Sr. Data Product Manager (Data Governance & Investment Banking)
New York City, NY
Need local resumes with candidates open for Client In-Person interview.
Domain: Data Governance & Investment Banking experience is MUST.
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.