Data Product Manager (Tech Product Manager )

Data Product Manager (Tech Product Manager ) Data Governance / Data Quality ? Enterprise Data Management (Invest Banking experience is MUST)

Location - New York city - in person interview is must and INVESTMENT banking exp is must

Data Product Manager

Over all 14+ years of experience and Banking Clients in recent 3 projects.

NYC NY (F2F Interview at Client office)

Overview: 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 with 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.

Key Responsibilities:

- Product Ownership & Strategy:

- 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, translating these into actionable product requirements.

- Collaborate with stakeholders to gather, refine, and document data requirements, ensuring alignment with organizational goals.

Cross-Functional Collaboration::

- 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.

Data Governance & Compliance:

- 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.

Data Lifecycle & Release Management:

- 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.

Technical Oversight & Knowledge:

- Maintain strong understanding of Data Engineering processes, including data warehousing, ETL/ELT workflows, and cloud platforms like Snowflake, Azure, and Databricks.

- Provide technical guidance and support to Data Engineers on best practices in data architecture, pipelines, and security standards.

- Stay updated on latest industry trends, tools, and best practices, integrating them into the data product roadmap.

Performance Monitoring & Optimization:

- 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.

Documentation & Training:

- Maintain clear documentation of data products, architecture, and processes.

- Conduct training sessions or workshops to facilitate effective utilization of data assets among stakeholders.

Required Skills & Experience:

- 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.

- Able 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.

Preferred Qualifications:

- Experience working with Azure, Databricks, and related cloud services.

- Knowledge of streaming technologies like Apache Kafka.

- Familiarity with DevOps practices, CI/CD pipelines, and Agile methodologies.

- Prior experience in the banking or financial services industries.