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About the Role

The VP, Data Platforms is responsible for the data platform, infrastructure, governance, and engineering services that power every business at LendingClub. 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. This role will deliver platform capabilities, self-service tooling, and a unified customer data foundation to enable teams to make better decisions faster, champion a data-first culture, shape responsible AI adoption, and transform data into a durable enterprise asset.

Responsibilities

Define and execute the strategy, architecture, and roadmap for enterprise data and AI platforms.
Own the customer data foundation, including canonical data models and the Customer Data Platform (CDP).
Oversee the end-to-end lifecycle of enterprise data, from source-system ingestion through 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 the company’s AI strategy from a data platform perspective, including feature stores, model serving, MLOps, and responsible AI adoption.
Build self-service analytics and activation capabilities.
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.
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.
Ensure platforms meet security, risk management, and regulatory requirements.
Drive data quality, monitoring, and governance programs.
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.
Attract, coach, mentor, and retain exceptional engineering leaders and individual contributors.
Partner with executive leadership to align data and AI investments with company strategy.
Manage strategic vendor relationships, platform investments, and technology spend.
Drive a data-first culture by enabling teams to make faster, better-informed decisions.
Communicate platform strategy, investment priorities, risks, and outcomes to executive leaders and stakeholders.

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 their platform requirements.
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.

Skills

Data Platforms
Data Infrastructure
Data Governance
Data Engineering
Enterprise Data Platforms
Data Products
Public Cloud
Analytics
Machine Learning
Customer Experiences
Operational Decision-Making
Modern Data Architectures
Governance Frameworks
Observability
Metadata Management
AI/ML Platforms
Cloud-based Data Ecosystems
Databricks
dbt
Fivetran
Data Catalogs
Observability Tooling
Modern Data Governance Platforms
Platform Modernization
Cloud Transformation
Production Operations
Reliability Engineering
Incident Management
Platform Support
Product Partnership
Analytics Partnership
Risk Partnership
Compliance Partnership
Business Partnership
Executive Communication
Influencing
Business Objectives Translation
Platform Strategy
Measurable Outcomes
Advanced Analytics
Data Science Workflows
Regulated Industries
Financial Services
Healthcare

Location

San Francisco

Work Type

Hybrid

Experience Level

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

Education Level

Bachelor's degree or higher; or equivalent combination of education and work experience

Salary/Compensations

240,000-270,000

Benefits

Medical, dental and vision plans for employees and their families
401(k) match
Health and wellness programs
Flexible time off policies for salaried employees
Up to 16 weeks paid parental leave

About the Company

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.
To learn more visit us at meethappen.com
Please review LendingClub's Work-related Privacy Disclosure.

Equal Opportunity

LendingClub is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace.
We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics.
We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.
We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process.
If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@lendingclub.com.