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Senior Manager Data Science, Finance Jobs

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Senior Manager Data Science, Finance
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Lead the Finance Data Science team at Checkr in San Francisco. You will build the quantitative backbone for financial strategy, overseeing forecasting, modeling, and key business insights. This senior role requires 10+ years of DS experience, expertise in Python/SQL, and a proven ability to influ...
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Location
United States , San Francisco
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Salary
254000.00 - 299000.00 USD / Year
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Checkr
Expiration Date
Until further notice
A Senior Manager of Data Science in Finance is a pivotal leadership role at the intersection of advanced analytics, strategic finance, and team management. This professional is responsible for building and guiding a high-performing data science team dedicated to solving complex financial challenges and driving data-informed decision-making across the organization. Unlike individual contributor roles, this position focuses on setting vision, managing stakeholders, and ensuring that data science delivers tangible business value to the finance function and the broader company. In this profession, individuals typically oversee the development and maintenance of the quantitative backbone that supports financial strategy. Common responsibilities include owning the roadmap for the finance data science function, serving as the primary liaison between data scientists and executive finance leadership, and guiding the creation of sophisticated models for revenue forecasting, cost analysis, and business metric definition. They lead deep-dive analyses into unit economics, pricing strategies, profitability, and new venture evaluation. A core aspect of the role is people leadership: hiring, mentoring, and developing a team of data scientists and analysts, fostering a culture of technical excellence and business impact. Typical skills and requirements for these senior leadership jobs blend deep technical expertise with strong business and people acumen. Professionals in this field usually possess an advanced degree in a quantitative field such as Statistics, Computer Science, Economics, or Operations Research. They have extensive experience (often 8+ years) in data science with a proven track record of applying machine learning, statistical modeling, and forecasting techniques to financial problems. Proficiency in SQL, Python, and modern data stack tools (like dbt) is standard. Crucially, they demonstrate exceptional stakeholder management and communication skills, with the ability to translate complex analytical findings into clear, actionable insights for C-suite executives. Several years of direct people management experience and a strong strategic mindset are fundamental requirements for these high-impact jobs. Ultimately, a Senior Manager of Data Science in Finance acts as a strategic partner, ensuring that data science is not just an analytical function but a core driver of financial health, operational efficiency, and long-term growth. For those seeking leadership jobs that bridge cutting-edge analytics with corporate strategy, this role represents a career pinnacle with significant influence on an organization's bottom line and strategic direction.

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