Sr Manager, Data Science

Lead complex data science projects, ensuring they meet business objectives and deliver actionable insights. Develop advanced data models and algorithms to analyze large datasets and solve complex business problems. Collaborate with senior leadership to identify data-driven opportunities for business growth and efficiency. Implement best practices for data management, analysis, and visualization. Ensure data governance and compliance with relevant regulations and standards. Provide mentorship and technical guidance to the data science team. Design and enhance credit strategy frameworks governing originations, renewals, and portfolio management to support healthy and scalable growth Develop and maintain credit policies and guardrails that balance business expansion with sound risk management principles Build analytical frameworks and monitoring tools to assess portfolio health, track early warning indicators and identify emerging risks Partner with data science on deployment, monitoring and calibration of credit risk models and segmentation strategies Collaborate with Commercial, Product, Platform, Governance, Engineering, and Finance teams to integrate credit strategies and decisioning into product design and system architecture 8+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience. Experience leading others Proven experience in credit risk strategy, policy development, and portfolio analytics Strong understanding of the commercial credit ecosystem including credit products, bureau information, bank and cash flow data, and alternative data sources used for credit risk underwriting and monitoring Demonstrated analytical and quantitative skills with the ability to translate insights into actionable strategy Excellent communication and influencing skills with experience presenting to senior management