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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Apply knowledge of sophisticated analytics techniques to manipulate large structured and unstructured datasets in order to generate insights to inform business decisions. Identify and tests hypotheses as part of building and developing predictive and generative models for business applications. Translate quantitative analyses and results into accessible visuals and high-level presentations for non-technical audiences to help stakeholders interpret the data. Enable the business to make trade-offs among choices, with a reasonable view into likely outcomes. Customize machine learning solutions to specific client needs. Develop solutions to loosely defined problems with guidance from teammates as you iterate on approaches. Regularly engage with the data science community and participate in cross-functional working groups. Assistant Director: $149,000 - $197,500. Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Advance 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. Analyst II: Competencies typically acquired through 0-1 yrs. of related experience with a Ph.D., a minimum of 2-3 yrs. of experience with a master's degree, a minimum of 4+ yrs. of experience with a bachelor's degree. Assistant Director: 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. Breadth of knowledge with feature engineering, traditional machine learning, deep learning, and generative AI. Familiarity with common machine learning frameworks (e.g. scikit-learn, PyTorch, Hugging Face, etc.). Highly skilled in at least one data science discipline (e.g. computer vision, NLP, etc.). Curiosity, ability to learn quickly, and a problem solving mindset. Demonstrated ability to collaborate with cross-functional teams, interact with business stakeholders to understand the business problem, and explain complex concepts clearly and concisely. Knowledge or experience with integrating multiple modalities (e.g., vision, language, audio) for advanced AI solutions. Understanding of DevOps principles and MLOps practices to ensure smooth model deployment, monitoring, and continuous improvement. Experience contributing to open-source data science and machine learning projects.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503019853", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618504676189, "name": "Principal Data Solutions Analyst, Operational Data & Reporting", "location": "Seattle, Washington, United States", "locations": ["Seattle, Washington, United States", "Remote, Remote, 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": 1748533200, "t_create": 1748450400, "ats_job_id": "70431", "display_job_id": "2025-70431", "type": "ATS", "id_locale": "2025-70431-en", "job_description": "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. Description About the Team USRM Data Office Level of position offered will be based on skills and experience at manager discretion. Ensuring that data is a competitive differentiator for our enterprise, the USRM Data Office sets strategic data product visions, governs data for quality and compliance, develops best in class data and reporting solutions, and continuously seeks to optimize the value that data creates for our customers and company. Our team includes data analysts, data stewards, data strategists, and data product owners performance-driven individuals who make sure that data is appropriately leveraged across every layer of our business. Join USRM Data Office's Operational Data and Reporting Team as a Principal Data Solutions Analyst! In this dynamic business intelligence role, you'll play a critical part in supporting the Claims organization, working across multiple lines of business including Property, Quality, SIU, and xLOB. You will leverage the latest business intelligence platforms to build impactful reports that enhance data accessibility and transparency for our stakeholders. You will also collaborate with various teams to create innovative data solutions, driving transformation and redefining the future of data and reporting at Liberty Mutual. Develop and maintain robust business intelligence solutions to meet the needs of our business partners, ensuring scalability and adaptability for future growth. Work independently on or lead highly complex projects, developing sophisticated solutions that address organizational and customer needs. Design and develop reporting solutions that enable effective self-service capabilities, clearly demonstrating their value to stakeholders. Design proof-of-concept reporting solutions using an advanced understanding of multiple coding languages, ensuring that technical and business requirements are met through iterative solution testing. Serve as a technical leader and mentor within the team, offering assistance and guidance to junior team members in developing reporting skills. Influence strategic thinking within the team and across the broader organization by identifying and applying best practices. Prioritize initiatives based on customer value, managing expectations for deliverables of high complexity and impact. Assist in creating roadmaps for reporting solutions, transforming vague ideas or challenges into actionable projects. 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 5-7 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in SQL implementation, ETL, scripting languages (Python) 5-7 years experience as developer with top quadrant Business Intelligence tools About Us 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 proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage. 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/618504676189", "isPrivate": false, "latlongs": "47.6061389,-122.3328481"}, {"id": 618503545761, "name": "Senior or Principal Data Solutions Analyst, Operational Data & Reporting", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States"], "hot": 0, "department": "Analytics", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1748536680, "t_create": 1744389720, "ats_job_id": "69726", "display_job_id": "2025-69726", "type": "ATS", "id_locale": "2025-69726-en", "job_description": "Provides, builds and maintains data solutions to meet the needs of our business partners and ensures these solutions can be scaled appropriately. Independently works on highly complex assignments and prototyping/developing data solutions that meet the needs of the organization and business customers. Coding scalable proof-of-concepts and solutions. 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. Acts as a technical leader and mentor for the team, providing assistance & guidance to lower-level team members Design and develops data solutions that enable effective self-service data consumption and can describe their value to the customer. Influences strategic thinking across the team and the broader organization Identifies and utilizes best practices and iterative testing to ensure requirements are met. Prioritizes efforts based on customer value and can set expectations for deliverables of high complexity. Able to lead projects and collaborate with stakeholders to ensure effective project execution. Assist in the creation of roadmaps for data solutions and turn vague ideas or problems into a data product. 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. Create ad-hoc reporting on Adobe analytics Build ETL pipelines using SQL, SAS 5+ years coding experience specifically with SQL and Python 5+ years application experience with Power BI and SAS 5+ years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in ETL, scripting languages (Python, Perl, Shell) 5+ years experience as developer with top quadrant Business Intelligence tools 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 ETL, Java, scripting languages (Python, Perl, Shell)", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503545761", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618504719907, "name": "Sr Data Solutions Analyst", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1748625300, "t_create": 1748625240, "ats_job_id": "70468", "display_job_id": "2025-70468", "type": "ATS", "id_locale": "2025-70468-en", "job_description": "Support Data Engineering initiatives, including the development of \"Data Lake\" architecture. Apply all Phases of Software Development Life Cycle (Analysis, Design, Development, Testing and Maintenance) using Waterfall and Agile methodologies. Develop, tune and optimize the HQL queries. Develop Data Frame and RDD (Resilient Distributed Datasets) to achieve unified transformations on the data load. Develop scheduling and monitoring Oozie workflows for parallel execution of jobs. Manage the source code in GitHub. Build distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time. Apply strong Data Governance principles, standards, and frameworks to promote data consistency and quality while effectively managing and protecting the integrity of corporate data. Design and develop data solutions that enables effective self-service data consumption and can describe their value to the customer. Assist stakeholders in defining metrics that are impactful to the business. Working with IT, assist in building robust systems focusing on long-term and ongoing maintenance and support. Works with IT to help scale prototypes. Design proof-of-concept prototypes/develops data solutions of high complexity to meet the needs of the organization and business customers, under limited direction. Handle end to end project management of data solutions. Telecommuting permitted up to 100%. Employer will accept a Bachelor's degree (or foreign equivalent) in Electronics Engineering, Analytics, Database management, Report Development, Computer Science or related field and 5 years of experience in the job offered or in a Sr Data Solutions Analyst-related occupation. Understanding Agile Techniques. Experience in coding for data management, data warehousing, or other data environments using tools such as SAS, SQL, Teradata, Linux, Snowflake, AWS, or Python/SQL programming. Develop data solutions of high complexity under limited direction using one or more reporting tools such as Power BI, Tableau, Qlik Sense, MicroStrategy or Excel. Project Management. Travel required up to 10%. Telecommuting permitted up to 100%.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504719907", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618504429356, "name": "Senior Data Solutions Analyst", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "Remote, Remote, United States"], "hot": 0, "department": "Analytics", "business_unit": "0116-GRS-Actuarial-US", "t_update": 1747948860, "t_create": 1746737520, "ats_job_id": "70154", "display_job_id": "2025-70154", "type": "ATS", "id_locale": "2025-70154-en", "job_description": "Provides, builds, and maintains data solutions to meet the needs of our GRS NA Actuary and Analyst Partners. Provides guidance and assistance to lower level associates and other functional areas. Under limited direction, 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 guide and mentor for lower level associates. Designs and develops data solutions that enables effective self-service data consumption, and can describe their value to the customer. Assists stakeholders in defining metrics that are impactful to the business. Prioritize efforts based on customer value. Has a strong understanding of Agile techniques. Can set expectations for deliverables of high complexity. Works with IT to help scale prototypes. Maintains proof-of-concepts and prototype data solutions, and handles any assessment of their viability and scalability, with own team or in partnership with IT. 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. Display a basic understanding of complex multi-tier, multi-platform systems, and applies principles of metadata, lineage, business definitions, compliance, and data security to project work. Has a strong understanding of Business Intelligence tools, including visualization and user experience techniques. Can set expectations for deliverables of high complexity. Works with IT to help scale prototypes. Demonstrates an understanding of new technologies as needed to progress initiatives. 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504429356", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618504307104, "name": "Sr Data Solutions Analyst", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Finance & Accounting", "business_unit": "0022-Corporate Finance-US", "t_update": 1746743100, "t_create": 1746199260, "ats_job_id": "70059", "display_job_id": "2025-70059", "type": "ATS", "id_locale": "2025-70059-en", "job_description": "Working with the Business, IT and Corporate Finance, this person will help shepherd data through our strategic data platform. Under limited direction, 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 financial insurance knowledge and multiple coding languages to meet technical and business requirements. Ability to perform iterative solution testing to ensure specifications are met. Outstanding organizational skills and ability to manage multiple priorities while maintaining attention to detail and ensuring tasks are completed accurately and timely. Designs and develops data solutions that enables effective self-service data consumption, and can describe their value to the customer. Assists stakeholders in defining metrics that are impactful to the business. Prioritize efforts based on customer value. Has a strong understanding of Agile techniques and demonstrated experience in fostering cross-functional collaboration between business and technology teams. Works with IT to help scale prototypes. Maintains proof-of-concepts and prototype data solutions, and handles any assessment of their viability and scalability, with own team or in partnership with IT. 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. Display a basic understanding of complex multi-tier, multi-platform systems, and applies principles of metadata, lineage, data dependencies and hierarchy, business definitions, compliance, and data security to project work. Has a strong understanding of Business Intelligence tools, including visualization and user experience techniques. Ability to create visual tools to display complex processes or concepts (Lucid or Mural experience a plus) Bachelor`s Degree in Math, Business, Computer Science, Computer Engineering, or related discipline preferred 3-5 years experience in coding for data management, data warehousing, or other data environments. 3-5 years of experience in accounting, finance or data analysis is preferred Insurance experience required Strong written and oral communication skills required Jira experience strongly preferred", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504307104", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618503865170, "name": "Assistant Director, Data Solutions - 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": 1746633360, "t_create": 1745419200, "ats_job_id": "69934", "display_job_id": "2025-69934", "type": "ATS", "id_locale": "2025-69934-en", "job_description": "Help support LMI's enterprise data strategy, with a focus on driving business value, operational efficiency, and insight generation across the investment lifecycle. Own and evolve a portion of the data strategy roadmap?focused on moderate-to-high complexity areas?by identifying emerging needs, aligning with core capabilities, and adapting the roadmap as priorities shift. Collaborate across Data, Product, and Technology teams to support coordinated execution and ensure solutions remain aligned to the strategic roadmap. Translate complex business and investment requirements into clearly defined data strategies, use cases, and framing documents that drive decision-making and execution. Monitor best-in-class firms and emerging industry trends in asset management data strategy. Curate and socialize learnings with internal teams to influence roadmap direction and inspire new use cases. Act as a compelling storyteller, capable of synthesizing strategic insights and value narratives to gain stakeholder support and shape executive-level decision-making. Develop business cases and ROI models that articulate the value of data investments. Define impact metrics that demonstrate effectiveness and align with enterprise goals. Influence the sequencing and prioritization of data use cases, identifying cross-cutting themes and ensuring strategic, efficient capability build-out. 7-10 years of experience in data strategy, investment operations, analytics, or a related role within asset management, financial services, or insurance. Strong understanding of investment data domains, including portfolio holdings, transactions, classifications, and analytics. Demonstrated ability to translate business needs into data strategy and influence stakeholders across a matrixed organization. Familiarity with enterprise data platforms and tools (e.g., Snowflake, Power BI) and foundational knowledge of data governance or architecture. Excellent communication and storytelling skills, with the ability to synthesize complex ideas into actionable plans for both technical and business audiences. Strong analytical and strategic thinking skills; ability to identify patterns and opportunities across multiple domains and align them with organizational goals. Experience working in Agile environments and cross-functional teams", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503865170", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"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": 1744037640, "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": 618502755455, "name": "Principal SAS Data Engineer", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States", "Indianapolis, Indiana, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1743429120, "t_create": 1741101960, "ats_job_id": "69063", "display_job_id": "2025-69063", "type": "ATS", "id_locale": "2025-69063-en", "job_description": "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. Description We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance. This role has a hybrid work schedule (2 days onsite) and we are considering candidates based in Portsmouth, NH, Boston, MA, Plano, TX, Indianapolis, IN and Columbus, OH. Job introduction: The EDATA (Enterprise Data & Analytics Technology) organization is actively searching for a highly productive Principal SAS Data Engineer of a distributed, dynamic agile team to serve as a technical expert in analysis, design, coding and testing of our SAS analytic solutions. Under general direction, acts as a technical expert who consults on highly complex projects. Responsible for the analysis, development and execution of complex data solutions, in order to manage the information lifecycle needs of an organization. Collects, integrates and analyzes organizational data with the purpose of drawing conclusions about that information. Develops, constructs, tests and maintains data architectures for data platforms, databases, analytical/reporting, or data science systems. Establishes and builds data systems including providing standards, policies, best practices, procedures, governance and quality assurance for data analytics deliverables. Recommends methods to improve data reliability, quality, and efficiency. Devises or modifies procedures to solve technical problems. Leads and directs the work of team members. May mentor junior team members. About the job: Enhance and strengthen the support model and triaging capabilities in collaboration with our offshore support partners. Act as a thought leader by establishing standards, guardrails, and best practices for SAS analytics tooling, and drive governance and compliance. Leverage observability, data, and platform costs to identify and recommend opportunities for improvement, addressing complex technology gaps within business processes. Collaborate with the Data Office and stakeholders to analyze workloads and recommend strategies for improving efficiency, while actively driving the implementation of those recommendations. Document existing processes, organizational structures, architectures, and external systems for clarity and knowledge sharing. Contribute to the development and enhancement of solutions, ensuring alignment with business needs. Support engineers during implementation, including cutover plans, post-implementation support, issue resolution, transition planning, and knowledge sharing. Communicate effectively and gather feedback from stakeholders to ensure alignment and support. Proactively identify potential impacts on business strategy, driving vision and cross-functional collaboration to achieve strategic objectives. Qualifications Bachelor or Master`s degree in technical or business discipline or equivalent experience, technical degree preferred. Minimum 8+ years of Data Engineering experience. In-depth knowledge of IT concepts, strategies, and methodologies. Possess extensive experience in building, designing, troubleshooting, and coding SAS processes/workloads, with deep user-level knowledge of SAS. Familiarity with diverse and emerging technologies, as well as new architectural concepts and principles. Knowledgeable in data engineering languages and tools; proficient in new and emerging technologies. Proficient in data engineering languages and tools, including Python, SAS, R, SQL, and DB warehouse technologies; knowledgeable in new and emerging technologies. Understanding of code management practices and monitoring tools, along with GitHub. Strong understanding of layered solutions and designs; comprehensive understanding of shared data engineering concepts, product features, and security considerations. Strong understanding of layered solutions and designs; comprehensive understanding of shared data engineering concepts, product features, and security considerations. Highly developed negotiation, consensus building & influencing skills, facilitation, and the adaptability to respond to change quickly. Exceptional oral and written communication skills; strong presentation capabilities. Proven ability to effectively collaborate with all levels of the organization. About Us 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 proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage. 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. 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