
Data Product Manager - NYC
- Hybrid
- New York City, New York, United States
- Information Technology
Data Product Manager with Data Engineering and Banking expertise. Skilled in Snowflake, PySpark, SQL, ETL, and cloud platforms. Experience in data governance, pipelines, and stakeholder collaboration.
Job description
Overview
We are seeking an experienced Data Product Manager with a strong background in Data Engineering and deep expertise in banking and financial services data. This role focuses on building scalable, compliant, and business-aligned data products while collaborating with cross-functional teams.
Location: New York City, NY (Hybrid – 3 days onsite)
Interview Mode: In-person required
Key Responsibilities
Product Ownership & Strategy
Define and prioritize data product roadmap aligned with business goals
Translate business requirements into actionable data solutions
Collaborate with stakeholders to gather and refine requirements
Cross-Functional Collaboration
Work with Data Engineers to build scalable data pipelines
Partner with Data Analysts and Data Scientists for data usability
Act as a bridge between business and technical teams
Data Governance & Compliance
Ensure adherence to data security, privacy, and compliance standards
Implement data quality, integrity, and governance policies
Data Lifecycle & Release Management
Manage end-to-end lifecycle of data products
Oversee releases, deployments, and version control
Drive automation and continuous improvement
Technical Oversight
Guide teams on data architecture, pipelines, and best practices
Work with Snowflake, Azure, Databricks, ETL/ELT workflows
Stay updated with industry trends and tools
Performance Monitoring
Monitor performance and optimize data products
Troubleshoot issues and improve system efficiency
Documentation & Training
Maintain documentation for data systems and processes
Conduct training sessions for stakeholders
Job requirements
Required Skills & Experience
Strong experience as a Data Product Manager or similar role
Background in Data Engineering
Expertise in Snowflake, Python, PySpark, SQL
Experience with ETL/ELT, data warehousing, and pipelines
Strong knowledge of banking/financial data and compliance
Experience with CI/CD, release management, and version control
Excellent communication and stakeholder management skills
Preferred Qualifications
Experience with Azure, Databricks
Knowledge of Apache Kafka or streaming technologies
Familiarity with DevOps and Agile methodologies
Prior experience in banking or financial services
or
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