VP, Data Platforms

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., * 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

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, * 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, For select roles and locations, candidate interviews may be recorded, transcribed and summarized by tools such as artificial intelligence (AI) to assist our hiring managers with the application process.

You will have the opportunity to opt out of recording, transcription, and summarization prior to any scheduled interviews. We will not discriminate against you if you choose to opt out.

During the interview, we will collect the following categories of personal information from or about you: contact information, identifiers, professional and employment-related information, sensory information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment.

Do you have experience in Technology management?, Do you have a Bachelor’s degree?, * 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 Have

• 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

Pulled from the full job description

• Paid parental leave
• Parental leave
• Health insurance
• 401(k) matching
• Vision insurance
• Dental insurance, The target base salary range for this position is 240,000-270,000 The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of LendingClub’s Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings).

We’re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes 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 and more.

The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role’s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role’s success, and remote placement will not be considered. LendingClub offers relocation, based on actual job level.

Time Zone Requirements Primarily PT

While the position will primarily work local hours, LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary.

Travel Requirements As needed travel to LendingClub offices and/or other locations, as needed.