Director, Data Science, Analytics, Finance

Broadridge

. Develop a data science roadmap for financial systems supporting finance priorities and business objectives .

Posted 9/30/2026full-timeNew York City • New York • United StatesLead💰 $175,000 - $195,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing data science roadmaps and integrating data solutions within financial systems. Proven ability to lead analytics initiatives, coach teams, and communicate complex findings to finance executives.

Highest-signal resume keywords

Data Science Roadmap DevelopmentFinancial Data AnalysisMachine LearningPython ProgrammingCross-Functional Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

StatisticsForecastingExperimentationSQLData Quality StandardsModel ValidationAnomaly DetectionAutomation InitiativesData GovernanceMLOps

Soft Skills

People LeadershipCross-Functional CollaborationCommunication Skills

Tools & Technologies

AWSERP SystemsFinancial Reporting PlatformsAPI GatewayLambdaS3RDS/DynamoDBCloudWatchIAMSecrets Manager

Industry Keywords

Financial SystemsData Management TechnologiesResponsible AIRegulated EnvironmentOperational Workflows

Tech Stack

Tools & technologies

AWSDynamoDBERPPythonSQL

About the role

Key responsibilities & impact

Develop a data science roadmap for financial systems supporting finance priorities and business objectives
Partner with finance leadership to identify high-value opportunities, define success measures, and communicate results and recommendations
Lead analytics, forecasting, anomaly detection, and automation initiatives across financial planning, reporting, and operational workflows
Integrate data from relevant platforms and deploy reliable solutions into production with financial systems and engineering teams
Establish standards for data quality, model validation, documentation, access controls, and responsible AI in finance use cases
Coach and develop a high-performing data science team while managing priorities across multiple stakeholders
Measure financial and operational impact and present findings to finance executives
Stay current with industry trends and advancements in data management technologies and practices

Requirements

What you’ll need

7–10 years of experience in data science, analytics, or a related quantitative field
At least 3 years leading or working on major cross-functional initiatives
Substantial experience working with finance leadership and translating finance needs into data science solutions
Experience with financial data, reporting processes, and enterprise financial systems, such as ERP, planning, or financial reporting platforms
Strong skills in statistics, forecasting, experimentation, machine learning, Python, and SQL
Experience deploying and monitoring data products or models in production, with attention to accuracy, auditability, and controls
Ability to explain technical findings, trade-offs, and financial impact clearly to executive audiences
Demonstrated people leadership and cross-functional collaboration
Bachelor’s degree in quantitative, technical, finance, or related field, or equivalent practical experience
Experience with MLOps, generative AI evaluation, and data governance in a regulated environment
AWS application development experience, including Lambda, API Gateway, S3, RDS/DynamoDB, SNS/SQS, Cognito, CloudWatch, IAM, Secrets Manager, and related services desirable but not essential

Benefits

Comp & perks

Bonus eligible
Comprehensive benefit offerings
Paid sick leave for Colorado employees in compliance with the Colorado Healthy Families and Workplaces Act
Other legally required benefits, as applicable
Reasonable accommodations during the application and/or hiring process