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Broadridge

Fintech infrastructure for investor communications

Vice President of Data Management

Data ManagementConfirmed live in the last 24 hours
Full-timeNewark, NJ, USA

About the Job

Requirements

  • At least 10 years of experience in data management within a financial services environment.
  • Proven leadership experience managing cross-functional initiatives, complex programs, or enterprise-level data and process transformation efforts.
  • Strong expertise in data governance, data quality, reporting, workflow optimization, and operational risk management.
  • Advanced analytical and troubleshooting skills, including solving ambiguous problems and making sound decisions when information is incomplete or conflicting.
  • Hands-on experience with SQL, Power BI, Cognos, Oracle, Altair Monarch, and Microsoft Access.
  • Strong Python programming experience, including data mining, data analysis, and automation capabilities.
  • Advanced knowledge of statistical analysis, quantitative modeling, and analytical tool development.
  • Experience supporting business-critical platforms and applications, preferably in financial services or another highly regulated environment.
  • Demonstrated experience applying AI and GenAI tools to business process improvement, documentation automation, reporting enhancement, process mining, and workflow efficiency.
  • Practical understanding of prompt engineering, model evaluation, human-in-the-loop review, and AI output quality assurance.
  • Familiarity with AI governance, model risk management, privacy controls, and responsible AI practices in regulated environments.
  • Excellent written and verbal communication skills, including creating clear business documentation and presenting insights to senior leadership.
  • Strong interpersonal and stakeholder management skills, with the ability to influence across teams.
  • Two days in the office per week are required.

Responsibilities

  • Lead data management initiatives across business, operations, and technology teams, with ownership of data quality, reporting, controls, workflow optimization, and operational scalability.
  • Partner with senior business and functional leaders to gather, challenge, and refine requirements; translate them into actionable roadmaps, detailed documentation, and measurable delivery outcomes.
  • Define and govern data standards, lineage, controls, and quality frameworks to support critical financial services products, transactions, and operational processes.
  • Drive the use of analytics, statistical methods, and financial modeling to identify trends, assess impacts, resolve discrepancies, and improve decision-making.
  • Design and implement reporting frameworks, dashboards, and real-time monitoring capabilities that proactively identify issues, trends, exceptions, and operational risk indicators.
  • Lead cross-functional programs with significant complexity, resource demands, regulatory considerations, and business impact.
  • Identify and execute process improvement opportunities that increase efficiency, reduce manual effort, strengthen controls, and optimize end-to-end processing.
  • Develop and oversee specialized analytical tools, data models, and reporting assets for strategic initiatives and ongoing operational use.
  • Use AI and GenAI capabilities to improve organizational workflows, including AI-assisted requirements gathering, automated documentation, intelligent reporting, workflow automation, and process mining.
  • Establish practical AI use cases for data quality automation, exception management, root-cause analysis, and operational insight generation within a controlled financial services environment.
  • Apply prompt engineering, model evaluation, and output validation techniques to ensure AI-generated content is accurate, traceable, secure, and fit for business use.
  • Partner with risk, compliance, legal, and technology teams to implement AI governance, model risk controls, data privacy protections, and responsible use standards.
  • Interpret internal and external business challenges, industry developments, and regulatory expectations; recommend actions and best practices to improve products, services, and processes.
  • Mitigate operational risk by proactively escalating emerging issues, monitoring key controls, and embedding stronger data and reporting discipline across the organization.

Desired Qualifications

  • Strong Python programming experience with pandas.
  • A bachelor’s or graduate degree in Business, Analytics, Data Management, Finance, Information Systems, or a related field.

About the Company

Broadridge

Fintech infrastructure for investor communications

Broadridge provides critical financial services infrastructure that powers investor communications, proxy voting, and trading operations for public companies, brokers, and asset managers. It runs platforms that process trillions of dollars in trades and millions of communications daily, delivering regulated software and services for governance, trading, and asset management. What sets it apart is its history as an ADP division that became a standalone public company, plus a broad, end-to-end suite built through acquisitions across proxy voting, fund data, trading, and wealth-management technology. Its goal is to be the essential, scaleable backbone for financial markets, expanding with data, digital assets, and AI-driven solutions.

Company size
10,001+
Company stage
IPO
Headquarters
Town of North Hempstead, New York
Founded
1962

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