Data Lake Product Owner (Finance & Data Governance)

Cantor Fitzgerald; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading financial organization is looking for a motivated Data Lake Technical Product Owner who can develop a strategic vision for a centralized data repository. The ideal candidate will have a strong background in data governance, technical requirements, and financial domain knowledge. Responsibilities include defining the roadmap for the data platform, enforcing data privacy policies, and managing technical user stories. Strong communication skills and experience with cloud technologies like AWS and Azure are essential. This role is critical for ensuring high-quality data for analytics and reporting.

Qualifications

• Bachelor’s or Master’s degree in relevant field or equivalent work experience.
• Experience with Equities & Equities trading.
• Strong understanding of cloud technologies and data engineering principles.

Responsibilities

• Define and maintain the vision and roadmap for the data platform.
• Enforce policies for data privacy, compliance, and data classification.
• Act as the primary interface for users, translating business needs into technical user stories.

Skills

Financial Domain Knowledge

Technical Acumen

Product Management

Business Acumen

Communication

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Tools

AWS

Azure

SQL

Snowflake

Databricks

CRM platforms (Salesforce)

Job description

A leading financial organization is looking for a motivated Data Lake Technical Product Owner who can develop a strategic vision for a centralized data repository. The ideal candidate will have a strong background in data governance, technical requirements, and financial domain knowledge. Responsibilities include defining the roadmap for the data platform, enforcing data privacy policies, and managing technical user stories. Strong communication skills and experience with cloud technologies like AWS and Azure are essential. This role is critical for ensuring high-quality data for analytics and reporting.