We're seeking a technical Product Manager of Enterprise Data to execute TradeStation's data strategy and ensure our enterprise data foundation powers decision-making across the organization. This role will partner with data engineering, data scientists, and data analysts to deliver high-quality, governed, and accessible data products that enable analytics, AI, and business operations. Own the data product lifecycle — define roadmaps, write requirements, and deliver data products, pipelines, and platforms that meet business and technical needs Write production-grade SQL queries and Python scripts to validate data quality and build data solutions Partner with data engineering to design and optimize data models, pipelines, and workflows in Databricks Establish and manage data governance frameworks — including data classification, quality standards, lineage tracking, and access controls Define and manage data quality KPIs — track completeness, accuracy, timeliness, and consistency; drive continuous improvement initiatives Ensure compliance with regulatory requirements and internal policies for data handling and security Drive self-service analytics adoption — build documentation, training, and support structures that enable stakeholders to access and use data effectively Collaborate with Product, Analytics, and business teams to understand data needs and translate them into scalable platform capabilities Evangelize data best practices and platform capabilities across the enterprise Contribute to data strategy and roadmap planning aligned with business priorities Report measurable outcomes — communicate progress on data initiatives tied to adoption, quality improvements, and business impact Stay current on data platform trends, tools, and best practices to keep TradeStation's data capabilities competitive