VP, Data Platforms

LendingClub•San Francisco, CA

11h•Hybrid

About The Position

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.

Requirements

13+ years of software engineering experience, including 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
Demonstrated experience building and scaling data platforms that support analytics, machine learning, customer experiences, and operational decision-making
Strong understanding of modern data architectures, governance frameworks, observability, metadata management, and AI/ML platforms
Experience building and operating cloud-based data ecosystems using technologies such as Databricks, dbt, Fivetran, data catalogs, observability tooling, and modern data governance platforms
Proven success leading large-scale platform modernization and cloud transformation initiatives
Strong knowledge of production operations, reliability engineering, incident management, and platform support models
Experience partnering with Product, Analytics, Risk, Compliance, and business leaders to deliver enterprise data capabilities
Strong executive communication skills with the ability to influence business, technology, and regulatory stakeholders
Demonstrated ability to translate business objectives into platform strategy and measurable outcomes
Hands-on familiarity with advanced analytics, machine learning, and data science workflows and the platform requirements they impose
Experience operating within highly regulated industries such as financial services, healthcare, or similar environments
Bachelor's degree or higher; or equivalent combination of education and work experience

Nice To Haves

Experience working in both high-growth organizations and large-scale enterprises
Understanding of consumer financial products, personal financial management, or regulated marketing environments
Experience leading enterprise AI enablement initiatives and modern data platform transformations
Experience supporting highly regulated consumer products and operating within complex compliance and governance frameworks

Responsibilities

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
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
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
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
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
Communicate platform strategy, investment priorities, risks, and outcomes to executive leaders, business stakeholders, and regulators