Job Title: Data Product Owner
Location: New York – Hybrid (3-4 days to NY office)
Position Overview: The Client is seeking a highly capable and self-driven Data Product Owner to join our data and technology team on a contract basis in New York. This individual will serve as the bridge between business stakeholders and technical data engineering teams, owning the strategy, roadmap, and delivery of client data products that power critical client-facing and investment management functions across the firm.
The ideal candidate is a seasoned, hands-on data professional with deep roots in financial services—particularly asset management or wealth management—who can hit the ground running and contribute immediately at a high level. This person thrives in a fast-paced environment, exercises strong judgment, and balances strategic thinking with meticulous execution. They are as comfortable writing a SQL query to validate a dataset as they are presenting a product roadmap to senior leadership.
Required Details:
- 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
- Proven track record of 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)
- Working knowledge of data governance principles, data quality management, metadata management, and data lineage practices
- Excellent communication skills—written, verbal, and visual—with the ability to translate complex data concepts into clear business language and present confidently to senior and executive leadership
- Highly organized and detail-oriented; able to manage competing priorities independently, hold high personal standards, and deliver quality work with minimal supervision
- Proficiency with product and project management tools such as Jira, Confluence, or equivalent
Preferred
- Direct domain expertise in asset management or wealth management data (e.g., portfolio and position data, investor reporting, AUM and flows, trade and settlement data)
- Demonstrated experience leveraging AI tools—including generative AI assistants, LLM-based workflows, or AI-powered analytics platforms—to accelerate data product development and analysis
- Experience evaluating and managing third-party data vendors
