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Svp Data Management Jobs (NOW HIRING)

Chubb

SVP, PRS - Data Science

Whitehouse Station, NJ · On-site

... management. This position will be primarily responsible for personal lines product such as ... As the SVP Data Scientist for Personal Lines (PRS), you will: * Collaborate with business partners ...

Chubb

VP, Data Science - Cohort Modeling

Jersey City, NJ · On-site

$163K - $237K/yr

This position will report to the SVP, Cohort Modeling, and play a pivotal leadership role in ... Lead teams developing predictive models for underwriting, pricing, and portfolio management.

Chubb

VP, Data Science - Cohort Modeling

Jersey City, NJ · On-site

$163K - $237K/yr

This position will report to the SVP, Cohort Modeling, and play a pivotal leadership role in ... Lead teams developing predictive models for underwriting, pricing, and portfolio management.

Titan Production Equipment, LLC

$200 - $250/hr

Manage sub-leaders who supervise employees in all departments. Responsible for the overall ... Develop sales/marketing technical collateral: whitepapers, data sheets, tech talks, etc.

Precision

VP/SVP, Data Insights Focused

Washington, DC · On-site

$130K - $190K/yr

Data & Intelligence Specific * Serves as a senior strategic voice on social listening and digital ... Client Management * Owns large client engagements, overseeing relationships with clients and ...

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Svp Data Management information

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$31K

$97.1K

$172K

How much do svp data management jobs pay per year?

As of Sep 9, 2026, the average yearly pay for svp data management in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What does an SVP of Data Management do?

An SVP (Senior Vice President) of Data Management oversees an organization's data governance, strategy, and infrastructure. They are responsible for ensuring data quality, security, and compliance across all business units. This role typically involves leading teams that manage data architecture, analytics, and data integration while collaborating with executives to leverage data for strategic decision-making. The SVP of Data Management also sets policies for data usage and works to ensure that the company's data assets support business growth.

How does an SVP of Data Management typically collaborate with other executive leaders to drive organizational data strategy?

An SVP of Data Management works closely with other C-suite executives, such as the CIO, CTO, and business unit leaders, to align data initiatives with the broader organizational strategy. This involves regular cross-functional meetings, setting data governance policies, and ensuring data projects support business goals like digital transformation or customer insights. Effective collaboration often requires clear communication, influencing skills, and the ability to translate complex data concepts into actionable business strategies. Building strong partnerships across departments is essential for driving data-driven decision-making and fostering a culture of data stewardship.

What are the key skills and qualifications needed to thrive as an SVP of Data Management?

To thrive as an SVP of Data Management, you need deep expertise in data governance, analytics, and database architecture, typically supported by an advanced degree in computer science, information systems, or a related field. Familiarity with tools and platforms like SQL, Hadoop, cloud data services (AWS, Azure), and certifications such as CDMP or DAMA are highly valuable. Strategic leadership, strong communication, and stakeholder management are crucial soft skills for driving enterprise-wide data initiatives. These skills are vital for ensuring data integrity, enabling data-driven decision-making, and aligning data strategy with organizational goals.

What is the difference between Svp Data Management vs Data Analyst?

AspectSvp Data ManagementData Analyst
CredentialsBachelor's or Master’s in Data Science, IT, or related fields; often requires experience in data managementBachelor's in Statistics, Data Science, or related fields; often entry to mid-level
Work EnvironmentStrategic, leadership-focused, overseeing data teams and policiesOperational, analyzing data sets, creating reports and insights
Industry UsageUsed in corporate, finance, healthcare, and tech sectors for data governanceCommon across industries for data analysis and reporting

The Svp Data Management role is strategic and leadership-oriented, focusing on data governance and management policies, while Data Analysts are more hands-on, analyzing data to generate insights. Both roles require strong technical skills, but the Svp typically has more experience and oversees teams, whereas Data Analysts focus on data interpretation and reporting.

What cities are hiring for Svp Data Management jobs?

Cities with the most Svp Data Management job openings:

What states have the most Svp Data Management jobs?

States with the most job openings for Svp Data Management jobs include:

What are popular job titles related to Svp Data Management jobs?

For Svp Data Management jobs, the most frequently searched job titles are:

Infographic showing various Svp Data Management job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Senior Vice President, Data Governance

Lake Mary, FL • On-site

BNY
10K+ employees
Learn more about BNYexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

We're seeking a future team member for the role of Senior Vice President, Data Leader for Infrastructure to join our Infrastructure team. This role is located in Lake Mary.

The Infrastructure Platform Data Leader serves as the primary point of accountability for data governance and data management across the Platform. This role leads data quality, metadata, lineage, authoritative data source certification, data consumption and data risk management activities while partnering with Platform leadership, Business Data Owners, application owners, and the Divisional Data Office to drive data maturity, regulatory compliance, and trusted data outcomes.

In this role, you'll make an impact in the following ways: 

Data Governance & Strategy

  • Drive data governance, data quality, metadata management, and data risk management for the Infrastructure organization.
  • Interact with Platform Leadership and the Divisional Data Office to implement enterprise data management strategies and policies.
  • Support and advance the federated data management operating model across the Infrastructure Platform.
  • Lead Platform data maturity assessments and governance improvement initiatives
  • Define and maintain the strategy for Data Mesh adoption, including definition and maintenance of Infrastructure Data Domains

Authoritative Data Sources & Metadata

  • Oversee onboarding, certification, and maintenance of Authoritative Data Sources (ADS).
  • Ensure critical datasets are properly documented with business definitions, ownership, lineage, metadata, and data quality controls.
  • Drive governance of Critical Data Elements (CDEs) and business glossary content.
  • Promote trusted data sourcing and governed data consumption across the Platform.

Data Quality & Risk Management

  • Establish and monitor Platform data quality controls, metrics, and remediation processes.
  • Lead identification, measurement, escalation, and mitigation of data risks.
  • Partner with Data Owners, Dataset Owners and Application Managers to resolve data quality issues and implement preventative controls.
  • Monitor compliance with data governance policies and standards.

Reporting & Stakeholder Management

  • Provide visibility into data quality, certification status, onboarding progress, and Platform data risks.
  • Coordinate governance forums, stakeholder engagement, and communications across business and technology teams.
  • Represent the Infrastructure Platform during audits, regulatory reviews, and enterprise governance activities.

AI-Ready Data Enablement

  • Support AI-enabled initiatives by ensuring data assets are well-governed, trusted, documented, and reusable.
  • Promote responsible data management practices that enable advanced analytics and AI adoption.

To be successful in this role, we're seeking the following: 

Required Qualifications:

  • 10+ years of experience in Data Management, Data Governance, Data Quality, Metadata Management, or related disciplines.
  • 5+ years of leadership experience managing teams or enterprise governance programs.
  • Strong understanding of data governance frameworks, metadata management, data quality, lineage, and authoritative data source concepts.             
  • Experience implementing data governance programs within complex technology environments.
  • Strong stakeholder management and communication skills.
  • Experience with data governance platforms such as Collibra or equivalent.

Preferred Qualifications:

  • Financial services industry experience.
  • Experience with DCAM, BCBS 239, or similar governance frameworks.
  • Knowledge of Infrastructure, Technology, or Enterprise Platform data domains.
  • Experience supporting AI-ready data governance initiatives.

At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

At BNY, our culture speaks for itself, check out the latest BNY news at BNY Newsroom & BNY LinkedIn

 Here's a few of our recent awards:

  • America's Most Innovative Companies, Fortune, 2025
  • World's Most Admired Companies, Fortune 2025
  • "Most Just Companies", Just Capital and CNBC, 2025

    Our Benefits and Rewards:

    BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

    BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

    BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting. 

    Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee's eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

    If hired, the employee will be in an "at will" position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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