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.
Role type
Senior Technical Product Manager, Data Engineering & Data Science Solutions
Builds
Scalable, enterprise-grade platforms, services, and common capabilities for data engineering and analytics.
Domain
Enterprise data platforms, cloud infrastructure, and machine learning operations.
Required skills
Product management for data platforms, Databricks (Delta Lake, MLflow, SQL), Apache Spark, Kafka, Airflow, cloud data platforms (AWS/Azure/GCP), MLOps, SDLC methodologies, technical product specification translation.
Preferred skills
Data governance frameworks, regulatory compliance, financial services/fintech background, cross-functional team leadership, vendor/partner relationship management.
Technologies
Databricks, Delta Lake, MLflow, Databricks SQL, Apache Spark, Kafka, Airflow, AWS, Azure, Google Cloud Platform
Responsibilities
Drive product strategy and roadmap for critical data infrastructure components; Lead cross-functional teams to deliver data engineering capabilities and data quality solutions; Define and execute an ontology integration strategy; Collaborate with engineering teams to implement MLOps practices; Develop and maintain an innersource ecosystem strategy; Partner with stakeholders to define requirements for common data pipeline capabilities; Champion data quality initiatives and drive technical implementation of monitoring solutions.
Seniority
Senior, hands-on IC