We’re committed to putting people first – if you need an accommodation as you go through the job searching, application, and interviewing process, please click here for more information.
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United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1774473600, "t_create": 1774452720, "ats_job_id": "75248", "display_job_id": "2026-75248", "type": "ATS", "id_locale": "2026-75248-en", "job_description": "Description Modeling Data Solutions is seeking experienced data engineers to join our Data Solutions job family. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. This is a range posting. Level of position offered will be based on skills and experience at manager discretion. This role may have in-office requirements based on candidate location. In this role, you can expect to: Lead the design, development, and maintenance of scalable and efficient data pipelines and ETL/ELT processes to support analytics and pricing models. Architect and implement high performance data integration solutions using modern tools and cloud services (AWS preferred) with attention to latency, throughput and cost. Implement and maintain automated data quality and testing frameworks (unit, integration, regression, anomaly detection) to ensure data correctness and trust for downstream analytics Collaborate with cross functional teams, including data scientists, product analysts, software engineers, to gather requirements, design solutions, and provide technical guidance for production launches Optimize and tune data infrastructure for performance, scalability, reliability and cost-efficiency (query tuning, partitioning, resource configuration, storage formats such as Parquet/Delta). Mentor and guide junior data engineers, promoting engineering best practices, code review and thoughtful design. Stay up-to-date with advancements in data engineering, evaluate new tools and recommend adoption where appropriate. Identify opportunities to apply Gen AI for data discovery, lineage summarization, automated documentation, query generation and developer productivity (prompt engineering and code generation) Incorporate Gen AI capabilities into data workflows and developer tooling and help operationalize safe, cost-effective Gen AI integrations. The ideal candidate will: Have strong technical aptitude with data extraction and data engineering platforms (Python, Spark/PySpark, SQL, cloud computing: AWS and Snowflake). Demonstrate 5+ years of experience building production data pipelines and platforms, with both batch and streaming experience Possess hands-on experience with data quality testing frameworks and practices, and experience implementing automated data tests and validation. Have practical experience collaborating in Agile teams and applying Agile best practices (sprint planning, refinement, retrospective). Have excellent communication skills and the ability to work with technical and non-technical stakeholders. Preferred qualifications: Familiarity with ML pipelines and supporting feature stores or feature engineering workflows (Databricks). Prior mentoring or technical leadership experience. Qualifications Strong written and oral communication skills required Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred Master`s in same or related disciplines strongly preferred 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake. About Us Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://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/618516349053", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618516122357, "name": "Analyst, Data Science, Earnix Design", "posting_name": "Analyst, Data Science, Earnix Design", "location": "Seattle, Washington, United States", "locations": ["Seattle, Washington, United States", "Remote, Remote, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1774301940, "t_create": 1773409860, "ats_job_id": "74991", "display_job_id": "2026-74991", "type": "ATS", "id_locale": "2026-74991-en", "job_description": "Design best-in-class capabilities to support post-modeling activities, including calibration, dislocation, and filing. Build USDS pricing programs in Earnix. Design and implement other use cases of Earnix as a rating engine. Ensure accuracy of all pricing and non-pricing outputs from Earnix. Design and maintain rigorous data models for Earnix analytical projects and API. As required, troubleshoot and support post launch queries and issues. Improve and automate processes where applicable. Engage with the data science community and participates in cross-functional working groups. Working familiarity with GLMs and GBMs for predictive modeling. Love insurance rating programs and want to get a deeper understanding of how they work. Frequently bring voices together to find patterns in business problems. Are comfortable challenging the status quo to make systems simpler, more robust, and scalable. Enjoy documenting and sharing best practices to accelerate the whole team. Get excited by delivering business critical, production-ready products. Experience creating rating logic and implementing rating programs in tools like Earnix, Radar Live, etc. Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Foundational/intermediate knowledge of predictive toolset; expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Has a value-driven perspective with regard to understanding of work context and impact. Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and no professional experience, a Master`s degree (scientific field of study) and 2 to 3 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and 4+ years of relevant experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516122357", "isPrivate": false, "latlongs": "47.6061389,-122.3328481"}, {"id": 618516374358, "name": "Assistant Director, Data Products: Data Product Owner", "posting_name": "Assistant Director, Data Products: Data Product Owner", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Indianapolis, Indiana, United States", "Plano, Texas, United States", "Columbus, Ohio, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Product Management", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1774984020, "t_create": 1774559880, "ats_job_id": "75278", "display_job_id": "2026-75278", "type": "ATS", "id_locale": "2026-75278-en", "job_description": null, "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516374358", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618514988681, "name": "Enterprise Data Governance Leader", "posting_name": "Enterprise Data Governance Leader", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3042-Enterprise Transformation & Solutions-US", "t_update": 1774557540, "t_create": 1769007540, "ats_job_id": "74231", "display_job_id": "2026-74231", "type": "ATS", "id_locale": "2026-74231-en", "job_description": "Shape the vision: Bring a strong point of view on what effective data governance looks like, grounded in industry perspective, internal context, and practical tradeoffs. Champion the evolution and adoption of our Enterprise Data Governance Playbook, ensuring alignment with compliance, risk, and business objectives. Design our well-lit path: Define the future state where metadata and data quality are increasingly automated and AI-driven to enable trusted decisions from high-quality data products. Provide thought leadership on the path design and lead AI experimentation to prove what works. Drive execution: Run governance like a program, with defined workstreams, clear ownership, and success measures. Influence and align: Provide structure and clarity in moments of ambiguity, and help end circular debates by driving decisions to closure. Facilitate Data Governance leadership discussions, build alignment on key data policies, standards, and decision-making frameworks, and clear roadblocks by bringing facts, decisions, and recommendations to the right senior leaders. Connect the dots: Actively identify where business units are solving similar problems and facilitate targeted peer connections not more meetings, but real collaboration. Help us scale these connections by partnering with our training experts to elevate and drive adoption of our standards, platforms, and best practices. Communicate value: Ensure governance efforts are well understood, appropriately scoped, and connected to business impact. Explain the why behind governance requests, set expectations, and build enterprise-wide support by telling a compelling story. Director II, Data Management (STP) $163,500 - $201,500. Annual FTO days (Flexible Time Off): 20 Strong written and oral communication skills required BA/BS, or relevant work experience, in Computer Science or related field preferred MBA or advanced degree in Mathematics, Computer Science, Engineering, Economics, or other quantitative discipline strongly preferred Familiarity with Agile practices and leading delivery in an Agile environment. Familiarity with process management and operating model design a plus. Director I, Data Management (STP): 7-10+ years' experience leading data governance, stewardship, metadata, and data quality programs across complex domains. 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Independently works on prototyping/developing data solutions that meet the needs of the organization and business customers. Coding scalable proof-of-concepts and solutions. Stay up to date with advancements in data engineering, evaluate new tools and recommend adoption where appropriate. Identify opportunities to apply Gen AI for data discovery, lineage summarization, automated documentation, query generation and developer productivity (prompt engineering and code generation) Designs proof-of-concept solutions utilizing and 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. Strive to become a technical leader and mentor for the team, providing assistance & guidance to junior team members Optimize and tune data infrastructure for performance, scalability, reliability and cost-efficiency Prioritizes efforts based on customer value and can set expectations for deliverables of high complexity. Ensure data solutions include activities and deliverables required to achieve high data quality and displays a strong understanding of complex, multi-tier, multi-platform systems, applying principles of metadata, lineage, business definitions, compliance and data security to project work. Strong written and oral communication skills required Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred Master`s in same or related disciplines strongly preferred 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516417403", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618516363793, "name": "Domain Director: Data Products Tooling", "posting_name": "Domain Director: Data Products Tooling", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Columbus, Ohio, United States", "Plano, Texas, United States"], "hot": 0, "department": "Product Management", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1774992900, "t_create": 1774532220, "ats_job_id": "75266", "display_job_id": "2026-75266", "type": "ATS", "id_locale": "2026-75266-en", "job_description": "Establish the strategic roadmap for value-added features enabling data delivery. 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Present analytical content concisely and effectively to non-technical audiences and influence non-analytical business leaders to drive major strategic decisions basis analytical inputs Coordinate, prioritize and efficiently allocate team resources to critical initiatives: plan resources proactively, anticipate and actively manage change, set stakeholder expectations as required, identify operational risks and enable the team to drive issues to resolution, balance multiple priorities and minimize surprise escalations. Experience in Power BI and associated advanced tooling experiences such as Copilot and Fabric Experience with SAS and SAS Viya Experience with at least one of the Cloud technologies: AWS, Azure, Snowflake or GCP Experience with at least one of the programming languages: Java, Python and Scala Experience in communicating recommendations to senior business leaders highly preferred. 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Establishes and builds data systems including providing standards, policies, practice, procedures, governance and quality assurance for data deliverables. Design and develop low to moderately complex programs and tools to support ingestion, curation and provisioning of enterprise data to achieve analytics or reporting. Builds and designs data models and data architecture of low to moderate complexity that improve accessibility, efficiency, governance and quality of data. Make recommendations for how to improve data. Provides successful deployment and provisioning of data solutions to production or other required environments. Identify possible process improvements that address technology gaps within a single business process of moderate complexity. Design, develop, and maintain ETL/ELT pipelines using Snowflake and Informatica IDMC. Build and optimize data models, views, and tables for analytics and reporting. Write, review, and optimize SQL and Python for data processing and integrations. Manage data storage and movement using AWS (S3 and related services). Implement automated testing (unit, integration, regression) for pipelines and support test tooling. Improve CI/CD, deployment automation, orchestration (e.g., Control-M) and monitor data workflows. Troubleshoot data issues, perform RCA, and implement long-term fixes. Produce technical documentation, data lineage, and support data governance and quality initiatives. Participate in sprint planning, code reviews, and mentoring of junior engineers. Analyzes and prepare moderate to complex technology enabled recommendations to address gaps within a single business process. Bachelor's or Master's degree in a technical or business field, or equivalent experience. Generally 3 years of professional experience building data pipelines or data platforms. Hands-on experience with Snowflake and Informatica IDMC or similar ETL/ELT tools. Strong SQL skills and experience with Python. Practical experience with AWS data services (S3, Glue, etc.). Experience with automated testing, CI/CD, and data pipeline orchestration (e.g., Control\u2011M, Airflow). Experience working on Agile teams and collaborating with analytics/business stakeholders. Experience designing cloud or hybrid data architectures and data modeling for analytics. Background in data warehousing, reporting, or regulatory reporting (insurance domain helpful). Experience with mainframe data sources or legacy ingestion (a plus). Familiarity or interest in AI-assisted development tools and observability platforms. 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Able to depict and explain the importance of complex ideas, issues and designs to varied audiences; educate SBU/department(s) on business vision and plan and the impact of change. Able to influence a diverse group of stakeholders; strong leadership skills. Able to make difficult and quick decisions daily. Strong problem solver with demonstrated ability to lead a team to push the solutions and progress. Experience in the insurance industry preferred. Knowledge of relevant products and portfolio preferred. 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Minimum 8+ years in Cybersecurity with 3+ years focused on securing AI/ML systems or GenAI applications in production. CISSP certification required Demonstrated deep technical experience designing secure architectures for: ML pipelines and MLOps platforms (data ingestion, feature stores, training, model registry, deployment, monitoring). GenAI workloads (LLM APIs, fine-tuning, RAG, vector databases, agent frameworks). Cloud-native environments (containers/Kubernetes, serverless, service mesh, VPC/network security). Strong knowledge of AI-specific threats and mitigations: data poisoning, model inversion/membership inference, model theft/IP protection, adversarial examples, prompt injection/jailbreaks, exfiltration via outputs, and LLM supply chain risks. Practical familiarity with security frameworks and standards: NIST AI RMF, OWASP Top 10 (including LLM apps), MITRE ATT&CK and ATLAS, or similar. Hands-on experience implementing: Identity and access controls for AI services (service principals, fine-grained IAM, token and key management). Secrets management (Vault, KMS/Key Vault/Cloud KMS/HSM), encryption-in-transit/at-rest, data tokenization, DLP. Monitoring/logging for AI systems (model telemetry, prompt/response logging with privacy controls, drift/anomaly detection). Demonstrated ability to quickly learn and build expertise in diverse and emerging technologies and new architectural concepts and principles Strong influencing and consensus building skills, and the adaptability to respond to change quickly Strong communications skills, both written and verbal Ability to effectively collaborate with all levels of the organization with diverse backgrounds Strong desire to drive change, and ability to adapt to change quickly Excellent communication skills; ability to influence architecture and risk decisions across engineering, product, and executive stakeholders. 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!important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} .fa-brands{-webkit-font-smoothing: antialiased; font-style: normal; font-variant: normal; line-height: 1; text-rendering: auto;font-family: 'Font Awesome 6 Brands'} .position-details li{list-style-type: disc;} .header-wrapper{display:none!important;}.disability p {text-align:center!important;background-color:#F0F0F0!important; height:45px!important;padding-top:12px!important;} .disability a {color:blue!important;text-decoration:underline!important;} @media only screen and (max-width: 1325px){.disability p {height:67px!important;}} @media only screen and (max-width: 675px){.disability p {height:92px!important;}} @media only screen and (max-width: 480px){.disability p {height:114px!important;}}h4{margin-top: 5px;font-weight: 600;}