Manager , Workforce Solutions & Bill Products - Data Science

Overview

Intuit’s Global Business Solutions Group (GBSG) is dedicated to powering prosperity for small and mid-sized businesses (SMBs) through data-driven innovation that simplifies how they move and manage their money. The Workforce Solutions & Bill Pay team plays a pivotal role in this vision by developing insights, models, and scalable analytics solutions that fuel growth, efficiency, and world-class customer experiences across Intuit’s Workforce Solutions and Bill Pay ecosystems.

This leader will sit within the GBSG Data Science & Analytics organization, partnering closely with the Payments cross-functional leadership team within Intuit’s Services organization to drive impact across Product, Marketing, Engineering, and Operations. The Manager 3, Data Science will lead a team of senior data scientists and people managers to define the strategy, vision, and roadmap for Workforce Solutions & Bill Pay data science.

This leader will champion the use of AI and advanced analytics to identify growth opportunities, optimize risk and revenue, and enhance customer trust — all while fostering a high-performance, customer-obsessed culture.

• Lead and scale a high-performing team of data scientists, analysts, and data science managers to deliver end-to-end insights and modeling solutions that accelerate Workforce & Bill Pay growth, efficiency, and customer satisfaction.
• Develop and execute the strategic vision for Workforce & Bill Pay data science, aligning data science priorities with GBSG’s business strategy and Intuit’s broader AI-driven expert platform goals.
• Partner with Workforce & Bill Pay product, engineering, and marketing leaders to deliver insights that improve customer acquisition, onboarding, retention, and lifetime value — balancing growth with risk management.
• Drive predictive and generative AI innovation, including applications for customer segmentation, transaction forecasting, fraud mitigation, and personalized experiences.
• Own and evolve measurement frameworks for key business and customer outcomes, including growth, profitability, risk, and customer experience metrics.
• Champion experimentation and data-driven decision-making, using hypothesis-driven analysis to uncover opportunities for step-change improvements in Workforce & Bill Pay conversion, authorization rates, and customer satisfaction.
• Serve as a thought partner to Workforce & Bill Pay and GBSG executives, influencing strategic decisions through compelling storytelling and actionable data narratives.
• Foster a culture of inclusion, innovation, and continuous improvement, empowering teams to deliver measurable business impact and grow their careers within a dynamic, fast-paced environment.
• Collaborate cross-functionally across Intuit’s ecosystem (Product, Customer Success, Risk, Finance, Marketing, and Design) to deliver shared success metrics and advance enterprise-wide data maturity.

• 12+ years of experience in data science, analytics, or related quantitative disciplines; 6+ years of people leadership experience, including leading other managers and senior ICs.
• Proven ability to define and execute data science strategies that deliver measurable business growth, revenue impact, and customer benefit.
• Deep experience with payments, fintech, or financial services, including familiarity with customer lifecycle analytics, transaction data, and risk modeling.
• Demonstrated expertise in supervised and unsupervised learning, experimentation design, and advanced statistical modeling.
• Track record of influencing senior executives and partnering across functions to align on shared business goals and KPIs.
• Strong background in data storytelling, translating complex quantitative findings into clear, actionable recommendations.
• Passion for developing talent, building high-performing, diverse teams, and advancing analytics maturity within large organizations.
• Extreme ownership mindset with operational rigor, adaptability, and a focus on business outcomes.

• Proficiency in SQL, Python, R, and data visualization tools (Tableau, Qlik, Looker, or equivalent).
• Expertise in machine learning and predictive analytics,…