Hiring: Sr. Data Product Owner Company: Droisys Location: New York, NY Job Posted Time: 2026-09-16 20:52:47 Employment Type: Hybrid Target Skills & Keywords : Agile, Confluence, Databricks, Jira, LLM, Product Management, Project Management, SQL, Snowflake, Wealth Management About the job Experience: •8–10 years of experience in data product management, data product ownership, or a closely related data-focused role within financial services; background in investment management or wealth management is strongly preferred •Demonstrated success in owning and delivering multiple data products simultaneously, including full roadmap ownership and end-to-end management of data transformation programs •Strong hands-on proficiency with data analysis and querying •Demonstrated experience managing large, complex datasets across enterprise data platforms (e.g., Snowflake, Databricks, or equivalent) •Solid functional working knowledge of data governance principles, data quality management, metadata management, and data lineage practices Required Skills: •Own the end-to-end product lifecycle for multiple enterprise data products simultaneously—including core data assets such as Client Master, Transaction Master, Product Master, and other foundational datasets—from ideation through delivery and continuous improvement •Define, maintain, and communicate a prioritized product roadmap aligned to business objectives and the firm's broader data strategy •Develop and manage detailed product backlogs; author clear, actionable user stories, acceptance criteria, and functional specifications •Define and track product KPIs, adoption metrics, and data quality benchmarks; iterate on products based on outcomes and user feedback Qualifications: •Partner closely with stakeholders across Sales & Strategy, Finance, Operations, the Enterprise Data Office, and Engineering to surface data needs and translate them into well-scoped product requirements •Conduct structured discovery sessions, workshops, and user interviews to understand pain points and define the right problem before designing solutions •Serve as the primary liaison between business users and data engineering teams, ensuring requirements are unambiguous and delivered solutions meet user expectations •Proactively manage stakeholder expectations, communicate trade-offs clearly, and build trusted, long-term relationships at all organizational levels •Prepare and present executive-level updates, roadmap reviews, and business cases to senior leadership and key decision-makers •Perform hands-on data analysis—including dataset profiling, anomaly identification, lineage validation, and accuracy checks—across large and complex financial datasets •Define and enforce data quality standards, governance frameworks, and data dictionaries for owned products •Partner cross-functionally with data engineers and architects to understand underlying data models, pipelines, and platform infrastructure; provide informed input into technical design decisions •Leverage AI and automation tools to accelerate data analysis, surface insights, and improve product delivery velocity •Champion data literacy across business teams; help users understand, trust, and effectively use data products Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!