VP, Product Management (Data Lakehouse)
Core
Define and execute the vision, strategy, and roadmap for Dynata's enterprise data platform and lakehouse ecosystem to enable high-value business outcomes across analytics, operations, and AI.
Role type
VP, Product Management (Data Platform/Lakehouse)
Builds
Scalable, governed, and reusable data platform supporting internal and external use cases including lakehouse capabilities, federated data access, semantic-based data products, and AI-ready datasets.
Domain
Data Infrastructure & Platform Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Enterprise data platform strategy, lakehouse architecture, data governance, use case prioritization, cross-functional leadership, platform investment planning, stakeholder alignment, team building, business acumen, cloud platform expertise.
Preferred skills
AWS ecosystem experience, data engineering, AI/ML integration, enterprise software ecosystems.
Technologies
Snowflake, Apache ecosystem, Iceberg, Spark, Kafka, Airflow, feature stores, APIs, semantic layers, ontologies, graph analytics.
Responsibilities
Define and execute platform vision and roadmap; align platform investments with business priorities; consolidate overlapping data assets; translate business requirements into scalable platform capabilities; partner with engineering and data science teams; build and scale a product management team.
Seniority
VP, strategic leadership with hands-on execution
