AlgebraIT

AlgebraIT

Data Product Manager (Only w2)

New Jersey, USA · Contract

Sponsorship not specifiedDetected 199 days ago
PythonSQLSnowflakeDatabricksAzureCloud PlatformsCI/CDDevOpsData EngineeringProduct ManagementAgileStakeholder ManagementCommunicationCollaboration

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

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Employer immigration record

from this employer's Department of Labor filings

Green-card intent detected

AlgebraIT LLC obtained a prevailing wage determination for Software Developers in Austin, TEXAS on 2026-06-10. No matching green-card filing appears in our data yet. The determination expires in 0 days (2026-09-07), and a green-card filing must follow before then or the employer starts over.+1 more active determination on file

Third-party placement is common here

38% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 30 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Apple Inc · Wells Fargo · Northern TrustFiles as an H-1B dependent employer.

Files H-1B transfers

5 transfer filings in the last year, covering 5 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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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.