Finance Data Science Director: AI & Forecasting

Broadridge; New York (NY); On-site; USD 175,000 - 195,000; Full time

Job summary

Broadridge is seeking a Director of Data Science to lead Finance Transformation, Analytics and AI initiatives. This role partners with Technology, Business and Finance to elevate centralized reporting, improve financial data quality, strengthen forecasting, and drive measurable outcomes.

The ideal candidate will guide a data science team, manage priorities across stakeholders, and ensure responsible AI practices within finance.

Qualifications

• 7-10 years in data science, analytics, or related field; 3+ years leading cross-functional initiatives.
• Experience with finance leadership and translating needs into data science solutions.
• Experience with financial data, reporting processes, and enterprise financial systems.

Responsibilities

• Develop a data science roadmap for financial systems aligning with finance priorities.
• Partner with finance leadership to identify high-value opportunities and measure success.
• Lead analytics, forecasting, anomaly detection, and automation across FP&A workflows.
• Collaborate with financial systems and engineering teams to integrate data and deploy solutions.
• Establish data quality standards, model validation, and responsible AI controls.
• Coach a high-performing data science team across multiple stakeholders.
• Measure financial and operational impact and present to executives.
• Stay updated on industry trends in data management technologies.

Skills

Statistics

Forecasting

Experimentation

Machine Learning

Python

SQL

MLOps

Generative AI evaluation

Data governance

AWS

Education

Bachelor's degree in quantitative/technical/finance

Tools

AWS (Lambda, API Gateway, S3, RDS/DynamoDB, SNS/SQS, Cognito, CloudWatch, IAM, Secrets Manager)

Job description

Broadridge is seeking a Director of Data Science to lead Finance Transformation, Analytics and AI initiatives. This role partners with Technology, Business and Finance to elevate centralized reporting, improve financial data quality, strengthen forecasting, and drive measurable outcomes.

The ideal candidate will guide a data science team, manage priorities across stakeholders, and ensure responsible AI practices within finance.