VP, Data Platforms

Current Employees of Happen Bank: Please apply via your internal Workday AccountHappen 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 RoleThe 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 DoData Platform Strategy & ArchitectureDefine and execute the strategy, architecture, and roadmap for Happen Bank's enterprise data and AI platformsOwn 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 ComplianceOversee the end-to-end lifecycle of enterprise data, from source-system ingestion through canonical modeling, certified marts, and BI / AI consumptionLead modernization of the data ecosystem while balancing business priorities, platform resiliency, and long-term scalabilityBuild platform capabilities that support analytics, operational decisioning, customer experiences, experimentation, and AI-powered productsAI & Data EnablementShape Happen Bank's AI strategy from a data platform perspective, including feature stores, model serving, MLOps, and responsible AI adoption in a regulated environmentBuild self-service analytics and activation capabilities that enable teams to access trusted data without requiring engineering interventionPartner with Product, Analytics, and business leaders to translate business needs into scalable platform capabilitiesEnable AI and machine learning teams through robust data, platform, and governance capabilities that accelerate innovation while maintaining compliance and risk standardsGovernance, Reliability & ComplianceEstablish enterprise standards for data governance, Critical Data Elements (CDEs), metadata, lineage, quality, privacy, and regulatory complianceLead Data SRE, observability, resiliency, production support, and operational excellence initiatives that ensure secure, reliable, and scalable platform operationsEnsure platforms meet security, risk management, and regulatory requirements appropriate for a digital bankDrive data quality, monitoring, and governance programs that support trusted business and regulatory reportingEngineering LeadershipLead and develop high-performing teams across Data Engineering, Platform Engineering, Governance & Enablement, ML Platform, and Production SupportFoster a culture of accountability, innovation, operational excellence, and continuous improvementBuild organizational capabilities, succession plans, and leadership pipelines that support long-term growthAttract, coach, mentor, and retain exceptional engineering leaders and individual contributorsBusiness & Executive PartnershipPartner with executive leadership to align data and AI investments with company strategy and measurable business outcomesManage strategic vendor relationships, platform investments, and technology spend to ensure efficient delivery and responsible economicsDrive a data-first culture by enabling teams across the organization to make faster, better-informed decisionsCommunicate platform strategy, investment priorities, risks, and outcomes to executive leaders, business stakeholders, and regulatorsAbout You13+ years of software engineering experience, including 10+ years leading and developing engineering teams5+ years of experience leading enterprise data platforms, data products, or data engineering organizations in a public cloud environmentDemonstrated experience building and scaling data platforms that support analytics, machine learning, customer experiences, and operational decision-makingStrong understanding of modern data architectures, governance frameworks, observability, metadata management, and AI/ML platformsExperience building and operating cloud-based data ecosystems using technologies such as Databricks, dbt, Fivetran, data catalogs, observability tooling, and modern data governance platformsProven success leading large-scale platform modernization and cloud transformation initiativesStrong knowledge of production operations, reliability engineering, incident management, and platform support modelsExperience partnering with Product, Analytics, Risk, Compliance, and business leaders to deliver enterprise data capabilitiesStrong executive communication skills with the ability to influence business, technology, and regulatory stakeholdersDemonstrated ability to translate business objectives into platform strategy and measurable outcomesHands-on familiarity with advanced analytics, machine learning, and data science workflows and the platform requirements they imposeExperience operating within highly regulated industries such as financial services, healthcare, or similar environmentsBachelor's degree or higher, or equivalent combination of education and experienceNice to Have Experience working in both high-growth organizations and large-scale enterprisesUnderstanding of consumer financial products, personal financial management, or regulated marketing environmentsExperience leading enterprise AI enablement initiatives and modern data platform transformationsExperience supporting highly regulated consumer products and operating within complex compliance and governance frameworksWork Location San FranciscoThe 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. Happen Bank offers relocation, based on actual job level. Time Zone Requirements Primarily PTWhile the position will primarily work local hours, Happen Bank is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary.Travel Requirements As needed travel to Happen Bank offices and/or other locations, as needed. Compensation 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 Happen Bank’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. #LI-Hybrid #LI-HB1 Happen Bank 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 View email address on click.appcast.io. Notice on AI Tool Use 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.We will only share your interview, transcription, or summary with persons whose expertise or technology is necessary to process your application, evaluate your fitness for a position, and administer or support the tool. We will not sell your personal information or disclose it to any third party for their marketing purposes. For more information about how we will handle your personal information, please refer to our Privacy Disclosure.We will delete any recording of your interview promptly but in no event later than 30 days after making a hiring decision.SummaryLocation: San Francisco, CAType: Full time