· Contribute to the strategy, roadmap, and ongoing evolution of investment data products by translating business priorities into scalable solutions that improve decision-making, analytics, operational efficiency, and information management.
· Partner with business and technology stakeholders to understand business processes, challenges, and data requirements, translating needs into user stories, acceptance criteria, data mappings, process documentation, and solution designs.
· Perform data analysis, profiling, reconciliation, validation, and root-cause investigations across investment and accounting data domains, while collaborating with engineers and architects to design scalable data models, transformation rules, and reusable data products.
· Own and prioritize the product backlog, ensuring delivery teams have clear requirements, priorities, and expected outcomes, while actively supporting Agile ceremonies, testing, user acceptance activities, and release readiness.
· Support enterprise data governance, quality, and control initiatives by establishing and monitoring data standards, testing practices, lineage, metadata, and business glossary requirements.
· Build strong relationships with stakeholders by communicating product priorities, roadmaps, progress, risks, and outcomes, while supporting change management and user adoption activities.
· Contribute to the definition, tracking, and achievement of product and initiative objectives and key results (OKRs), measuring success through adoption, data quality, operational efficiency, and business outcomes.