Top Data & Analytics Jobs in San Francisco, CA

Lead enterprise data architecture across batch and streaming platforms, warehouses, lakehouses, OLAP, OLTP, and AI-enabled use cases. Establish standards for data quality, governance, lineage, access control, cataloging, observability, and SLAs. Serve as a technical escalation point, influence cross-functional roadmaps, guide AI-supported workflows, and mentor engineers through hands-on technical leadership.

Design, build, and optimize BigQuery-based data models and ETL processes on GCP. Implement BigQuery procedures/functions, manage storage/partitioning/clustering, ensure data quality, collaborate with data scientists and engineers, document designs, and improve data lifecycle and reporting performance.

Lead product analytics end-to-end: define metrics and measurement frameworks, analyze user behavior and product performance, build dashboards and self-service analytics, synthesize internal and market data, and deliver strategic recommendations to influence product roadmap and business outcomes while partnering cross-functionally.

Lead and build a product analytics function, define KPI and instrumentation standards, and deliver self-service analytics using Pendo, BigQuery, and Tableau. Partner across Product, Engineering, Data, and GTM to surface product insights, embed measurement into lifecycle, influence roadmap priorities, and scale AI-powered analytics capabilities while growing a high-performing team.

Design and govern large-scale data architecture (warehouses, lakehouses, streaming), define standards for data quality, modeling, governance, and observability, embed AI/agent workflows, mentor engineers, and influence cross-functional roadmaps to enable scalable, production-grade data and analytics capabilities.

Lead and operationalize the data governance program, including stewardship adoption, data lifecycle controls, metadata/catalog management, data quality improvements, training, KPI tracking, and cross-functional issue resolution.