Product Owner

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

We are looking for a motivated Data Lake Technical Product Owner with a strong foundation in data products and data ownership. The ideal candidate will be able to develop the strategic vision for a financial organization’s new centralized data repository but also have hands‑on experience in data governance and technical requirements of such a platform. They will bridge technical teams and business & operations stakeholders, ensuring the data platform is scalable, secure, and provides high-quality data to drive analytics, client reporting and regulatory submissions. They will also thrive in a flat organizational structure in a company undergoing multiple technical reengineering efforts.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or relevant work experience).

Key Responsibilities

• Strategy & Roadmap: Define and maintain the vision, roadmap, and prioritization of features for the data platform.
• Data Governance & Security: Author, build consensus around and enforce policies for data privacy, compliance, and data classification.
• Stakeholder Management: Act as the primary interface for users, translating business needs into technical user stories for engineers.
• Data Quality & Cataloging: Ensure data ingested is reliable, documented, and properly cataloged for accessibility.
• Operational Excellence: Monitor data pipeline performance, optimize costs, and manage the technical lifecycle of the platform.

Experience Required

Must Have

• Financial Domain Knowledge: Experience with Equities & Equities trading, with broad knowledge across the domain.
• Technical Acumen: Strong understanding of cloud technologies (AWS, Azure), data warehousing, SQL, and data engineering principles.
• Product Management: Experience with Agile methodologies, backlog prioritization, and defining KPIs.
• Business Acumen: Ability to align technical data initiatives with business objectives and value.
• Communication: Strong skills to bridge the gap between technical teams and non-technical stakeholders.

Good to Have

• Experience with Snowflake, Databricks, Delta Lake or other data lake platforms
• Hybrid data architecture spanning on‑prem and cloud environments.
• Knowledge of CRM platforms (Saleforce, etc) and experience integrating sales, trading and CRM data to drive business insights.
• Certifications from relevant professional organizations, such as:
• CDMP (Certified Data Management Professional)
• DCAM (Data Management Capability Assessment Model)