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Sr. Data Product Manager (Data Governance & Investment Banking)
Sr. Data Product Manager (Data Governance & Investment Banking)Apptad Inc • New York City, New York, USA
Sr. Data Product Manager (Data Governance & Investment Banking)

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

Apptad Inc • New York City, New York, USA
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  • serp_jobs.job_card.full_time
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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.
  • Key Skills

    SQL,Data Collection,GCP,Master Data Management,R,Data Management,Clinical Trials,User Acceptance Testing,Data Warehouse,SAS,Oracle,Data Analysis Skills

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

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    Manager Data Governance • New York City, New York, USA

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