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

Location : New York City, NY

Duration: Long term contract

Candidates who can work independently are more preferred

12 years of experience level required

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.

Thanks & Regards

Vijaya Lakshmi

Lead Recruiter

Consulting | Staffing | Mobile & Web Solutions

Phone:

21800 Haggerty Road, Suite 204 Northville, Michigan 48167

MBE Certified | E-Verify

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