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Vice President-Data Management (Hybrid)

Broadridge

Company websitebroadridge.com (Broadridge, opens in new tab)

Base salary $150K  to $190K

Employer-published annual base salary, USD. Advertised base range in Newark, NJ

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  • LocationNewark, NJ
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team.

Broadridge is hiring! We’re seeking a dynamic Vice President of Data Management to lead the strategy, governance, and delivery of scalable data, reporting, and workflow solutions across critical financial services processes and platforms. This high-impact leader will partner with senior stakeholders across Business, Technology, Operations, Risk, and Compliance to strengthen data quality, improve controls, unlock actionable insights, and drive measurable operational efficiency. The role will lead complex cross-functional initiatives and advance responsible AI and GenAI capabilities—including intelligent reporting, process mining, exception management, and automated documentation—while maintaining rigorous data privacy, governance, model-risk, and regulatory standards.

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.

Qualifications:

  • 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, with the ability to solve ambiguous problems and make sound decisions when information is incomplete or conflicting.

  • Hands-on experience with data and reporting tools, including SQL, Power BI, Cognos, Oracle, Altair Monarch, and Microsoft Access.

  • Strong Python programming experience with demonstrated data mining, data analysis, and automation capabilities; pandas experience preferred.

  • Advanced knowledge of statistical analysis, quantitative modeling, and analytical tool development.

  • Experience supporting business-critical platforms and applications, preferably within financial services or other highly regulated environments.

  • 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, with the ability to create clear business documentation and present insights to senior leadership.

  • Strong interpersonal and stakeholder management skills, with a collaborative leadership style and the ability to influence across teams.

  • Bachelor’s or graduate degree in Business, Analytics, Data Management, Finance, Information Systems, or a related field preferred.

  • This position requires 2x a week in the office

Compensation Range: The salary range for this position is between $150,000 - $190,000. Broadridge considers various factors when evaluating a candidate's final salary including, but not limited to, relevant experience, location, skills, and education.
Bonus Eligibility: Bonus Eligible
Benefits Information: Please visit www.broadridgebenefits.com for more information on our comprehensive benefit offerings.

#LI-PP1

We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company—and ultimately a community—that recognizes and celebrates everyone’s unique perspective.

Use of AI in Hiring 

As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration.

US applicants: Click here to view the EEOC "Know Your Rights" poster.

Disability Assistance

We recognize that ensuring our long-term success means creating an environment where everyone is welcome, where everyone's strengths are valued, and where everyone can perform at their best. Broadridge provides equal employment opportunities to all associates and applicants for employment without regard to race, color, religion, sex (including sexual orientation, gender identity or expression, and pregnancy), marital status, national origin, ethnic origin, age, disability, genetic information, military or veteran status, and other protected characteristics protected by applicable federal, state, or local laws. 

If you need assistance or would like to request reasonable accommodations during the application and/or hiring process, please contact us at 888-237-7769 or by sending an email to [email protected].

Source: Broadridge on Workday · View original posting (opens in new tab)

This range next to 6 other live Broadridge roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Broadridge roles with the nearest advertised base floor
RolePublished base
Vice President-Data Management (Hybrid) (this listing)$150K - $190K
Sales Director, iJoin Solutions (Hybrid- NYC)$150K - $165K
Director, Product Sales- Corporate Actions (Hybrid- NYC)$150K - $165K
Director of Operations - P&S and Options$150K - $175K
Business Development Director, AdvisorTarget Reach (Hybrid- NYC)$155K - $175K
Sr. Lead Software Engineer (Hybrid- Newark, NJ, Edgewood, LI, Coppell TX or NYC)$145K - $155K
Customer Communications Business Development Executive ( Hybrid- NY, NJ, PA, CT, MA, MD, NC, SC, FL)$140K - $165K

Same $100K to $400K scale as every card. All Broadridge roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Where this pay comes from

Location as the employer wrote it: Newark, NJ

Compensation Range: The salary range for this position is between $150,000 - $190,000. Broadridge considers various factors when evaluating a can

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.