Technical Product Manager – Data & Analytics NY
Job in
Dallas, Dallas County, Texas, 75215, USA
Listed on 2026-10-13
Listing for:
COVETIT INC.
Full Time
position Listed on 2026-10-13
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering, Data Warehousing, Data Science Manager
Job Description & How to Apply Below
Technical Product Manager – Data & Analytics
Location:
New York City, NY (Onsite Position) Job Type: Long term W2 Contract
OPT Candidates are eligible to apply for this position
Overall Minimum 3 years experience to 10+ years required
Key Responsibilities- Data Product Strategy:
Define and execute the roadmap for data-driven products, ensuring alignment between business goals and GCP’s technical capabilities. - Hands-on Data Exploration:
Perform deep-dive analysis using Big Query and SQL to validate product hypotheses, identify trends, and generate outcomes from Big Data. - Architecture
Collaboration:
Partner with Data Engineers to design and optimize scalable data pipelines and cloud architecture within the GCP ecosystem. - Technical Specifications:
Translate business requirements into technical user stories, specifically focusing on data schemas, ETL processes, and analytical outputs. - Outcome Generation:
Turn raw data into "productized" insights, defining KPIs and building dashboards to measure product success and user behavior. - Stakeholder Liaison:
Communicate technical data constraints and architectural trade-offs to non-technical business leaders.
- Cloud Expertise:
Expert-level understanding of Google Cloud Platform (GCP), specifically Big Query, Cloud Storage, Dataflow, and Pub/Sub. - Advanced Analytics:
Professional-grade proficiency in SQL (complex joins, window functions, and query optimization). - Big Data Ecosystem:
Experience with large-scale data processing frameworks and understanding how to structure data for high-performance querying. - Data Visualization:
Experience with tools like Looker, Tableau, or Looker Studio to present data outcomes. - Education/
Experience:
4+ years of experience in Technical Product Management or Data Engineering/Analytics. A degree in a quantitative field (CS, Math, Data Science) is preferred.
- Analytical Rigor: A natural tendency to look at the "why" behind the numbers.
- Adaptability:
Ability to pivot strategy based on what the data reveals during a deep dive. - Precision:
High attention to detail regarding data integrity and architectural scalability.
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