Senior Technical Product Manager, Data Engineering & Data Science Solutions
Core
Drive product strategy and roadmap for critical data infrastructure components, including data onboarding, storage solutions, and core platform engines to enable enterprise-scale analytics.
Role type
Senior Technical Product Manager, Data Engineering & Data Science Solutions
Builds
Scalable, enterprise-grade platforms, services, and common capabilities for data engineering and machine learning operations.
Domain
Enterprise data platforms, cloud infrastructure, and machine learning operations (MLOps)
Deliverable
production ML models | product features | infrastructure
Required skills
Product strategy and roadmap definition, cross-functional team leadership, ontology integration strategy, MLOps lifecycle management, innersource ecosystem strategy, data pipeline requirements definition, data quality tool implementation
Preferred skills
Data governance frameworks, regulatory compliance, financial services/fintech domain knowledge, vendor/partner relationship management
Technologies
Databricks (Delta Lake, MLflow, SQL), Apache Spark, Kafka, Airflow, AWS, Azure, Google Cloud Platform
Responsibilities
Drive product strategy for data infrastructure components, lead cross-functional teams to deliver data engineering capabilities, own product vision for disaster recovery frameworks, define ontology integration strategy, collaborate on MLOps practices, develop innersource ecosystem strategy, partner on data pipeline requirements, champion data quality initiatives
Seniority
Senior, hands-on IC
