Intuit · 2 weeks ago
Manager 3, Payment Products - Data Science & Analytics
Intuit is dedicated to powering prosperity for small and mid-sized businesses through data-driven innovation. The Group Manager, Data Science & Analytics will lead a team to define the strategy and vision for Payments data science, focusing on AI and advanced analytics to enhance customer experiences and drive growth.
AccountingFinancial ServicesFinTechPaaSSoftware
Responsibilities
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 Payments growth, efficiency, and customer satisfaction
Develop and execute the strategic vision for Payments analytics, aligning data science priorities with GBSG’s business strategy and Intuit’s broader AI-driven expert platform goals
Partner with Payments 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 payments conversion, authorization rates, and customer satisfaction
Serve as a thought partner to Payments 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
Qualification
Required
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, including experience with classification, regression, clustering, and embedding models
Strong understanding of data infrastructure and pipelines supporting large-scale data products
Familiarity with modern AI/ML techniques (e.g., LLMs, reinforcement learning, generative AI) and their application to customer and operational use cases
Experience working with cloud-based data ecosystems (AWS, Snowflake, or GCP)
Preferred
Experience leading analytics or data science teams in payments, fintech, or SaaS industries
Proven success in developing reusable analytics frameworks and tools that enable scale and self-service across functions
Familiarity with risk and compliance analytics, including fraud detection and loss prevention modeling
Demonstrated ability to accelerate innovation through AI and automation, translating insights into measurable product and customer outcomes
Strong understanding of financial performance metrics (revenue, margins, cost-to-serve) and ability to link data insights to business P&L
Benefits
Cash bonus
Equity rewards
Benefits
Company
Intuit
Intuit provides financial software solutions to empower individuals and businesses.
H1B Sponsorship
Intuit has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (693)
2024 (550)
2023 (586)
2022 (842)
2021 (773)
2020 (514)
Funding
Current Stage
Public CompanyTotal Funding
$8.52BKey Investors
JP Morgan Chase
2025-01-31Post Ipo Debt· $4.5B
2023-09-12Post Ipo Debt· $4B
2011-01-19Post Ipo Equity· $6.7M
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