Director, Data Science & Analytics, Finance (Hybrid - NYC))
Core
Lead Finance Transformation, Analytics, and AI initiatives to elevate centralized reporting, improve financial data quality, and strengthen forecasting.
Role type
Director, Data Science & Analytics (Finance)
Builds
Production ML models and automated solutions for financial planning, reporting, and operational workflows.
Domain
Finance / Data Science / Machine Learning
Deliverable
production ML models
Required skills
Statistics, forecasting, experimentation, machine learning, Python, SQL, MLOps, data governance, AWS application development
Preferred skills
Generative AI evaluation, experience with ERP and financial reporting platforms
Responsibilities
Develop data science roadmap for financial systems; Partner with finance leadership to define success measures and communicate results; Lead analytics, forecasting, anomaly detection, and automation initiatives; Integrate data from relevant platforms and deploy reliable solutions into production; Establish standards for data quality, model validation, documentation, and responsible AI; Coach and develop a high-performing data science team; Measure financial and operational impact of initiatives.
Seniority
Director, hands-on IC with people leadership
