VP, Data Platforms

Current Employees of LendingClub: Please apply via your internal Workday Account

LendingClub (soon to be Happen Bank) is built around a simple purpose: to clear the way to help people turn intention into action, and action into financial progress. That means offering focused products, a frictionless mobile-first experience, and clear terms with no gotchas. Respect and fairness is part of our DNA, and that ideal shapes how we work, how we treat each other, and how we invest in our employees and our community. Join us in using data, bold thinking, and a commitment to innovation to help clear the way for millions of Americans to achieve more.

About the Role

The VP, Data Platforms is responsible for the data platform, infrastructure, governance, and engineering services that power every business at LendingClub—from Marketing, Personal Loans, Deposits, Credit Risk, Fraud, Operations, and Compliance.

This leader owns the strategy, architecture, and operation of LendingClub’s enterprise data and AI platforms, ensuring secure, scalable, and reliable capabilities that power analytics, machine learning, operational decisioning, and business intelligence across the company.

Driven by LendingClub’s mission of improving the financial health of everyday Americans, this role will deliver the platform capabilities, self-service tooling, and unified customer data foundation that enable teams to make better decisions faster. The VP will be a champion of a company-wide data-first culture, a key shaper of responsible AI adoption in a regulated environment, and an engineering leader who transforms data into a durable enterprise asset.

What You'll Do

Data Platform Strategy & Architecture

• Define and execute the strategy, architecture, and roadmap for LendingClub’s enterprise data and AI platforms
• Own the customer data foundation, including canonical data models and the Customer Data Platform (CDP), enabling a trusted single source of truth across Marketing, Lending, Credit Risk, Fraud, Operations, and Compliance
• Oversee the end-to-end lifecycle of enterprise data, from source-system ingestion through canonical modeling, certified marts, and BI / AI consumption
• Lead modernization of the data ecosystem while balancing business priorities, platform resiliency, and long-term scalability
• Build platform capabilities that support analytics, operational decisioning, customer experiences, experimentation, and AI-powered products

AI & Data Enablement

• Shape LendingClub’s AI strategy from a data platform perspective, including feature stores, model serving, MLOps, and responsible AI adoption in a regulated environment
• Build self-service analytics and activation capabilities that enable teams to access trusted data without requiring engineering intervention
• Partner with Product, Analytics, and business leaders to translate business needs into scalable platform capabilities
• Enable AI and machine learning teams through robust data, platform, and governance capabilities that accelerate innovation while maintaining compliance and risk standards

Governance, Reliability & Compliance

• Establish enterprise standards for data governance, Critical Data Elements (CDEs), metadata, lineage, quality, privacy, and regulatory compliance
• Lead Data SRE, observability, resiliency, production support, and operational excellence initiatives that ensure secure, reliable, and scalable platform operations
• Ensure platforms meet security, risk management, and regulatory requirements appropriate for a digital bank
• Drive data quality, monitoring, and governance programs that support trusted business and regulatory reporting

Engineering Leadership

• Lead and develop high-performing teams across Data Engineering, Platform Engineering, Governance & Enablement, ML Platform, and Production Support
• Foster a culture of accountability, innovation, operational excellence, and continuous improvement
• Build organizational capabilities, succession plans, and leadership pipelines that support long-term growth
• Attract, coach, mentor, and retain exceptional engineering leaders and individual contributors

Business & Executive Partnership

• Partner with executive leadership to align data and AI investments with company strategy and measurable business outcomes
• Manage strategic vendor relationships, platform investments, and technology spend to ensure efficient delivery and responsible economics
• Drive a data-first culture by enabling teams across the organization to make faster, better-informed decisions
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