AVP, Data Platform Engineering
Core
Strategic and technical leadership for enterprise data platforms, analytics, AI-enabled solutions, and Third-Party Data enablement.
Role type
Senior IC/Lead Data Platform Engineering
Builds
Scalable, secure, and reliable enterprise data platforms supporting analytics, AI, and external data consumption
Domain
Insurance / Enterprise Data Engineering & AI
Deliverable
production ML models | infrastructure
Required skills
Enterprise data platform architecture, Cloud data engineering (Snowflake, Spark, BigQuery), Third-Party Data lifecycle management, AI-ready data foundations (RAG, vector search), Analytics platform modernization, Organizational transformation, Distributed team leadership
Preferred skills
Google Cloud Platform expertise, Snowflake modernization, Semantic layer/Knowledge graph implementation, Global engineering leadership, Regulated industry experience
Technologies
Snowflake, Spark, Google BigQuery, Dataproc, Dataflow, Informatica IDMC, Tableau, ThoughtSpot, Snowflake Cortex, Gemini Enterprise
Responsibilities
Define multi-year strategy for enterprise data platforms and AI capabilities; Lead engineering teams for platform modernization and cloud adoption; Establish engineering standards for data ingestion, orchestration, and security; Enable self-service analytics and AI-assisted insight generation; Drive Third-Party Data acquisition, integration, and governance; Mentor high-performing engineering leaders across global teams
Seniority
Senior, hands-on IC with leadership scope