<h3>Current Employees of LendingClub: Please apply via your internal Workday Account</h3>LendingClub Corporation (NYSE: LC) is the parent company of LendingClub Bank, National Association, Member FDIC. We are the leading digital marketplace bank in the U.S., having helped our nearly 5 million members secure over $90 billion in loans to refinance high-cost debt and achieve their financial goals. Members today have mobile-first access to a growing range of products and services designed to work seamlessly together to deliver value in new ways. Everyone deserves a better financial future, and our team is committed to making that a reality. Join the Club!<h2></h2><h2>About the Role</h2>At LendingClub, our mission is to empower individuals on their journey to better financial health. As part of this mission, the Big Data and Analytics Platform team is building the foundation for a data-driven marketing ecosystem. We are seeking a Marketing Data &amp; Analytics Architect to lead the design and development of scalable, compliant, and high-impact marketing data infrastructure and analytics capabilities. You will enable business teams to derive value from data for all marketing use cases. You will enable the journey to leverage the cutting-edge analytics and data architecture for marketing at LendingClub. You will enable LendingClub to fulfil our vision of being a data-driven company.<h2></h2><h2>What Youll Do</h2><div><div><ul><li>Define and evolve the MarTech reference architecture to support campaign execution, personalization, performance measurement, experimentation, and advanced analytics </li><li>Architect data pipelines and analytics capabilities that enable full-funnel marketing measurement, including acquisition, retention, conversion, and ROI tracking </li><li>Collaborate with marketing analytics and data science teams to develop predictive models and machine learning solutions that optimize Return on Marketing Investment (ROMI) </li><li>Design instrumentation and data flows to capture KPIs such as marketing attribution, channel effectiveness, and campaign ROI </li><li>Embed data governance, privacy compliance, scale, quality, and monitoring into the marketing data architecture to ensure secure and auditable data practices </li><li>Build and maintain marketing data warehouses, marts, and self-service analytics tools that serve as a single source of truth for business stakeholders </li><li>Standardize enterprise-wide marketing taxonomy and unify spend ingestion across agencies and platforms with finance-grade reconciliation </li><li>Partner with Marketing, Risk, Legal, Security, and Compliance teams to align marketing data architecture with business goals, their needs, and regulatory requirements </li><li>Architect infrastructure to support audience segmentation, A/B testing, recommendation engines, and real-time personalization </li><li>Ensure scalability, data quality, rapid time-to-market, and cost-efficiency across marketing data systems </li><li>Evaluate emerging technologies, including GenAI and marketing automation platforms, data and analytics eco-system, to identify opportunities for innovation and competitive advantage </li><li>Maintain a comprehensive understanding of the marketing tech stack to guide strategic decisions on build vs. buy </li><li>Lead the design of marketing data flow architecture and data modelling to enable analytics by channels, networks, segments, products, campaigns, cohorts, and eligibility to meet or exceed our performance goals </li><li>Hold yourself accountable for LendingClub’s origination targets </li><li>Ensure that the modern data and analytics stack enable ad-hoc analysis, observability, reports, feeds, and dashboards for marketing </li><li>Identify, design, and implement internal process improvements to achieve automation, optimization, reduction of cost and improvement in time to delivery of marketing data products </li><li>Evangelize will evangelize the modern data and analytics stack across all marketing business units in LendingClub </li></ul></div></div><h2></h2><h2>About You</h2><div><ul><li>12+ years of professional experience, including 8+ years of deep expertise in all these areas: big data, analytics technologies, and modern marketing data stacks </li><li>Bachelor’s degree or higher in Computer Science or related field; or equivalent work experience </li><li>Proven experience architecting and delivering complex data platforms that power marketing analytics, personalization, and funnel optimization </li><li>Strong background in OLTP and OLAP systems at scale, with hands-on experience in Spark (7+ years), Databricks, and/or Snowflake </li><li>Skilled in building and supporting MarTech ecosystems, including CDPs, audience activation, and attribution-ready data </li><li>Experience applying machine learning to marketing or customer data use cases </li><li>Advanced knowledge of cloud platforms (preferably AWS) and modern data pipelines (Hive, Kafka a plus) </li><li>Comfortable in Agile environments with CI/CD, source control, and automated testing best practices </li><li>Passionate about big data, cloud, and enabling data-driven marketing strategies </li><li>Collaborate with cross-functional teams (Marketing, Engineering, and Data), providing strong technical leadership and fostering innovation, collaboration, and accountability </li><li>Curiosity, empathy, and a passion for data—delivering simple, elegant solutions that make a measurable impact </li></ul></div><div> </div><div>Work Location   San Francisco    The 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. LendingClub offers relocation, based on actual job level.     Time Zone Requirements   Primarily PT    While the position will primarily work local hours, LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary.    Travel Requirements   As needed travel to LendingClub offices and/or other locations, as needed.     Compensation   The target base salary range for this position is 210,000-247,000. 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 LendingClub’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 #LI-Hybrid #LI-JH1 </div> LendingClub 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 interviewaccommodations@lendingclub.com.

Lending Club

Data Architect, MarTech San Francisco, CA

Lending Club