a high performing organization. About the role: Directs the strategic design of new 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/618504781561", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618503244631, "name": "Director I, Data Steward - Liberty Mutual Investments", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1749497280, "t_create": 1742909280, "ats_job_id": "69424", "display_job_id": "2025-69424", "type": "ATS", "id_locale": "2025-69424-en", "job_description": "Independently work on implementing, automating, and strengthening data management and data quality controls within a central and federated data steward model. Identify quality metrics and thresholds by working with the business data owners and users. As a recognized subject matter expert, owns and publishes reports related to quality metrics along with root cause analysis and mitigation options to the end user community. Identify and manage the resolution of complex data quality issues in a timely fashion. Consults on the management of data throughout its lifecycle from creation to retirement by participating in the development, definition, and execution of policies, guidelines, and quality control procedures for the reporting and dissemination of data. Demonstrate a mastery over multiple domains (i.e. MDM, lineage, data security, data quality, etc.) in solving business use cases. Works with stakeholders to define metrics that are impactful for the business. Develop and define data validation, verification, and reconciliation strategies to support data governance, stewardship, and security. At least 10-15 years of experience in asset management or financial services, including extensive experience with portfolio relevant data and analytics. Strategic Thinking: Ability to analyze complex problems, identify patterns, and develop insights that can inform business decisions. Strong technical expertise: You should possess a high level of understanding of financial industry and in particular asset management internal and external data set content, expertise in data analytics, data management, and data modeling. You should be proficient in programming languages such as both Python and SQL. Knowledge of data visualization tools, such as Power BI, is also desirable. Strong domain knowledge: Demonstrate a mastery over multiple domains (i.e. ABOR, IBOR, MDM, lineage, data quality, etc.) in solving business use cases. Develop and define data validation, verification, and reconciliation strategies to support data governance, stewardship, and security. Financial Industry Expertise: You should have a deep understanding of financial industry master data, market data, and portfolio analytics. You should be familiar with the financial instruments and the various financial data sources in the asset management industry. Data Governance and Management: You should be well-versed in data governance principles and should have experience in developing and implementing data governance policies and procedures and standards. Analytical & Problem-Solving Skills: You should possess strong problem-solving skills and be able to design and implement solutions to complex data management challenges. Organizational Skills: Demonstrate ability to define, organize and roadmap multiple priorities simultaneously. Communication and Collaboration Skills: You should have excellent communication and collaboration skills to effectively work with different teams within the organization, such as IT, investment management, operations, finance, and compliance as well as externally with data and platform solutions providers. 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Analytics & Visualization Build and refine analytic models, develop robust data pipelines and interactive dashboards, leveraging advanced Python, SQL, Dash and Power BI to translate complex data sets into actionable insights. Machine Learning & AI Employ statistical techniques, machine learning algorithms, and GPT-based solutions to improve market analysis, develop investment strategies, and enhance decision-making processes. Innovation & Continuous Improvement Proactively identify opportunities to upgrade capabilities and stay at the forefront of fixed-income analytics. Monitor industry trends, market developments, and new analytical tools to maintain a competitive edge. Numerate self-starter with a bachelor's degree in finance, Economics, Mathematics, Computer Science, Engineering, or a related field (Master's degree a plus). 3+ years of experience in portfolio analysis or investment management, with a strong preference for quantitative fixed-income experience. 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