Sr. Data Product Manager (Data Governance & Investment Banking)Apptad Inc • New York City, New York, USA
Sr. Data Product Manager (Data Governance & Investment Banking)
Apptad Inc • New York City, New York, USA
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]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. 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. 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. 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.
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 :
Cross-Functional Collaboration : :
Data Governance & Compliance :
Data Lifecycle & Release Management :
Technical Oversight & Knowledge :
Performance Monitoring & Optimization :
Documentation & Training :
Required Skills & Experience :
Preferred Qualifications :
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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