Lead Data Scientist-Executive Director

Champion innovation at the intersection of technology and business, guiding cross-functional teams to deliver analytics products that drive real value.

As a Lead Data Scientist on the Commerce Payments product team, you’ll be driving data and analytics strategy, execution, and innovation for embedded payments solutions, including digital wallets and card-on-file in ecommerce. You will work closely with quad partners (Product, Technology, Operations, and Risk) to identify opportunities, deliver actionable insights, and enable data-driven decision-making across the organization.

Job Responsibilities

• Develop and execute the analytics roadmap aligned with Commerce Payments’ business objectives
• Champion a data-driven culture and promote analytics best practices across the team and quad partners
• Collaborate with quad partners to understand business needs, define analytics requirements, and deliver impactful solutions
• Communicate complex analytics concepts and results to non-technical stakeholders, influencing strategy and decision-making
• Lead the design, development, and implementation of advanced analytics solutions, including dashboards, predictive models, and reporting tools
• Ensure analytics solutions are scalable, robust, and deliver measurable business value
• Build, mentor, and manage a high-performing analytics team, fostering professional growth and collaboration
• Oversee data quality, integrity, and governance for all analytics initiatives
• Partner with Technology and Data teams to ensure secure, compliant, and efficient data management
• Stay abreast of industry trends, emerging technologies, and best practices in payments analytics
• Drive continuous improvement in analytics methodologies, tools, and processes

Required Qualifications, Capabilities, and Skills

• Bachelor's degree in a quantitative or other applicable field, and 10 years of experience in an advanced analytics, product management, or related role
• Experience managing analytics solutions and delivery within a complex organizational structure
• Knowledge to effectively leverage common analytics tools and technologies such as SQL, Python, R, Tableau, or Power BI
• Excellent communication skills with the ability to convey complex analytics concepts to stakeholders with varying levels of technical knowledge
• Proficient using MS Excel and PowerPoint
• Ability to provide insights, manage stakeholder expectations, influence decision-making at all levels
• Strong leadership skills with the ability to guide cross-functional teams towards achieving common goals
• Knowledge customer survey data and survey design; proven ability to drive insights from data to impact product and service strategy
• Experience converting customer feedback into actionable opportunities for customer-facing employees

Preferred Qualifications, Capabilities, and Skills

• Experience in the banking or financial services industry highly desired
• Experience coaching product managers to grow their skills while maintaining a strong team culture
• Experience leading across multiple product areas