Sr. Data Product Manager; Data Governance & Investment Banking

Sr. Data Product Manager (Data Governance & Investment Banking)

New York City, NY

Domain:
Data Governance & Investment Banking experience is MUST.

Base pay range: $50.00/yr - $55.00/yr

We are seeking an experienced Data Product Manager with a robust background in Data Engineering and a deep understanding of banking and financial services data. The ideal candidate will play a pivotal role in defining, developing, and managing data products and solutions, working collaboratively across teams of Data Engineers, Data Analysts, Data Scientists, and Business Stakeholders. The candidate will leverage their technical expertise to ensure our data offerings are robust, scalable, and aligned with business needs and compliance standards.

• Define and prioritize data products, features, and roadmaps aligned with banking operations and analytics requirements.
• Develop a comprehensive understanding of business needs related to data and translate them into actionable product requirements.
• Collaborate with stakeholders to gather, refine, and document data requirements, ensuring alignment with organizational goals.
• Work closely with Data Engineers to design, develop, and enhance scalable data pipelines, ensuring they meet quality and performance standards.
• Coordinate with Data Analysts and Data Scientists to facilitate data access, usability, and analytics.
• Act as a liaison between technical teams and business units to facilitate clear communication and understanding.
• Ensure all data products are developed and maintained in compliance with banking industry data security, privacy, and governance standards.
• Define and implement policies for data quality, integrity, and security.
• Oversee the end-to-end lifecycle of data products, from development and testing to deployment and monitoring.
• Manage release schedules, coordinate deployment activities, and ensure robust version control.
• Implement processes for continuous improvement and automation of data workflows.
• Maintain strong understanding of data engineering processes, including data warehousing, ETL/ELT workflows, and cloud platforms such as Snowflake, Azure, and Databricks.
• Provide technical guidance and support to Data Engineers on best practices in data architecture, pipelines, and security standards.
• Monitor data product performance, troubleshoot issues, and collaborate with engineering teams for tuning and optimization.
• Collect feedback from users to iterate and improve data solutions.
• Maintain clear documentation of data products, architecture, and processes.
• Conduct training sessions or workshops to facilitate effective utilization of data assets among stakeholders.

• Proven experience as a Data Product Manager or similar role with a strong technical background in Data Engineering.
• Deep understanding of Snowflake, Python, Pyspark, SQL, and cloud data platforms.
• Extensive experience with data warehousing, ETL/ELT processes, and data pipeline management.
• Strong knowledge of banking and financial industry data, including compliance, security, and privacy standards.
• Ability to bridge the technical and business worlds, translating complex data concepts into understandable solutions.
• Familiar with release management, CI/CD practices, and version control.
• Excellent communication, stakeholder management, and collaboration skills.
• Experience working with Data Engineers, Data Analysts, and Business Stakeholders in a fast‑paced environment.

• Experience working with Azure, Databricks, and related cloud services.
• Knowledge of streaming technologies such as Apache Kafka.
• Familiarity with Dev Ops practices, CI/CD pipelines, and Agile methodologies.
• Prior experience in the banking or financial services industries.