Vice President of Business Data Delivery

Join LendingClub as the Vice President of Business Data Delivery, where you will be responsible for delivering trusted, business-ready data products that drive decision-making across various departments. You will lead the data engineering, analytics engineering, data product management, and customer data delivery capabilities, translating business priorities into measurable outcomes. This role requires a strong understanding of modern data tooling and ecosystems, as well as experience in leading data delivery functions in a public cloud environment.

• Definir y ejecutar la estrategia y la hoja de ruta para los productos de datos orientados al negocio que apoyan diversas áreas de la empresa.
• Liderar la organización de entrega a través de la Ingeniería de Datos, la Ingeniería de Análisis, la Gestión de Productos de Datos y la Ciencia de Datos.
• Establecer modelos operativos que aseguren que las inversiones en datos se alineen con el valor comercial, la adopción y los resultados comerciales.
• Ability to translate business objectives into data product strategies and measurable outcomes
• Strong understanding of modern data tooling and ecosystems, including lakehouse platforms (Databricks preferred), transformation tooling (dbt), BI platforms (Tableau), and cloud-native data architectures
• Hands-on familiarity with advanced analytics, machine learning, and AI-enabled business capabilities
• Bachelor's degree or higher; or equivalent combination of education and work experience
• Experience leading customer data delivery, Customer Data Platform programs, identity resolution capabilities, and downstream activation use cases
• Experience leading Data Engineering, Analytics Engineering, Data Product Management, or Data Science organizations
• Experience operating within highly regulated industries such as financial services, healthcare, or similar environments
• 13+ 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 management
• Experience promoting data literacy and building data-driven cultures across technical and non-technical organizations
• 5+ years leading large-scale data products, customer data platforms, analytics organizations, or business-facing data delivery functions in a public cloud environment
• Ability to deliver value quickly and incrementally while balancing strategic objectives and business priorities
• Strong understanding of modern data architectures, customer data platforms, analytics ecosystems, and data product operating models
• Strong executive communication skills with the ability to influence business, technology, and regulatory stakeholders
• Demonstrated experience building data products and services that support customer experiences, marketing activation, credit decisioning, fraud detection, operations, and business intelligence
• Experience working in both high-growth organizations and large-scale enterprises
• Experience building data products for credit risk, fraud, collections strategy, marketing, or operations analytics
• Understanding of consumer financial products, personal financial management, lending, deposits, fraud, or risk domains
• Experience with AWS and modern cloud-native data ecosystems
• Experience leading enterprise AI enablement initiatives and modern data product transformations
• Proven ability to attract, hire, and develop exceptional technical and product talent