Job Description
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Company Overview
A leading financial technology company focused on making financial services more accessible through technology, data, and innovation. The organization combines financial products, advanced analytics, machine learning, and artificial intelligence to help customers make informed financial decisions while enabling teams across the business to operate more efficiently.
Responsibilities
- Lead, mentor, and develop a high-performing team of Data Scientists and Analytics Engineers while remaining hands-on with technical work and contributing directly to projects.
- Establish a culture of technical excellence, strong business judgment, experimentation, accountability, and continuous improvement.
- Lead the organization’s Net Promoter Score (NPS) program, including survey design, sampling and weighting, key-driver analysis, verbatim analysis, and executive reporting.
- Oversee broader survey and research initiatives, including safety perception, brand and product sentiment, benchmarking, and trend tracking.
- Develop agentic workflows as a standard operating model, creating durable shared infrastructure that enables agents to support analysis, pipelines, quality assurance, and recurring reporting.
- Drive both the data science and analytics engineering functions, including measurement, experimentation, modeling, pipelines, tooling, and data models.
- Partner closely with Finance, Product, Engineering, Operations, and other cross-functional teams to translate complex business questions into scalable and trustworthy analytics.
- Represent Finance & Strategy Data Science in leadership forums and help shape how data and AI are used for strategic decision-making.
- Develop and execute strategic analytics, measurement and benchmarking frameworks, deep-dive analyses, and scalable data science and AI solutions.
- Identify high-impact opportunities to improve the quality, scalability, and effectiveness of analytics across the organization.
Qualifications
- 7+ years of experience in data science, analytics, or a related field.
- 2+ years of experience managing and developing people.
- Strong technical expertise in SQL, Python, statistical analysis, experimentation, and advanced analytics.
- Proven ability to translate complex business questions into rigorous analyses, actionable insights, and scalable data solutions.
- Experience developing measurement frameworks, predictive models, benchmarking methodologies, and other analytical approaches that support business and strategic decisions.
- Strong business judgment and experience partnering with Finance, Product, Engineering, Operations, and senior leadership.
- Excellent communication skills, including the ability to simplify complex analytical concepts, influence decisions, and build alignment across teams.
- Demonstrated experience building and developing high-performing teams of Data Scientists and Analytics Engineers.
- Ability to balance people leadership, technical depth, and business strategy while driving high-impact initiatives.
- Experience working with AI-powered analytics and modern data science workflows is highly valuable.
Leadership Expectations
- Drive high performance by setting clear and focused goals, providing real-time feedback, developing top talent, and scaling impact through focus, innovation, and technology.
- Hire and retain strong talent by maintaining high standards, investing in effective onboarding, and addressing performance and talent issues fairly and promptly.
- Build a strong sense of community by connecting work to organizational purpose, removing friction, prioritizing safety, and fostering trust and inclusion.
- Lead from the front with integrity while creating an environment where teams can collaborate effectively and deliver meaningful results.
Work Arrangement
This position is based in the Menlo Park, CA office, with in-person attendance expected five days per week.
Disclaimer
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