VP, Data Platforms
$240,000–$270,000 year
Hybrid · San Francisco, California, United States
Job Summary
VP, Data Platforms responsible for the data platform, infrastructure, governance, and engineering services powering LendingClub’s business lines. Own the strategy, architecture, and operation of enterprise data and AI platforms to enable analytics, machine learning, operational decisioning, and business intelligence. Drive governance, reliability, and compliance, lead Data Engineering, Platform Engineering, and ML enablement, and partner with Product, Analytics, Risk, and business leaders to translate objectives into scalable platform capabilities. The role requires senior leadership and hands-on experience in modern cloud data ecosystems, with familiarity in Databricks, dbt, Fivetran, data catalogs, and AI/ML workflows. The position is based in San Francisco with a hybrid in-office schedule (in-person Tue–Thu). Relocation is offered based on job level. Travel as needed. The ideal candidate will have strong executive communication, experience operating within highly regulated financial services environments, and a track record of delivering enterprise data capabilities that accelerate decision-making while maintaining compliance. About You sections indicate 13+ years of software engineering, 10+ years leading engineering teams, and leadership of data platforms in cloud environments, plus experience with governance, SRE, and production support. The role emphasizes data-first culture, responsible AI, collaboration across executive leadership, and the ability to drive measurable outcomes.
Required Qualifications
- 13+ years of software engineering experience
- 10+ years leading and developing engineering teams
- 5+ years of experience leading enterprise data platforms, data products, or data engineering organizations in a public cloud environment
- Strong understanding of modern data architectures, governance, observability, metadata management, and AI/ML platforms
- Experience building and operating cloud-based data ecosystems with Databricks, dbt, Fivetran, data catalogs, observability tooling, and modern data governance platforms
- Proven success leading large-scale platform modernization and cloud transformation
- Bachelor's degree or higher; or equivalent combination of education and work experience
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