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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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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517731358", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618518417374, "name": "Assistant Director, Data Science", "posting_name": "Assistant Director, Data Science", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Analytics", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1783969860, "t_create": 1783969860, "ats_job_id": "76811", "display_job_id": "2026-76811", "type": "ATS", "id_locale": "2026-76811-en", "job_description": "Build out team's geospatial big data infrastructure using geospatial data science techniques & software such as Snowflake, dbt, and Python. Build geographic risk segmentation models using geographic data science modeling techniques. Apply insurance knowledge to conduct multiple forms of statistical analyses, such as building loss cost models and creating geographic loss data. Apply spatial data techniques to create usable outputs from geographic risk segmentation models at multiple geographic granularities. Enable the business to make clear tradeoffs between and among choices, with a reasonable view of the likely outcomes. Responsible for larger components of projects of moderate to high complexity. Guide aspects of project design as a technical consultant for the team. Employer will accept a Ph.D. degree in Statistics, Mathematics, Economics, Actuarial Science, or other scientific field and two (2) years of experience in the job offered or in an Assistant Director, Data Science -related occupation. Alternatively, employer will accept a Master's degree in Statistics, Mathematics, Economics, Actuarial Science, or other scientific field and four (4) years of experience in the job offered or in an Assistant Director, Data Science -related occupation or Bachelor's degree in Statistics, Mathematics, Economics, Actuarial Science, or other scientific field and five (5) years of experience in the job offered or in an Assistant Director, Data Science -related occupation Geospatial data science methodologies and applications including geospatial big data management and spatial statistics. Property & Casualty insurance data science techniques including working with exposure, loss, and premium data. Statistical modeling methodologies and applications including Generalized Linear Models (GLMs) and Gradient Boosting Machines (GBMs). Insurance predictive modeling experience in third-party software including Emblem and Earnix. Python data science libraries including pandas, geopandas, and numpy. SQL based data management, including Snowflake and dbt. Data analytics and interpretation through exploratory data analysis and spatial data analysis techniques. Utilizing AWS cloud services including EC2 and S3. Demonstrated understanding of MLOps standards including unit testing and virtual environments. Experience may be gained during graduate program.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618518417374", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618518070296, "name": "Director I, Data Science Product Management", "posting_name": "Director I, Data Science Product Management", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Product Management", "business_unit": "0027-LM Technology-US", "t_update": 1782841500, "t_create": 1782490980, "ats_job_id": "76642", "display_job_id": "2026-76642", "type": "ATS", "id_locale": "2026-76642-en", "job_description": "Develop and drive product vision, roadmap, and prioritization for a portfolio of data science enablement capabilities. Develop business value estimates and success measures to inform prioritization and evaluate outcomes. Represent the voice of the customer and incorporate stakeholder feedback into product decisions. Partner with Data Scientists, Data Engineers, Software Engineers, and Architects to support the development, deployment, monitoring, and adoption of machine learning and AI solutions. Explore and evaluate technical solutions that improve model development, deployment, operational efficiency, and user experience. Drive the development and adoption of reusable patterns and platform capabilities that enable teams to more effectively deliver data science solutions. Partner with cross-functional teams to identify and prioritize technical debt reduction, DevOps, and MLOps improvements. Serve as Product Owner for assigned capabilities, developing, maintaining, and prioritizing product backlogs aligned to roadmap objectives and customer needs. Partner with delivery teams to support effective planning, execution, and delivery using Agile practices. Lead discussions, planning sessions, and stakeholder engagements for complex initiatives. Communicate product plans, priorities, recommendations, and outcomes to stakeholders and leadership. Asst Director, Data Science Product Management- Bachelor`s degree in quantitative field with 5 to 7 years of related experience within insurance, actuarial, data science or technology product management. Master`s degree preferred. ACAS helpful. Dir I, Data Science Product Management- Bachelor`s degree in quantitative field with 7+ years, typically 10 or more years, of related experience within insurance, actuarial, data science or technology product management preferred. FCAS / ACAS preferred Master`s degree preferred Strong understanding of data science concepts, machine learning workflows, experimentation practices, and model lifecycle management. Demonstrated understanding of the end-to-end data science lifecycle, including model development, deployment, monitoring, and business value realization. Experience working directly with Data Scientists and partnering with Engineering and Architecture teams to deliver technical capabilities and business outcomes. Familiarity with model deployment, monitoring, experimentation, DevOps, and MLOps practices. Familiarity with modern data, analytics, and AI technologies (AWS, Azure, Databricks, etc.). Experience supporting enterprise AI/ML platforms, data science enablement capabilities, or model operationalization efforts. Demonstrated ability to evaluate technical solutions and translate complex data science, AI, and engineering concepts into actionable product decisions and business outcomes. Experience working effectively in large, complex, and highly matrixed organizations. Strong communication, stakeholder management, influence, and organizational leadership skills.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618518070296", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618517849334, "name": "Director I, Data Science, People, Purpose & Brand", "posting_name": "Director I, Data Science, People, Purpose & Brand", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "0021-People, Purpose & Brand-US", "t_update": 1783012680, "t_create": 1782149460, "ats_job_id": "76495", "display_job_id": "2026-76495", "type": "ATS", "id_locale": "2026-76495-en", "job_description": "GenAI Enablement: Design, build, and maintain evaluation frameworks and pipelines that accelerate the creation, iteration, and safe expansion of GenAI capabilities, including agentic workflows, data readiness, and post-deployment monitoring. Vendor & AI/ML Risk Management: Define and execute a vendor-AI evaluation vision enabling repeatable vendor selection, value validation, quality monitoring, and responsible model risk management. Broader Data Science: Support classic ML, automation, and technical consulting to empower PP&B colleagues and drive enterprise-wide outcomes. Architect, develop, and maintain tooling and pipelines to support GenAI model development, evaluation, deployment, and monitoring across PP&B programs. Design and operationalize scalable evaluation frameworks and metrics for GenAI systems (including automated and human-in-the-loop evaluations) to ensure quality, safety, and organizational alignment. Lead the vendor AI evaluation program: define criteria, run benchmarks and pilots, synthesize results, and provide clear recommendations for vendor selection and integration. Build reusable components leveraging APIs and templates that enable rapid iteration and reliable deployment of GenAI features. Partner with stakeholders across PP&B to translate business needs into technical designs, evaluation plans, and implementation roadmaps. Promote strong engineering hygiene across projects (CI/CD, version control, testing, documentation, reproducible pipelines). Provide informal mentorship for data science and analytics colleagues on tools and evaluation processes. Strong foundation in Data Science principles (Probability, Statistics, AI/ML). Experience with LLMs, embeddings, and generative/agentic systems. Proficient in Python; comfortable writing production-quality code. Strong SQL skills for querying, validation, and data exploration. Experience with APIs and integrating external model or vendor services. Familiarity with cloud computing concepts and services. Experience evaluating models for fairness, bias, privacy, explainability, or responsible AI. Comfortable with Git-based version control and collaborative code review. Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree and a minimum of 8 years of relevant experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517849334", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618518198945, "name": "Director, Data Science: Specialty Product Design and Modeling Team", "posting_name": "Director, Data Science: Specialty Product Design and Modeling Team", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "New York, New York, United States", "Columbus, Ohio, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1784136960, "t_create": 1783341720, "ats_job_id": "76746", "display_job_id": "2026-76746", "type": "ATS", "id_locale": "2026-76746-en", "job_description": "Own Specialty's voice on Frontier \u2014 ensure our requirements are heard, documented, and built correctly across a multi-year transformation Become the expert on all Specialty rating programs: coverages, rating structures, data definitions, and pipelines Connect the dots across Product, Technology, Delivery, and Actuarial teams \u2014 keep work moving and surface problems early Research emerging modeling techniques, test new variables, and identify data sources that sharpen our competitive edge Flex across the Specialty team to support high-priority modeling and analytical work Tell the story \u2014 communicate complex technical work clearly to senior leaders and cross-functional partners You're energized by complex problems and equally comfortable in model details and executive conversations You don't wait to be told what to do \u2014 you figure out what needs to happen and make it happen You thrive in ambiguity and pick up new domains faster than most You have personal lines insurance experience and hands-on modeling skills (Python, SAS, Emblem) You are able to collaborate and achieve alignment across large cross-functional teams Advanced degree in Statistics, Mathematics, Data Science, or a related quantitative field preferred; Bachelor's degree with substantial relevant experience considered 6-8 years of relevant insurance experience preferred Deep knowledge of predictive analytic techniques and statistical model diagnostics Proficiency in predictive modeling tools (e.g., Python, SAS, Emblem, Excel) Strong understanding of data sources, rating systems, and Specialty Lines business context (lines, systems, pricing plans) Demonstrated ability to communicate complex information clearly \u2014 verbally, visually, and in writing \u2014 across varied audiences and stakeholder levels Skilled at building relationships and driving alignment across large, cross-functional teams Ability to use data and analysis to influence teams, department heads, and senior leadership Value-driven mindset with strong awareness of business context and impact Proactively challenges the status quo and identifies opportunities to improve team and organizational capabilities Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Advanced knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Ability to establish and build relationships within and outside the organization. Ability to give effective training and presentations to management and other groups. Ability to use results of analysis to persuade team, department management or senior management to a particular course of action. Broad knowledge of business drivers and market context. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 8 years of relevant experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618518198945", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618518084366, "name": "Senior Data Analytics Engineer", "posting_name": "Senior Data Analytics Engineer", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1783617060, "t_create": 1782655980, "ats_job_id": "76674", "display_job_id": "2026-76674", "type": "ATS", "id_locale": "2026-76674-en", "job_description": "Lead the development, optimization, and maintenance of scalable data pipelines and ETL processes to support the organization's analytical needs. Conduct complex data analysis to identify trends, patterns, and insights, identifying issues and changes with the data and communicating solutions to stakeholders. Collaborate with data scientists, analysts, and business stakeholders to understand their data requirements and provide tailored analytics solutions. Implement and enforce data quality and governance standards to ensure data accuracy, reliability, and security. Design and implement robust data models that facilitate data accessibility and efficient querying for analysis and reporting. Utilize python, Snowflake, and SQL queries to build robust data solutions and for profiling data. Stay informed of industry trends, tools, and best practices in data analytics and engineering, and apply this knowledge to enhance the team's capabilities. Mentor and provide guidance to junior data analytics engineers and analysts, fostering a culture of learning and collaboration. Experience with dbt or Databricks is a plus. Domain experience in personal lines Auto, Property, or other insurance product areas. Proven experience leading cross-functional analytics projects, including stakeholder management, project scoping, and delivering business outcomes. 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 Python, SQL, ETL, Spark, Snowflake. 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/618518084366", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618517540260, "name": "Senior Data Engineer, Investments Technology (Enterprise Data Management)", "posting_name": "Senior Data Engineer, Investments Technology (Enterprise Data Management)", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1782241560, "t_create": 1780598460, "ats_job_id": "76286", "display_job_id": "2026-76286", "type": "ATS", "id_locale": "2026-76286-en", "job_description": "Design, develop, maintain, and support data management workflows, data models, and integration processes. Configure and support data ingestion, validation, enrichment, matching, and distribution processes within the enterprise data management system. Support reporting, analytics, and downstream data integration processes connected to the EDM platform. Build and maintain scalable ETL/ELT pipelines for market, reference, and transactional data. Integrate data from internal and external vendors, APIs, flat files, and enterprise applications. Implement data quality checks, reconciliations, exception handling, and monitoring processes. Collaborate closely with data engineers, analysts, and product stakeholders in an agile, squad-based model. Mentor junior engineers, participate in code reviews, and promote engineering best practices and standards. Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 5+ years of experience in data engineering, building and maintaining scalable data platforms and pipelines. Advanced proficiency in SQL with expertise in data modeling and data warehousing concepts. Hands-on experience supporting and developing solutions within Markit EDM. Experience working with market data, reference data, or financial services data platforms. Proficiency in Python for data processing, automation, and integration. Experience troubleshooting complex production data issues. Strong communication and stakeholder management skills.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517540260", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618518096438, "name": "Associate Product Owner-Data Strategy and Governance", "posting_name": "Associate Product Owner-Data Strategy and Governance", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Remote, Remote, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States"], "hot": 0, "department": "Product Management", "business_unit": "0022-Corporate Finance-US", "t_update": 1784125980, "t_create": 1782752340, "ats_job_id": "76685", "display_job_id": "2026-76685", "type": "ATS", "id_locale": "2026-76685-en", "job_description": "Responsible for researching and defining external constraints on the squad/team (e.g. regulatory and compliance approvals). Participates in defining and prioritizing the product backlog. With guidance from a Product Owner, supports the communication of and alignment to the product vision. May also contribute to the definition of the product vision. Supports the use of product level KPIs to drive product decisions. Assists in collecting KPI data and/or reinforcing their use in product decisions. Supports creating and maintaining the backlog (including prioritization, and acceptance criteria). Contributes to squad/team quarterly planning and sets expectations for delivery of new capabilities, features, and functionalities. Participates in squad/team demos, retrospectives, and all other ceremonies. With guidance, works daily with the Agile working group, clarifying business requirements, removing roadblocks, constantly communicating, and supporting alignment around product strategy. With a guidance from the Product Owner, monitors and maintains the product health, supporting long-term product viability and efficiency. May analyze feasibility, cost of delay ramifications, economies, and other aspects of planned or potential changes to the product. Conducts research into regulatory, compliance and other industry constraints on the product. Negotiates with squads/teams within the portfolio to ensure priorities are aligned during a sprint. 1 With a guidance, supports building the product roadmap at the squad/team level based on strategy and ongoing input from stakeholders. Knowledge of Agile development methodologies and IT project management as typically acquired through a Bachelor`s degree in relevant field (business, computer science, humanities, etc 3 years of experience in business, technology, or consulting with a minimum of 1 year direct experience with agile teams Ability to develop strong working relationships and able to influence others and build consensus with cogent arguments Experience communicating moderate to complex ideas, issues and designs Ability to operate with incomplete information and make timely decisions Problem solver with ability to lead a team Experimental mindset with demonstrated willingness to learn and experiment", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618518096438", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618517769126, "name": "Principal Analytics Analyst, Data Office", "posting_name": "Principal Analytics Analyst, Data Office", "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": "3030-USRM-Insights & Solutions-US", "t_update": 1784139300, "t_create": 1781656920, "ats_job_id": "76446", "display_job_id": "2026-76446", "type": "ATS", "id_locale": "2026-76446-en", "job_description": "As a Principal Analytics Analyst / Senior Analytics Analyst, you'll be a key contributor on a small, high\u2011impact team that turns complex legal and regulatory questions into clear analytical requirements and high\u2011quality, insight-driven deliverables. You'll go beyond producing extracts and reporting to conduct in-depth analysis, with claims data. This is a great role for someone who enjoys a mix of forensic problem solving, stakeholder partnership, and hands-on data analysis, and who takes pride in delivering insights that stand up to scrutiny. This position may have in-office requirements depending on candidate location. Conduct deep-dive analysis of complex claims data to identify trends, anomalies, and key insights that directly inform legal strategy, regulatory responses, and compliance assessments. Partner with Legal & Compliance stakeholders to clarify request intent, scope, timelines, and success criteria. Adapt communication style appropriately to share project results, opportunities, and successes with both technical and business (non-technical) leaders. Develop and deliver claims analytical solutions, including everything from foundational claim-level extracts to statistical summaries, predictive metrics, and interactive dashboards using tools like SQL/Snowflake, SAS Viya, Python, and other BI tools as needed. Prioritize efforts to meet delivery timelines, proactively communicating risks to stakeholders. Apply strong data QA practices (reconciliations, trend analysis, reasonableness checks, peer review) to ensure both the data and the resulting analysis are accurate and defensible. Proactively identify opportunities for analysis; partner with stakeholders to move beyond reactive data pulls to a more forward-looking, analytics-driven approach. Produce and maintain clear documentation (methodology, definitions, assumptions/limitations, data lineage) so deliverables are reproducible and audit-ready. Help improve team efficiency by creating reusable code modules, templates, and standardized \u201crequest packages\u201d for recurring stakeholder needs. Collaborate with data product and engineering partners to identify high-value recurring requests that should be supported by curated data assets. Demonstrates an understanding of new technologies as needed to progress initiatives, including leveraging approved AI tools to improve processes (within guardrails). Participate in the team's operating cadence (standups, intake/triage, prioritization) and proactively communicate status, risks, and blockers. Acts as a technical guide and mentor for lower level associates. Embrace Diversity, Equity and Inclusion culture creating long-lasting and trusting relationships with teammates. Deliverables are accurate, consistent, and well-documented, with fewer last-minute surprises or rework cycles. 3-5+ years of professional experience in data analytics, with a strong preference for experience in the property and casualty insurance industry. Strong working knowledge of SQL and experience working with large datasets (Snowflake or similar platforms preferred). Proven experience in claims analytics, with a strong understanding of claims data concepts (e.g., claim/exposure/transaction grain, paid/incurred/reserve, claim lifecycle) and familiarity with claims systems (e.g., Guidewire, Claims WorkBench). Experience building data deliverables end-to-end: requirements \u2192 analysis & insight generation \u2192 QA \u2192 stakeholder delivery. Strong communication skills; comfortable translating complex analytical findings into clear, concise narratives for non-technical audiences. Experience supporting Compliance, Regulatory, or Legal stakeholders, or producing audit-ready deliverables. Experience with Power BI or similar BI tools. Experience with Python or SAS for data analysis is a plus. 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, SQL, SAS and experience working with large datasets (Snowflake or similar platforms preferred). 5-7 years experience as developer with top quadrant Business Intelligence tools", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517769126", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618514571625, "name": "Investments Data Product Owner - Liberty Mutual Investments", "posting_name": "Investments Data Product Owner - Liberty Mutual Investments", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "New York, New York, United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1784139660, "t_create": 1765574760, "ats_job_id": "73623", "display_job_id": "2025-73623", "type": "ATS", "id_locale": "2025-73623-en", "job_description": "Own the vision, strategy, and roadmap for sourcing, integrating and curating external market data into LMI's data warehouse and core data products. Develop and manage the product backlog, ensuring clear prioritization aligned with business value, technical dependencies, and stakeholder needs across the investment data ecosystem. Partner closely with the Data Engineering chapter to design and deliver scalable, well-governed, and high-quality data solutions across key investment data domains (e.g., security and company reference data, pricing, positions, transactions, benchmarks, and analytics). Act as the voice of the customer\u2014portfolio managers, traders, investment analysts, operations, risk, and compliance\u2014to ensure investment data is accurately modeled, curated, and accessible to meet end-user needs and decision-making requirements. Champion the integration of data across the investment lifecycle, connecting front-office trading and portfolio management, middle-office risk and performance, and back-office accounting and operations. Drive incremental delivery using Agile methodologies, facilitating sprint planning, review, and refinement activities. Ensure that data products adhere to LMI's standards for data governance, lineage, accessibility, and quality, with a focus on the unique demands of investment data accuracy and timeliness. Bachelor's degree in Computer Science, Engineering, Finance, or Business Administration (advanced degree preferred). 8+ years of experience as a Product Owner, Data Product Manager, or Data Strategist within financial services, preferably investment or asset management. Demonstrable knowledge of investment data domains, including security reference data, company/issuer reference data, benchmarks and indices, pricing and valuations, positions, holdings, and transactions across multiple asset classes (equities, fixed income, derivatives, and alternatives a plus). Strong understanding of how investment data flows through the trade lifecycle and supports portfolio management, performance, risk, and regulatory reporting. Strong understanding of data management concepts\u2014master data management, metadata, data lineage, and data quality frameworks\u2014applied specifically to investment data. Hands-on exposure to order management systems (OMS), accounting book of record (ABOR/IBOR), and market data vendor platforms (e.g., Bloomberg, Refinitiv, ICE, MSCI). Experience working in Agile/Scrum environments with a strong ability to lead, prioritize, and manage multiple workstreams. Excellent communication and storytelling skills; able to translate complex investment data concepts into clear business terms for both technical and investment audiences. Strong analytical and critical-thinking skills with a focus on driving business value through data. 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