Head of Data Delivery & Strategy

LendingClub; San Francisco (CA); Hybrid; USD 240,000 - 270,000; Full time

Job summary

Happen Bank, headquartered in California, seeks a seasoned data leader to define and drive the data strategy across marketing, lending, risk, fraud, operations, and compliance. You’ll lead Data Engineering, Analytics Engineering, Data Product Management, and Data Science to deliver impactful data products that unlock business value.

You will own end-to-end customer data strategy, enable marketing activation, credit decisioning, and AI-powered insights while building a high-performing,

Qualifications

• 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
• 5+ years leading large-scale data products, customer data platforms, analytics organizations, or business-facing data delivery functions in a public cloud environment
• Experience building data products and services that support 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 experience

Responsibilities

• Define and execute the strategy and roadmap for business-facing data products that support Marketing, Lending, Credit Risk, Fraud, Operations, Deposits, and Compliance
• 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 that ensure data investments align with business value, adoption, and business outcomes
• Lead the Data Product Management practice, including intake management, prioritization frameworks, delivery governance, and the operating model between business stakeholders and delivery teams
• Own the end-to-end customer data product strategy, including customer, product, and behavioral data integration
• Deliver trusted customer data capabilities that power marketing activation, personalization, credit and fraud decisioning, collections strategy, and operational intelligence
• Lead Customer Data Platform (CDP) initiatives, identity resolution capabilities, and downstream activation across business functions
• Define the strategy for business-facing analytics, AI enablement, and self-service data products
• Lead analytics initiatives that directly support business outcomes and prepare data products for AI and machine learning 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 that accelerate decision-making
• Establish standards for data quality, certification, testing, QA, and governance throughout the data product lifecycle
• Ensure business confidence in data products through robust validation, monitoring, and delivery processes
• Partner closely with the VP, Data Platforms to align delivery capabilities with platform strategy, architecture, and engineering standards
• Promote strong data practices and ensure data requirements are incorporated early in product and business planning processes
• Build a data-driven culture by embedding data product management and analytics capabilities close to the business and holding teams accountable for outcomes
• 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
• Build data products for credit risk, fraud, collections, marketing, or operations analytics

Skills

Data engineering

Analytics engineering

Data product management

Data science

Education

Bachelor’s degree or higher

Tools

Databricks

dbt

Tableau

AWS

Job description

Happen Bank, headquartered in California, seeks a seasoned data leader to define and drive the data strategy across marketing, lending, risk, fraud, operations, and compliance. You’ll lead Data Engineering, Analytics Engineering, Data Product Management, and Data Science to deliver impactful data products that unlock business value.

You will own end-to-end customer data strategy, enable marketing activation, credit decisioning, and AI-powered insights while building a high-performing,