Product Owner - Data

Location: New York, NY Hybrid, 2 3 days onsite

Role Overview

We are seeking an experienced Data Product Owner to lead enterprise data products supporting critical business, client, and investment management functions.

This is a hands-on role requiring strong experience working with both business stakeholders and data engineering teams. The ideal candidate should be comfortable owning product strategy and roadmaps while also performing hands-on data analysis using SQL and enterprise data platforms.

Key Responsibilities

• Own the end-to-end lifecycle of enterprise data products such as Client Master, Transaction Master, Product Master, and other foundational datasets.
• Define and manage product roadmaps, priorities, backlogs, user stories, and acceptance criteria.
• Work closely with business, finance, operations, data, and engineering teams to gather and translate requirements.
• Conduct discovery sessions and identify business and data challenges.
• Perform hands-on data analysis, data profiling, validation, anomaly detection, and data quality checks.
• Define data quality standards, governance requirements, metadata, data dictionaries, and lineage.
• Work with data engineers and architects on data models, pipelines, and platform design.
• Define and track product KPIs, adoption metrics, and data quality measures.
• Present product roadmaps, business cases, and project updates to senior leadership.
• Manage multiple data products, priorities, risks, dependencies, and stakeholders simultaneously.
• Leverage AI and automation tools to improve data analysis and product delivery.

Required Skills

• 8 10+ years of experience in Data Product Management, Data Product Ownership, or similar data-focused roles.

• Strong experience within Financial Services.

• Experience in Asset Management or Wealth Management is highly preferred.

• Proven experience owning and delivering multiple enterprise data products.

• Strong hands-on SQL and data analysis skills.

• Experience working with large and complex enterprise datasets.

• Experience with platforms such as Snowflake, Databricks, or similar technologies.

• Strong understanding of:

• Data Governance

• Data Quality

• Metadata Management

• Data Lineage

• Enterprise Data Models

• Experience with Jira, Confluence, or similar product/project management tools.

• Excellent stakeholder management and executive communication skills.

• Ability to work independently in a fast-paced environment.

Preferred Experience

• Asset Management or Wealth Management data experience.
• Portfolio, position, AUM, flows, investor reporting, trade, or settlement data.
• Generative AI, LLM-based workflows, or AI-powered analytics tools.
• Third-party data vendor evaluation and management.

Important

This is a Full-Time / Permanent opportunity .

Candidates must be visa independent and able to work in the United States without employer sponsorship now or in the future .