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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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": 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": 1749590160, "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, Snowflake, 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": 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": 618504717512, "name": "Principal Data Solutions Analyst", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Analytics", "business_unit": "0116-GRS-Actuarial-US", "t_update": 1749497340, "t_create": 1748613780, "ats_job_id": "70464", "display_job_id": "2025-70464", "type": "ATS", "id_locale": "2025-70464-en", "job_description": "Provides, builds, and maintains data solutions to meet the needs of the enterprise. Provides technical advice to lower level associates and other functional areas. Under minimal direction, prototypes/develops data solutions of high complexity to meet the needs of the organization and business customers. Designs proof-of-concept solutions utilizing a comprehensive understanding of multiple coding languages to meet technical and business requirements, with an ability to perform iterative solution testing to ensure specifications are met. Acts as a technical leader and mentor to lower level associates. Designs and develops data solutions that enables effective self-service data consumption, and can describe their value to the customer. Works with stakeholders in defining metrics that are impactful to the business. Prioritizes efforts based on customer value. Has a comprehensive understanding of Agile techniques. Can set expectations for deliverables of high complexity. 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. Displays a working 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 comprehensive 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 a strong 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 5-7 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in SQL, Python, AWS ecosystem (S3, Redshift, etc.), Snowflake, SAS, Github. 5-7 years experience as developer with top quadrant Business Intelligence tools", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504717512", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618503864757, "name": "Data Engineer", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Seattle, Washington, 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": 1749497220, "t_create": 1745415360, "ats_job_id": "69932", "display_job_id": "2025-69932", "type": "ATS", "id_locale": "2025-69932-en", "job_description": "Work as ONE team committed to excellence 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 secured data-driven solutions with our Platform team that meet business and technical initiatives Analyze, develop and execute data access patterns; to secure Liberty's data at the same time get data access user needs to make timely decision. Participates in peer development and code reviews within each Agile sprint, with focus on test driven development and Continuous Integration and Continuous Development (CICD). Analyze Snowflake metadata (Information schema) tables to understand the access pattern and create report. Design and build data access provisioning platform with API microservices and react Portal Design and develop programs and tools to support access provisioning, data security, data discovery and threat modeling. Bachelor's degree in technical or business discipline or equivalent experience, technical degree preferred. Generally, 3+ years of professional access management experience. Proficient in data access patterns and tools, and good proficiency in general programming languages and frameworks. Good understanding of agile and processes, such as CICD, pipelines, and iterative development and deployments Demonstratable experience in delivering solutions in Snowflake access management, BigID (Data Discovery). Experience in Java Spring boot (Microservice), JavaScript, React (UX) and SQL Must be proactive and self-driven, demonstrate initiative and be a logical thinker. Strong communication, collaboration skills with a track record of taking ownership of the Task. Knowledge in the following areas will be Plus: personal P&C insurance, general IT concepts, strategies and methodologies, knowledge of data security principles and concepts, understanding of access patterns and threat models.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503864757", "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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Enable business and IT vision to span all data platforms (relational, NoSQL) and data tools (Data Visualization, Data Catalog, Data Virtualization and Advanced Analytics/Data Science) What you will need: Bachelor's degree in computer science, Engineering, or a related field 10 or more years and multiple implementations of hands-on big data, data warehouse and/or analytics data engineering experience using RDBMS and NoSQL data platform technologies, ETL, and Data ingestion protocols. Extensive knowledge of contemporary data warehousing, lake house, and lake techniques, ETL/ELT tooling, and methods Demonstrated ability to adapt to evolving technologies and industry trends such as Generative AI, ML and real-time analytics. Extremely strong communication skills, written, verbal, and through visual presentations with the ability to explain and document complex initiatives and architectures for understanding by technical and non-technical audiences. Experience with delivering executive presentations and materials. A history of leadership building sustainable patterns and standards A comprehensive understanding of agile environments Experience working with cloud platforms (AWS) and relevant services (e.g., Lambda, s3, Athena, Aurora) Experience using job orchestration tools (e.g., Airflow, Control-M, CA ESP, Stonebranch, Snowflake tasks) Experience developing or architecting performant, cost efficient, and scalable data products and solutions. Expertise in a wide variety of database technologies, preferably Snowflake Experience with the Guidewire Insurance Suite Experience with streaming/event-based data services and tools (e.g., Kafka) Experience modeling and maintaining Data Vault 2.0 models. 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ease-in-out;transition:background-color 0.4s ease-in-out, color 0.4s ease-in-out, border-color 0.8s ease-in-out;} #top .av-main-nav ul a{width:100%;height:auto;float:left;text-align:left;line-height:23px;padding:8px 15px;font-size:12px;min-height:23px;max-width:none;text-decoration:none;font-family:inherit;} #top .av-main-nav ul ul{left:-207px;top:0px;margin:0;border-top-style:solid;border-top-width:1px;padding-top:0px;} .av-main-nav li:hover ul ul{display:none;} #top .av-main-nav li:hover > ul{display:block;} .avia-menu-fx{position:absolute;bottom:-1px;height:2px;z-index:10;width:100%;left:0;opacity:0;visibility:hidden;} .av-main-nav li:hover .avia-menu-fx,.current-menu-item > a > .avia-menu-fx{opacity:1;visibility:visible;} .avia-menu-fx .avia-arrow-wrap{height:10px;width:10px;position:absolute;top:-10px;left:50%;margin-left:-5px;overflow:hidden;display:none;visibility:hidden;} 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only screen and (min-width: 768px) and (max-width: 989px){.responsive .main_menu ul:first-child > li > a{padding:0 10px;} .responsive .logo{float:left;} .responsive .logo img{margin:0;} .responsive .av_mobile_menu_tablet .main_menu .avia-menu{display:none;} } @media only screen and (max-width: 767px){.responsive #header_main .inner-container,.responsive .main_menu{position:static;} .responsive #top .logo{position:static;display:table;height:80px!important;float:none;padding:0;border:none;width:80%;} .responsive .logo a{display:table-cell;vertical-align:middle;} .responsive .logo img{height:auto!important;width:auto;max-width:100%;display:block;max-height:80px;} .responsive #header_main .container{height:auto!important;} .responsive .logo img{margin:0;} } #advanced_menu_toggle{position:absolute;border-radius:2px;height:46px;width:46px;line-height:46px;text-decoration:none;text-align:center;right:0;top:50%;margin-top:-23px;z-index:10000;border-style:solid;border-width:1px;font-size:30px;display:none;} @media only screen and (max-width: 989px){.responsive.html_mobile_menu_tablet .main_menu .avia-menu{display:none;} .responsive.html_mobile_menu_tablet .container #advanced_menu_toggle{display:block;} } @media only screen and (max-width: 767px){.main_menu .avia-menu{display:none;} .container #advanced_menu_toggle{display:none;} } } @media print{a,strong{color:black!important;} a{text-decoration:underline;} .container{width:100%;} .container{width:100%;margin:0 auto;} #header_main{border-bottom:0;} nav{display:none;} } @media all{::selection{background-color:#002663;color:#ffffff;} .header_color div,.header_color nav,.header_color span,.header_color a,.header_color img,.header_color strong,.header_color ul,.header_color li{border-color:#1a1346;} .header_color a,.header_color strong,.header_color strong a{color:#1a1346;} .header_color a:hover{color:#1a1346;} .header_color .avia-menu-fx,.header_color .avia-menu-fx .avia-arrow{background-color:#1a1346;color:#ffffff;border-color:#080124;} .header_color .avia-bullet{border-color:#1a1346;} .html_header_top .header_color .main_menu ul:first-child >li > ul{border-top-color:#1a1346;} .header_color .main_menu ul ul,.header_color .main_menu .menu ul li a{background-color:#fecf00;color:#1a1346;} .header_color .main_menu .menu ul li a:hover{background-color:#fecf00;} .header_color .main_menu ul:first-child > li > a{color:#1a1346;} #top .header_color .main_menu .menu ul li>a:hover{color:#1a1346;} .header_color .main_menu ul:first-child > li a:hover,.header_color .main_menu ul:first-child > li.current-menu-item > a,.header_color .main_menu ul:first-child > li.current_page_item > a{color:#1a1346;} #advanced_menu_toggle{background-color:#fecf00;color:#1a1346;border-color:#1a1346;} .avia_desktop #advanced_menu_toggle:hover{background-color:#1a1346;color:#ffffff;border-color:#1a1346;} .header_color .avia-arrow{background-color:#fecf00;} .header_color .avia-bullet{border-color:#1a1346;} #top .header_color a:hover .avia-bullet{border-color:#1a1346;} .container{width:100%;} .responsive .container{max-width:1260px;} #top #header .av-main-nav > li > a{font-size:14px;} } @media all{.WCAG-2-A{display:none!important;} @media (max-width: 767px){::-webkit-scrollbar{-webkit-appearance:none;} ::-webkit-scrollbar-thumb{background-color:rgba(0, 0, 0, .5);border-radius:10px;} ::-webkit-scrollbar-track{border-radius:10px;background-color:#ffffff;} } } @media all{*:focus{outline:1px dotted #808080!important;outline-offset:-2px!important;} .header_color .main_menu ul:first-child>li>a{color:#1a1446;font-family:'roboto-bold';font-size:16px!important;} .html_main_nav_header.html_logo_left #top 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(max-width:989px){#advanced_menu_toggle[data-av_icon]:before{font-size:30px;font-weight:normal;font-family:'FontAwesome'!important;} #advanced_menu_toggle{border-width:0px;} .container{padding:0 30px;} .responsive .logo{padding-top:10px;} } .main_menu .current_page_item a .avia-menu-text{border-bottom:0!important;} @media screen and (max-width:767px){.rem-arrow a:before{content:' '!important;} .responsive #top #wrap_all .container{width:92%;max-width:92%;} #advanced_menu_toggle{left:0;right:auto;border-width:0px;} .responsive #top .logo{margin:0 auto;width:150px;} .responsive .logo img{max-height:40px;margin:0 auto!important;} #header_main{border-top:0;} } @media screen and (min-width:1024px){li#menu-item-13649 ul.sub-menu{left:207px!important;} li#menu-item-13649.dropdown_ul_available>a::after{font-family:FontAwesome;position:absolute;left:auto;margin:0 5px;font-size:10px;} } #top a:focus{outline-offset:-2px!important;opacity:1!important;} .inner-container a:focus{outline-offset:-5px!important;} @media screen and (min-width:768px) and (max-width:1024px){.header_color .main_menu ul:first-child>li>a{font-size:12px!important;} } #top .main_menu .av-main-nav ul ul{border:0!important;padding-top:0px;position:static;display:block!important;border-bottom:1px solid #000!important;overflow:hidden;background-color:transparent!important;} #top .main_menu .av-main-nav ul ul li a{padding-left:35px;font-size:12px!important;padding-top:5px;padding-bottom:5px;background-color:rgba(255, 255, 255, 0.7)!important;} #top .main_menu .av-main-nav ul ul li a:hover{background-color:rgba(232, 232, 232, 0.7)!important;} .av-main-nav ul li:last-child>a{border:none!important;} #top .main_menu .av-main-nav ul ul{border-bottom:0px solid #000!important;} } .navbar{display: none!important;} .logo{padding-right:60px!important;} #menu-item-973:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-11981:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-1136:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-1435:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-3937:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-12966:hover{background-color:rgba(255, 255, 255, 0.8) !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;}