VP, Data Platforms

Current Employees of Happen Bank: Please apply via your internal Workday Account Happen Bank (formerly LendingClub) 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 Happen Bank —from Marketing, Personal Loans, Deposits, Credit Risk, Fraud, Operations, and Compliance. This leader owns the strategy, architecture, and operation of Happen Bank’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 Happen Bank’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 Happen Bank'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 Happen Bank'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 Communicate platform strategy, investment priorities, risks, and outcomes to executive leaders, business stakeholders, and regulators About You 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 advanc