Investments Data Product Owner - Liberty Mutual Investments

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—portfolio managers, traders, investment analysts, operations, risk, and compliance—to 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—master data management, metadata, data lineage, and data quality frameworks—applied 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. Demonstrated proficiency in SQL and AI tools; experience with Snowflake a plus.