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About the Role

The VP, Business Data Delivery is responsible for delivering trusted, business-ready data products that power decision-making across LendingClub. This leader owns data engineering, analytics engineering, data product management, and customer data delivery capabilities. They will partner closely with business leaders and the VP, Data Platforms to define how customer, product, and operational data is transformed into actionable insights, analytics, AI-enabled experiences, and decisioning capabilities. The VP will build a data-driven culture, shape the company’s customer data strategy, and lead teams responsible for turning data into measurable business value.

Responsibilities

Define and execute the strategy and roadmap for business-facing data products supporting various departments.
Lead the delivery organization across Data Engineering, Analytics Engineering, Data Product Management, and Data Science.
Partner with business leaders to translate strategic priorities into scalable data products and measurable outcomes.
Establish operating models ensuring data investments align with business value, adoption, and outcomes.
Lead the Data Product Management practice, including intake management, prioritization, and governance.
Own the end-to-end customer data product strategy, including data integration.
Deliver trusted customer data capabilities for marketing activation, personalization, credit and fraud decisioning, collections strategy, and operational intelligence.
Lead Customer Data Platform (CDP) initiatives, identity resolution, and downstream activation.
Partner with business teams to evolve the customer data strategy and ensure a unified customer view.
Define the strategy for business-facing analytics, AI enablement, and self-service data products.
Lead analytics initiatives supporting business outcomes and prepare data products for AI/ML use cases.
Drive adoption of AI-assisted data discovery, automated insight generation, and GenAI-powered self-service capabilities.
Enable advanced analytics and machine learning through high-quality, business-ready data products.
Establish standards for data quality, certification, testing, QA, and governance.
Ensure business confidence in data products through robust validation, monitoring, and delivery processes.
Partner with the VP, Data Platforms to align delivery capabilities with platform strategy and standards.
Promote strong data practices and ensure data requirements are incorporated early in planning processes.
Build a data-driven culture by embedding data product management and analytics capabilities close to the business.
Lead and develop high-performing teams across Data Engineering, Analytics Engineering, Data Product Management, and Data Science.
Foster a culture of accountability, innovation, collaboration, and continuous improvement.
Attract, coach, mentor, and retain exceptional technical, analytical, and product talent.
Serve as a trusted advisor to executive leadership on data strategy, customer data, analytics, and AI opportunities.

Requirements

13+ years of data engineering, analytics engineering, data product management, or related technology experience.
10+ years leading and developing teams across data engineering, analytics, and data product management.
5+ years leading large-scale data products, customer data platforms, analytics organizations, or business-facing data delivery functions in a public cloud environment.
Demonstrated experience building data products and services supporting customer experiences, marketing activation, credit decisioning, fraud detection, operations, and business intelligence.
Experience leading customer data delivery, Customer Data Platform programs, identity resolution capabilities, and downstream activation use cases.
Strong understanding of modern data architectures, customer data platforms, analytics ecosystems, and data product operating models.
Experience leading Data Engineering, Analytics Engineering, Data Product Management, or Data Science organizations.
Ability to translate business objectives into data product strategies and measurable outcomes.
Strong executive communication skills with the ability to influence business, technology, and regulatory stakeholders.
Experience promoting data literacy and building data-driven cultures across technical and non-technical organizations.
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.
Experience operating within highly regulated industries such as financial services, healthcare, or similar environments.
Ability to deliver value quickly and incrementally while balancing strategic objectives and business priorities.
Bachelor's degree or higher; or equivalent combination of education and work experience.

Skills

Data Engineering
Analytics Engineering
Data Product Management
Data Science
Customer Data Platforms (CDP)
Identity Resolution
Data Quality
Data Governance
AI Enablement
Machine Learning
Databricks
dbt
Tableau
Cloud-native data architectures

Location

San Francisco

Work Type

Hybrid

Experience Level

13+ years of experience
10+ years of leadership experience
5+ years of leadership experience in specific areas

Education Level

Bachelor's degree or higher

Salary/Compensations

240,000-270,000

Benefits

Medical, dental and vision plans
401(k) match
Health and wellness programs
Flexible time off policies
Up to 16 weeks paid parental leave

About the Company

LendingClub (soon to be Happen Bank) is built around a simple purpose: to clear the way to help people turn intention into action, and action into financial progress.
They offer focused products, a frictionless mobile-first experience, and clear terms with no gotchas.
Respect and fairness is part of their DNA, shaping how they work, treat each other, and invest in employees and the community.
They use data, bold thinking, and a commitment to innovation to help clear the way for millions of Americans to achieve more.
To learn more visit us at meethappen.com

Equal Opportunity

LendingClub is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace.
They 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.
They believe that a variety of perspectives will make their teams and business stronger.
They are committed to providing reasonable accommodations for qualified individuals with disabilities in their job application process.