• Establish, implement, and continuously improve a data governance framework (policies, standards, roles, processes, decision rights) for program teams. • Define governance operating model components such as data ownership, stewardship, and domain/accountability structures. • Create and manage governance artifacts (e.g., glossary standards, naming conventions, documentation templates, lineage standards). • Lead program efforts to maintain and expand the Collibra data catalog, including onboarding new datasets, domains, and business terms. • Configure and promote use of Collibra capabilities such as business glossary, data dictionary/metadata, lineage, workflow, and certification/curation. • Develop documentation and enablement materials to drive consistent catalog usage by technical and non-technical users. • Partner with data owners and SMEs to enhance data dictionary, business definitions, and technical metadata. • Capture and maintain end-to-end data lineage across pipelines and systems to improve transparency, auditability, and trust. • Establish processes for metadata quality checks and periodic review/certification of critical data assets. • Design and develop conceptual, logical, and solution data models supporting operational systems and analytics platforms. • Translate business requirements into robust data structures, relationships, and workflows to support reporting, operational use, and analytics. • Analyze existing datasets and legacy schemas to guide data migration, rationalization, and application/service modernization efforts. • Collaborate with product owners, developers, DevSecOps engineers, business analysts, and data engineers to ensure governance is embedded in delivery. • Support solutioning efforts by aligning data modeling and governance practices to delivery roadmaps and release plans. • Communicate governance decisions, standards, and progress to stakeholders, including leadership audiences.

Program Description: NOTE: This is a short-term position with an expected duration of April 1, 2026 - September 30th, 2026. This program provides IT services focused on building, securing, and operating the Department of Veteran Affairs LGY’s home loan product-line technology. The contract’s purpose is to modernize and sustain critical home loan technology systems that support LGY’s delivery of mortgage-related services to program stakeholders, to provide continuous delivery and security integration. Position Description: We are seeking a Data Governance Lead to join an expanded analytics requirements, solutioning, and development team supporting VA. This role will serve as the program’s lead for data governance strategy and execution, with a specific focus on maintaining and expanding the Collibra data catalog, related documentation, and adoption of additional Collibra capabilities. You will establish and maintain a scalable data governance framework used by program teams, working closely with data owners and stewards across the organization to strengthen data definitions, data lineage, and data quality transparency, helping stakeholders trust and confidently use data. In addition, you will design and develop conceptual, logical, and solution data models to support modern operational and analytics systems, and guide data modernization by assessing legacy datasets and schemas.   Responsibilities: Data Governance Leadership & Framework - Establish, implement, and continuously improve a data governance framework (policies, standards, roles, processes, decision rights) for program teams. - Define governance operating model components such as data ownership, stewardship, and domain/accountability structures. - Create and manage governance artifacts (e.g., glossary standards, naming conventions, documentation templates, lineage standards). Collibra Administration & Adoption - Lead program efforts to maintain and expand the Collibra data catalog, including onboarding new datasets, domains, and business terms. - Configure and promote use of Collibra capabilities such as business glossary, data dictionary/metadata, lineage, workflow, and certification/curation. - Develop documentation and enablement materials to drive consistent catalog usage by technical and non-technical users. Metadata, Documentation, and Lineage - Partner with data owners and SMEs to enhance data dictionary, business definitions, and technical metadata. - Capture and maintain end-to-end data lineage across pipelines and systems to improve transparency, auditability, and trust. - Establish processes for metadata quality checks and periodic review/certification of critical data assets. Data Modeling & Modernization Support - Design and develop conceptual, logical, and solution data models supporting operational systems and analytics platforms. - Translate business requirements into robust data structures, relationships, and workflows to support reporting, operational use, and analytics. - Analyze existing datasets and legacy schemas to guide data migration, rationalization, and application/service modernization efforts. Cross-Functional Collaboration - Collaborate with product owners, developers, DevSecOps engineers, business analysts, and data engineers to ensure governance is embedded in delivery. - Support solutioning efforts by aligning data modeling and governance practices to delivery roadmaps and release plans. - Communicate governance decisions, standards, and progress to stakeholders, including leadership audiences.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Credit Risk Modeling Senior Analyst will play a key role in developing, enhancing, and maintaining quantitative credit risk models used for Current Expected Credit Losses (CECL), stress testing, and portfolio risk assessment. This role supports both commercial and retail lending portfolios and partners closely with Risk Management, Finance, and Data teams to ensure high quality, analytically sound estimates of expected and stressed credit losses. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. - Assist in the design, validation, and maintenance of models to support the Current Expected Credit Losses (CECL) framework, ensuring compliance with regulatory requirements - Assist in the design and execution of enterprise and regulatory stress testing methodologies (e.g., macroeconomic scenario expansion, loss forecasting, sensitivity analysis) - Support external and internal audit and model risk management inquiries for model related documentation - Conduct quantitative analysis as it applies to key business areas or specific types of models - Document models, assumptions, and methodologies in accordance with model governance and audit requirements - Effectively challenge the Bank’s models as requested, including conceptual soundness, assumptions, and appropriateness of model methodology - Collaborate with business groups to assist in developing effective modeling approaches to accurately represent the risks for practical business use - Identify and address potential process gaps or process improvements including data model requirement, structure and use, data governance, policy governance and other quantitative tools - Perform other assignments and special project analysis as requested by management Qualifications - Bachelor’s degree in Statistics, Applied Mathematics, Economics, Finance, Data Science, or a related quantitative discipline - 2+ years of hands-on experience developing, implementing, or validating credit risk models, including CECL, credit loss forecasting, regulatory stress testing, scorecard models, or early warning/behavioral risk models - 2+ years of programming experience using Python or SAS, with demonstrated ability to perform data manipulation, model development, model performance monitoring, and statistical analysis Requirements - Experience with CECL model development, implementation, or execution experience for Commercial Real Estate (CRE) and consumer lending portfolios - Proven solid knowledge of credit risk principles which inform credit loss forecasting - Ability to work in a fast-paced environment, manage competing priorities and to collaborate across the organization - Proven attention to detail and ensure data accuracy, reconciling and loading data - Ability to problem-solve effectively independently - Ability to communicate complex analytical issues in understandable terms appropriate for internal and external stakeholders Benefits - Comprehensive benefits package - Incentive and recognition programs - Equity stock purchase - 401k contribution (all benefits are subject to eligibility requirements)

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Under limited supervision, provides loss prevention consulting services within a specific Loss Prevention department, specialty area or for a broad range of products/services in all Loss Prevention operations. Conducts extensive research, data collection and evaluation and analysis in order to make recommendations to control customer's source of risk, loss and/or costs. This position may be filled at various levels depending on the candidate’s experience and qualifications. This is a fully remote role, and the Risk Control Consulting Center team will collaborate virtually across all locations. Liberty Mutual will provide a comprehensive four‑month onboarding and mentorship program designed to support your success in the role. During this period, you will receive in‑depth training on company policies, processes, and systems. Additionally, eligibility for Liberty Mutual–sponsored professional certifications is available to employees upon completion of one year of vested service. Responsibilities - Conducts extensive research and data collection to identify customer's source of risk, loss, and costs. - Compiles facts from virtual and various reports and databases to assess existing processes/practices, determine severity/frequency of problems, and identify needs. - Assesses and benchmarks customers' performance against internal and industry standards. - Interprets and analyzes data to determine best course of action and/or solution that satisfies customer's risk services needs. - Utilizes advanced software applications to find innovative and cost-effective solutions to customers' risk services needs. - Conducts cost-benefit analysis to determine how and when a recommended improvement at customer's facility/operation will pay off. - Investigates cause and effect relationships. - Prepares technical reports which evaluate data. - Organizes data into a format which can easily be presented to customer. - Prepares and presents reports outlining action plans for improved practices and/or changing workforce cultures/behaviors. - Maintains effective partnerships with customers. - Learns about customer's business to identify risk management objectives and needs. - Ensures accurate and concise communication and mutual understanding with customers. - Keeps customers informed of status of services, support material available, and outside resources relevant to identify customers' safety concerns. - Participates in training and development of customers. - Oversees implementation of program(s). - Provides technical support to assist with implementation of recommendations/actions plans. - Counsels customers regarding technical issues. - Actively pursues professional development efforts to better meet customer expectations. - May actively participate in acquiring new business by following up on leads and presenting proposals to potential customers. - Serves as a technical expert in a specific specialty area. Qualifications - Strong communication and listening skills to develop and maintain relationships with customers. - Proven ability in advanced level research, evaluation, and analysis functions. - Proven ability to deal with all levels of an organization. - Effective leadership qualities. - Maintains advanced level of understanding of loss prevention products, services, and operations within realm of responsibility. - Successful demonstration of technical skills in areas of risk assessment, risk analysis, solutions management, and progress measurement. - Bachelor's degree or equivalent with coursework in mathematics and engineering or related area, plus a minimum of 3 years of directly related consulting experience. - Previous experience applicable to loss prevention may be substituted for lack of formal education or advanced degree may be substituted for 2 years of experience. - Master’s degree, designation(s), or certification(s) preferred. Benefits To learn more about our benefit offerings please visit: https://LMI.co/Benefits Company Description 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.