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Manager 2 – Lending Data Science

Intuit

Salary not specified
Sep 11, 2025
San Francisco, CA, USA • Mountain View, CA, USA • San Diego, CA, USA
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Intuit's Global Business Solutions Group (GBSG) is committed to building tools and services that significantly enhance the ability of small and medium-sized businesses to manage cash flow, and the Lending Data Science team is developing innovative solutions to empower customers to confidently access the right loan offerings with greater ease.

Requirements

    • 7+ years of experience in product, customer, and GTM analytics
    • Familiarity with SQL, Python, and statistical modeling techniques (e.g., regression, classification, clustering etc.).
    • Experience with experimentation and causal inference, familiar with data visualization tools (Tableau, Looker, Power BI, etc.).
    • Ability to influence senior leaders with strong data storytelling and business acumen.
    • Preferred: Experience in financial technology and lending products

Responsibilities

    • Lead, coach, and develop a high-performing team of 3-5 data scientists
    • Define and execute the team’s data science strategy to support hyper-growth and expansion
    • Define and track key product and business performance metrics, identifying opportunities for growth and optimization.
    • Drive strategic insights to influence product roadmaps and go-to-market strategies for lending
    • Guide team to translate complex data findings into clear insights and actionable business strategies for both technical and non-technical audiences
    • Partner closely with Product, Engineering, Finance, GTM, and Commercial teams to drive data-backed decisions.
    • Work with data engineering teams to enhance data infrastructure, ensure data quality, and build scalable analytics solutions.

Other

    • 2+ years of leadership experience managing junior analysts
    • Ability to influence senior leaders with strong data storytelling and business acumen.
    • Lead a talented team and influence high-impact business decisions.
    • Work in a collaborative, innovative environment that values data-driven insights.
    • Be at the forefront of a hyper-growth product shaping the future of lending.