VP, Business Data Delivery (San Francisco)

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, Business Data Delivery is responsible for delivering trusted, business-ready data products that power decision-making across Happen Bank —from Marketing, Personal Loans, Deposits, Credit Risk, Fraud, Operations, and Compliance.This leader owns the data engineering, analytics engineering, data product management, and customer data delivery capabilities that translate business priorities into measurable outcomes. Partnering closely with business leaders and the VP, Data Platforms, this role defines how customer, product, and operational data is transformed into actionable insights, analytics, AI-enabled experiences, and decisioning capabilities.Driven by Happen Bank’s mission of improving the financial health of everyday Americans, the VP will build a data-driven culture, shape the company’s customer data strategy, and lead the teams responsible for turning data into measurable business value.What You'll DoBusiness Data Strategy & Product DeliveryDefine and execute the strategy and roadmap for business-facing data products that support Marketing, Lending, Credit Risk, Fraud, Operations, Deposits, and ComplianceLead the delivery organization across Data Engineering, Analytics Engineering, Data Product Management, and Data SciencePartner with business leaders to translate strategic priorities into scalable data products and measurable outcomesEstablish operating models that ensure data investments align with business value, adoption, and business outcomesLead the Data Product Management practice, including intake management, prioritization frameworks, delivery governance, and the operating model between business stakeholders and delivery teamsCustomer Data & ActivationOwn the end-to-end customer data product strategy, including customer, product, and behavioral data integrationDeliver trusted customer data capabilities that power marketing activation, personalization, credit and fraud decisioning, collections strategy, and operational intelligenceLead Customer Data Platform (CDP) initiatives, identity resolution capabilities, and downstream activation across business functionsPartner with business teams to evolve the customer data strategy and ensure a unified customer view across the enterpriseAnalytics, AI & Business InsightsDefine the strategy for business-facing analytics, AI enablement, and self-service data productsLead analytics initiatives that directly support business outcomes and prepare data products for AI and machine learning use casesDrive adoption of AI-assisted data discovery, automated insight generation, and GenAI-powered self-service capabilitiesEnable advanced analytics and machine learning through high-quality, business-ready data products that accelerate decision-makingData Quality, Governance & Delivery ExcellenceEstablish standards for data quality, certification, testing, QA, and governance throughout the data product lifecycleEnsure business confidence in data products through robust validation, monitoring, and delivery processesPartner closely with the VP, Data Platforms to align delivery capabilities with platform strategy, architecture, and engineering standardsPromote strong data practices and ensure data requirements are incorporated early in product and business planning processesLeadership & Business PartnershipBuild a data-driven culture by embedding data product management and analytics capabilities close to the business and holding teams accountable for outcomes, not outputLead and develop high-performing teams across Data Engineering, Analytics Engineering, Data Product Management, and Data ScienceFoster a culture of accountability, innovation, collaboration, and continuous improvementAttract, coach, mentor, and retain exceptional technical, analytical, and product talentServe as a trusted advisor to executive leadership on data strategy, customer data, analytics, and AI opportunitiesAbout You13+ years of data engineering, analytics engineering, data product management, or related technology experience, including 10+ years leading and developing teams across data engineering, analytics, and data product management5+ years leading large-scale data products, customer data platforms, analytics organizations, or business-facing data delivery functions in a public cloud environmentDemonstrated experience building data products and services that support customer experiences, marketing activation, credit decisioning, fraud detection, operations, and business intelligenceExperience leading customer data delivery, Customer Data Platform programs, identity resolution capabilities, and downstream activation use casesStrong understanding of modern data architectures, customer data platforms, analytics ecosystems, and data product operating modelsExperience leading Data Engineering, Analytics Engineering, Data Product Management, or Data Science organizationsAbility to translate business objectives into data product strategies and measurable outcomesStrong executive communication skills with the ability to influence business, technology, and regulatory stakeholdersExperience promoting data literacy and building data-driven cultures across technical and non-technical organizationsStrong understanding of modern data tooling and ecosystems, including lakehouse platforms (Databricks preferred), transformation tooling (dbt), BI platforms (Tableau), and cloud-native data architecturesHands-on familiarity with advanced analytics, machine learning, and AI-enabled business capabilitiesExperience operating within highly regulated industries such as financial services, healthcare, or similar environmentsAbility to deliver value quickly and incrementally while balancing strategic objectives and business prioritiesBachelor's degree or higher, or equivalent combination of education and experienceNice to HaveExperience working in both high-growth organizations and large-scale enterprisesUnderstanding of consumer financial products, personal financial management, lending, deposits, fraud, or risk domainsExperience building data products for credit risk, fraud, collections strategy, marketing, or operations analyticsExperience with AWS and modern cloud-native data ecosystemsExperience leading enterprise AI enablement initiatives and modern data product transformationsProven ability to attract, hire, and develop exceptional technical and product talentWork 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 apply.placed-app.com. 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