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 solutions
- Collaborate to implement MLOps practices for machine learning operations
- Define and execute ontology integration strategy
- Define requirements for common data pipeline capabilities and shared tooling
- Develop and maintain innersource ecosystem strategy
- Drive product strategy and roadmap for data infrastructure components
- Lead cross functional teams to deliver data engineering capabilities
- Own product vision for disaster recovery and resiliency frameworks
Perks/Benefits
- Continuing education program
- Continuous learning
- Family-friendly perks
- Financial wellness programs
- Flexible time off
- Health care coverage
- Referral incentive awards
- Retail discounts
- Retirement planning
- Student loan contribution
Skills/Tech-stack
AWS | Agile | Airflow | Apache Spark | Azure | Cloud platform | Data Governance | Data Privacy | Data Security | Databricks | Delta Lake | DevOps | Development Life Cycle | Google Cloud | Google Cloud Platform | Kafka | MLOps | MLflow | Model Deployment | Model Monitoring | SQL | Scrum | Software Development Life Cycle | Software development
Regions
Countries
States
Cities
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