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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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": 618517487462, "name": "Director, Data Science: Data Science Tools", "posting_name": "Director, Data Science: Data Science Tools", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1783605540, "t_create": 1780407360, "ats_job_id": "76242", "display_job_id": "2026-76242", "type": "ATS", "id_locale": "2026-76242-en", "job_description": "Design and build internal tools, pipelines, and applications that improve model development, evaluation, and deployment Own strategy and roadmaps for improving data science workflows and tooling across USRM Design, build, and maintain Python packages used across the organization Evaluate and implement AI agent capabilities in tooling using approaches such as MCP, RAG, PydanticAI, LangChain, or related frameworks Work with workflow and modeling tools such as Luigi, Airflow, Celery, MLflow, H2O, scikit-learn, Optuna, and LightGBM, as well as Python development tools such as Pydantic, FastAPI, uv, ruff, and pytest Promote MLOps and AI agent best practices in collaboration with groups such as Enterprise Data & Data Science Stay current on developments in open-source data science frameworks, MLOps, and agentic coding practices Help shape the direction of the Tools team and contribute to a culture of ownership, collaboration, and continuous improvement Worked with any of the following in a professional setting: Git, Bash/shell scripting, uv, pre-commit, ruff, pytest, or Pydantic Implemented or supported AI/LLM-based tooling using frameworks such as PydanticAI, LangChain, MCP, or RAG Developed, reviewed, or maintained internal Python packages, APIs, or data science applications using tools such as FastAPI, Streamlit, Dash, NiceGUI, or Plotly 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/618517487462", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"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": 618517731358, "name": "Assistant Director, Data Science (STP)- Model Automation & Product Team", "posting_name": "Assistant Director, Data Science (STP)- Model Automation & Product Team", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Boston, Massachusetts, United States"], "hot": 0, "department": "Analytics", "business_unit": "0116-GRS-Actuarial-US", "t_update": 1783430400, "t_create": 1781533080, "ats_job_id": "76402", "display_job_id": "2026-76402", "type": "ATS", "id_locale": "2026-76402-en", "job_description": "Assistant Director, Data Science $120,000-$225,000 Lead modeling efforts including oversight of junior staff Responsible for larger components of projects of moderate to high complexity Explore technical solutions to support model deployment Performing ad hoc analyses in support of products Partner across functions as needed to coordinate delivery plans, testing, training and support Lead problem resolution as needed to ensure that internal and external customers receive prompt, efficient service. Ideal candidate will have 3-5 years of Python experience 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.", "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": 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": 618517797879, "name": "Dir I, Data Solutions - People, Purpose & Brand", "posting_name": "Dir I, Data Solutions - People, Purpose & Brand", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Analytics", "business_unit": "0021-People, Purpose & Brand-US", "t_update": 1782947340, "t_create": 1781807160, "ats_job_id": "76472", "display_job_id": "2026-76472", "type": "ATS", "id_locale": "2026-76472-en", "job_description": "Own and govern our Experimental Snowflake schema, taking partially formed ideas and immature datasets and building, iterating, and hardening their design before migrating them to standard production pipelines. Translate vague ideas and ambiguous problems into clear data product strategies, influencing strategic thinking across your teams and the broader organization, and incorporating enterprise direction, tools, and patterns into operational process flows. Lead the team in designing, prototyping, and developing scalable data solutions \u2014 from proof-of-concept through production \u2014 that meet organizational and business customer needs, partnering with IT to scale and institutionalize them across the enterprise. Identify manual, inefficient processes and design automation and/or AI-enabled solutions, establishing best practices for reusable, modular code across multiple programming languages. Set technical standards for iterative testing, code quality, and engineering rigor, applying a deep understanding of complex multi-tier, multi-platform systems and embedding metadata, lineage, business definitions, compliance, and data security into all solution work. Ensure high data quality, integrity, and timeliness across operational and analytical datasets, partnering closely with Data Governance to align solution delivery with our governance framework, regulatory requirements, and ethical data-use standards. Manage a portfolio of projects and act as a change agent \u2014 defining business-impactful metrics, prioritizing by customer value, setting expectations for team deliverables, transferring knowledge through documentation, and cultivating a data-focused mentality across functional areas. The ideal candidate is a technical leader and strategic thinker who pairs deep engineering credibility with the ability to influence at the executive level. Strong communication skills and a collaborative approach, enabling effective partnership with both technical teams and business stakeholders. A curious, proactive problem-solving mindset and a commitment to continuous learning, with the ability to navigate complex data challenges and adapt to evolving regulatory requirements. Strategic thinking and accountability, aligning data solution efforts with broader business objectives to ensure trusted, compliant, and value-driven data use across the organization. The ability to lead concurrently across many workstreams with limited direction, while developing and inspiring high-performing technical teams. Bachelors Degree in Computer Science, Computer Engineering, or related discipline preferred Master`s in same or related disciplines strongly preferred 7-10 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in SQL, ETL, Snowflake, PowerBI, DataBricks, Python", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517797879", "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": 1783351020, "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. 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": 618517695126, "name": "Director, Operational Data & Reporting, Direct Distribution & Partnerships", "posting_name": "Director, Operational Data & Reporting, Direct Distribution & Partnerships", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Plano, Texas, United States"], "hot": 0, "department": "Analytics", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1782843960, "t_create": 1781285580, "ats_job_id": "76389", "display_job_id": "2026-76389", "type": "ATS", "id_locale": "2026-76389-en", "job_description": "Lead, mentor, and develop a team of 3-6 data solutions analysts across mixed experience levels, providing technical coaching, career development guidance, and a clear growth path tailored to each individual's career journey. Delegate work effectively by equipping team members with the right context, clearly defined scope, and appropriate autonomy so they can execute with confidence and ownership. Coordinate and provide day-to-day direction to an extended team of offshore analysts, partnering effectively across time zones and with the offshore team lead to ensure alignment on priorities, quality standards, and delivery expectations. Foster a collaborative, high-performing team culture that values continuous learning, technical excellence, and career development, including staying current with emerging tools, AI capabilities, and data engineering methodologies. Serve as the primary point of escalation for complex technical or project challenges, driving timely resolution and removing blockers for the team. 5-7+ years of experience in data management, analytics, business intelligence, or related data environments. 2+ years of people leadership experience, with demonstrated success leading, coaching, and developing technical teams. Strong technical foundation in dimensional modeling, SQL, and Business Intelligence tools (Power BI or equivalent); hands-on experience with Python or scripting languages strongly preferred. Demonstrated ability to manage intake and prioritization across multiple stakeholder groups, with strong judgment on business value, organizational impact, and team capacity. Proven ability to translate vague or business-facing requests into well-scoped, technically actionable work. Experience with data quality practices, metadata management, lineage, and governance principles preferred. Familiarity with cloud data platforms (e.g., Snowflake, AWS) and modern data pipeline practices a plus. Experience supporting distribution, sales, digital, or partnerships domains preferred but not required. Exceptional written and verbal communication skills, with the ability to engage effectively across both technical and non-technical audiences. Strong written and oral communication skills required Bachelors Degree in Computer Science, Computer Engineering, or related discipline preferred Master`s in same or related disciplines strongly preferred 7-10 years experience in coding for data management, data warehousing, or other data environments, including, SQL, SAS, Snowflake and using Business Intelligence tools like PowerBI. 7-10 years experience with top quadrant Business Intelligence tools Able to identify stakeholder and customer pain points and strategically address those concerns Able to describe value and influence the prioritization of data solutions Able to organize and balance resources to address customer pain points Guides a team to break down data issues and resolve them, by prototyping data solutions to meet the needs of both the organization and business customers Build strong, trusted relationships with stakeholders by deeply understanding their goals, needs, and pain points, while proactively surfacing insights, managing expectations with transparency, and bridging the gap between business intent and technical delivery. Guide the creation of initiative roadmaps, shaping the team's project portfolio from initial ideation through successful delivery, while continuously identifying opportunities to simplify, standardize, and modernize reporting solutions. Ensure technical quality and best practices across the team's output including dimensional modeling, SQL, Power BI, and Python-based solutions with the credibility to actively coach and review team members' work. Operate effectively as a strategic thought partner to senior leadership, contributing beyond execution to roadmap vision and organizational direction.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517695126", "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": 1782762900, "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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