• 4+ years of product management experience in a data-driven environment, preferably within the banking, financial services, or fintech industry
• Bachelor's or master's degree in business, Marketing, Data Science, or a related field; or equivalent work experience
• Demonstrated experience working with marketing data, analytics, and technology platforms (e.g., Google Analytics, Salesforce, Tableau, etc.)
• Strong understanding of customer segmentation, personalization, and digital marketing strategies
• Proven ability to translate business needs into technical product requirements and actionable insights
• Excellent communication skills with the ability to collaborate across diverse teams and present findings to senior leadership
• Experience working with big data, machine learning models, and advanced analytics in a marketing context
• Familiarity with marketing automation tools, CRM platforms, and customer journey analytics
• Proficient in SQL and data visualization tools such as Tableau, Power BI, or Looker
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is a plus

Desirable

• We are seeking a dynamic and data-driven Product Manager to join our Data Intelligence Product team at LendingClub
• The ideal candidate will manage the strategy, development, and execution of marketing data products, ensuring alignment with overall business objectives and driving the use of data to inform marketing decisions and improve customer engagement
• You will collaborate with cross-functional teams, including marketing, data science, analytics, and engineering, to build data solutions that enhance the bank's marketing capabilities and support business growth
• Data Product Development:
• Define and drive the development of marketing data products (e.g., customer segmentation models, campaign tracking tools, and marketing dashboards) that enable the bank to optimize customer engagement and acquisition strategies
• Translate marketing and business objectives into detailed product requirements, data models, and KPIs
• Prioritize and manage product features and functionality, aligning them with business objectives and timelines
• Data Strategy:
• Develop and maintain a comprehensive understanding of customer data to guide marketing strategies
• Ensure the quality, accuracy, and availability of data required for decision-making across marketing campaigns and product initiatives
• Market & Technology Awareness:
• Stay up to date on the latest trends in data science, marketing technologies, and financial services, applying insights to drive product innovation
• Evaluate and recommend emerging tools, platforms, or solutions to enhance marketing data capabilities
• Stakeholder Collaboration:
• Partner with marketing, data science, and engineering teams to develop and enhance data-driven solutions for targeting, personalization, and optimization of marketing efforts
• Liaise with legal and compliance teams to ensure data usage aligns with regulatory standards and industry best practices (e.g., GDPR, CCPA)