Manager 2, Data Science (Customer Success - Analytics)

Overview Company Overview Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible. Job Overview The Intuit Customer Success (ICS) Analytics Team is seeking an exceptional Data Science Senior Manager to drive innovation across two of Intuit's highest-priority growth areas: the Services business (Payments, Payroll, Bill Pay, and Lending) and the Mid-Market segment powered by Intuit Enterprise Suite (IES) u2014 our AI-powered ERP platform purpose-built for complex, services-centric businesses. In this pivotal role, you will lead a high-performing data science team generating insights across both businesses u2014 measuring and improving customer experiences in Payments, Payroll, and Lending (QuickBooks Capital) while powering a scalable, human-driven growth engine for IES. A defining aspect of this role is leveraging Intuit's AI + Human Intelligence (AI+HI) strategy u2014 quantifying how the combination of AI and trusted human experts (ICs, CSMs, accounting domain experts) drives customer confidence, Services attach, and outcomes at scale u2014 from human expert-led onboarding and CSM-driven customer health management. If you are passionate about data, skilled at building teams, and excited to shape Intuit's next chapter across Services and Mid-Market, we'd love to hear from you. Responsibilities + Build, lead, and mentor a team of data scientists spanning Services (Payments, Payroll, Lending) and Mid-Market / IES Customer Success data science and analytics, ensuring growth in technical depth, business acumen, and leadership skills. + Define and own the data strategy for the Services and Mid-Market segments u2014 measuring funnel health, product adoption, and customer retention across QBO Advanced, IES, Human Capital Management and Money, and surfacing data-driven opportunities to improve conversion, attach, and consumption. + Lead measurement and experimentation for expert programs, capturing the incremental value of human expertise in driving feature adoption, Services attach, and customer confidence. + Partner with Customer Success teams to evolve the Customer Health Score (CHS) u2014 including predictive churn models, feature adoption signals, and next-best-action recommendations u2014 enabling CSMs and ICs to intervene proactively before customers disengage. + Generate data-driven insights for partner-led growth motions, helping the business understand what drives partner confidence, client onboarding velocity, and long-term customer health. + Translate complex business problems u2014 across Services funnels, Desktop-to-IES migrations, multi-entity customer complexity, and segmented success models u2014 into well-scoped analytical projects with clear metrics and measurable impact. + Provide clear, actionable recommendations to senior leaders to influence Services and IES Customer Success strategy, GTM investment decisions, and segment-level priorities through rigorous, data-driven insights. + Build and influence the metrics framework used to measure performance across both businesses, including Services attach and consumption, tNPS, Customer Health Score, Net Revenue Retention (NRR), and feature adoption. + Provide technical leadership in applying advanced statistical, machine learning, and experimental design methods u2014 including causal inference and A/B testing u2014 to validate program hypotheses and optimize customer experiences. + Champion a culture of data-driven innovation, driving continuous improvement in data science methodologies, tools, and practices across the ICS Analytics organization. + Role-model

Created: 2026-05-01