Director, Product Management - Data and Analytics

Lending Club (NYSE: LC) is the world’s largest online marketplace connecting borrowers and investors. Our mission is to transform the banking system to make credit more affordable and investing more rewarding and help people achieve their financial goals. We operate at a lower cost than traditional banks and pass the savings on to borrowers in the form of lower rates and to investors in the form of attractive risk adjusted returns.

Lending Club is looking to hire a Senior Product Manager to be a part of the Product team.

* Work with cross-functional teams to identify and prioritize internal and external customer needs and features * Define the roadmap and Agile queue to ensure engineering productivity and properly set business expectations * Work daily with engineering, finance, risk and other business users to launch great products that internal and external customers love * Research and document product requirements at a level of detail that is appropriate for the given risk and stakeholder needs * Be the Product Owner for an Agile scrum team or two * Create business cases. Analyze the cost and benefits for new features * Lead key projects from concept through planning to development, launch, and post-launch support

**We are looking for people who:** * Are competent, self-directed, and have no ego * Have the ability to dive into complex problems and arrive at well-designed solutions * Are team players – we help each other learn * Appreciate and exhibit strong accountability and ownership * Are intellectually curious with the humility to ask questions * Take a data-centric approach to prioritizing and measuring new features **Requirements:** * Bachelor's Degree or equivalent work experience * Strong candidates will have a minimum of 7 years of Product Management experience at a finance and/or internet company * Experience in online credit, lending, risk management, and payments is helpful * In-depth experience in at least two of the following areas: * Leveraging Big Data and Data Warehousing tools and techniques to generate business value * Using Business Intelligence (Reporting, Basic Analytics, Predictive Analytics and Prescriptive Analytics) to provide actionable insights and stories to business users * Participating in Data Governance and Stewardship activities * Building enterprise software and infrastructure / tools * Financial services product management with particular experience handling accounting and general ledgers * Deep customer focus and experience with researching and determining internal and external customer needs * Highly quantitative, analytical and business-minded. Ability to solve complex problems in an organized way * Comfortable working closely with Engineering and experience with Agile development