AlgebraIT
Data Product Manager (Only w2)
New Jersey, USA · Contract
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About the role
- 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 candidate will leverage their technical expertise to ensure our data offerings are robust, scalable, and aligned with business needs and compliance standards.
Responsibilities
- 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.
- Define and implement policies for data quality, integrity, and security.
- Manage release schedules, coordinate deployment activities, and ensure robust version control.
- Implement processes for continuous improvement and automation of data workflows.
- Provide technical guidance and support to Data Engineers on best practices in data architecture, pipelines, and security standards.
- Performance Monitoring & Optimization: Monitor data product performance, troubleshoot issues, and collaborate with engineering teams for tuning and optimization.
- Documentation & Training: Maintain clear documentation of data products, architecture, and processes.
- Work closely with Data Engineers to design, develop, and enhance scalable data pipelines, ensuring they meet quality and performance standards.
Requirements
- Hi, Hope you are doing well Below is job Description please go through it and let me know if you are interested.
- In-person interview required.
- Proven experience as a Data Product Manager or similar role with a strong technical background in Data Engineering.
- 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.
- Experience working with Data Engineers, Data Analysts, and Business Stakeholders in a fast-paced environment.
- Technical Oversight & Knowledge: Maintain strong understanding of Data Engineering processes, including data warehousing, ETL/ELT workflows, and cloud platforms like Snowflake, Azure, and Databricks.
- Required Skills & Experience: Proven experience as a Data Product Manager or similar role with a strong technical background in Data Engineering.
Nice to have
- 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.
Company info
- 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.
This listing is sourced directly from AlgebraIT's careers page and normalized into a canonical job model.