Senior Technical Product Manager, Data Engineering & Data Science Solutions
US - NY NYC - 55 WATER ST 40 HRS, United States
USD 100K-149K Senior-level Full Time
Tasks
- Champion data quality initiatives and implement data quality monitoring
- Define and execute disaster recovery and resiliency frameworks
- Define requirements for shared data pipeline capabilities and tooling
- Develop innersource ecosystem strategy
- Develop ontology integration strategy for semantic data
- Drive product strategy for data infrastructure components
- Implement MLOps practices for model lifecycle management
- Lead cross functional teams to deliver data engineering capabilities
Perks/Benefits
- Continuing education program
- Continuous learning
- Family-friendly perks
- Flexible time off
- Health and wellness
- Referral incentive awards
- Retail discounts
- Retirement planning
- Student loan contribution
Skills/Tech-stack
AWS | Agile | Apache Airflow | Apache Spark | Cloud platform | Data Governance | Data Privacy | Data Quality | Data Security | Data quality monitoring | Databricks | Databricks SQL | Delta Lake | DevOps | Development Lifecycle | Google Cloud | Google Cloud Platform | Kafka | Lifecycle Management | MLOps | MLflow | Machine Learning | Machine Learning Model | Machine Learning Model Lifecycle | Machine Learning Model Lifecycle Management | Microsoft Azure | Model Lifecycle Management | Model Monitoring | Quality monitoring | Scrum | Software Development Lifecycle | Software development
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Science | Bachelor of Science in Engineering | Master of Science | PhD
Roles
Regions
Countries
States
Cities
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