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Sr. Data Product Manager (Data Governance & Investment Banking)
Sr. Data Product Manager (Data Governance & Investment Banking)FUSTIS LLC • New York, NY, United States
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Sr. Data Product Manager (Data Governance & Investment Banking)

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

FUSTIS LLC • New York, NY, United States
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  • [job_card.full_time]
[job_card.job_description]

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

Pay Rate : $75-$80 on C2C / 1099

Location : NYC, NY (Onsite) - Need locals only

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 :

  • 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.
  • 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.

    • 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.
  • 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.

    • 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.
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