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Vice President Data Operations Lead Jobs (NOW HIRING)

$228K - $240K/yr

Vice President, Data & AI STATUS: Exempt COMPENSATION RANGE: $228,000 - $240,000 Annually with up ... Lead Data Governance Councils and domain-based stewardship models that assign clear data ownership ...

Vice President, Data & AI

Henrico, VA · On-site

$228K - $240K/yr

Vice President, Data & AI STATUS: Exempt COMPENSATION RANGE: $228,000 - $240,000 Annually with up ... Lead Data Governance Councils and domain-based stewardship models that assign clear data ownership ...

Lead the evolution toward a self-service analytics model, empowering business users while ... Background in integrating operational technology (OT) data with enterprise systems. * Experience ...

Provide Data-Driven, Network-Wide Organizational Leadership**** Own the operational strategy ... Lead and develop school-facing operational support teams to strengthen coaching, improve school ...

$132K - $171K/yr

Fidelity Wealth is seeking a VP, Data Solutions to lead the Data Solutions function for the Retail ... operations. Foster a collaborative, inclusive culture that supports learning, continuous ...

VP, Data Engineering

San Francisco, CA · On-site

$212K - $273K/yr

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization, owning the strategy, architecture, and operation of the data platforms, pipelines, and ...

Showing results 21-40

Vice President Data Operations Lead information

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$68.5K

$155.8K

$264K

How much do vice president data operations lead jobs pay per year?

As of Sep 11, 2026, the average yearly pay for vice president data operations lead in the United States is $155,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $185,000.00 per year, depending on experience, location, and employer.

What does a Vice President Data Operations Lead do?

A Vice President Data Operations Lead oversees the data management and operational strategies within an organization. They are responsible for leading teams that handle data governance, quality, integration, and analytics to ensure data is accurate, secure, and effectively used for business decision-making. This role often involves collaborating with other executives to align data initiatives with organizational goals, developing data policies, and optimizing data processes. Additionally, they may be involved in implementing new data technologies and ensuring compliance with data regulations.

What are the key skills and qualifications needed to thrive as a Vice President Data Operations Lead?

To thrive as a Vice President Data Operations Lead, you need deep expertise in data management, analytics, and operations, often backed by an advanced degree in a quantitative field and significant leadership experience. Familiarity with data warehousing solutions, data governance frameworks, cloud platforms, and tools like SQL, Python, and ETL systems is crucial, as are certifications such as CDMP or PMP. Exceptional strategic thinking, cross-functional collaboration, and communication skills distinguish top performers in this role. These competencies are vital for ensuring data quality, driving business insights, and leading teams to achieve organizational objectives efficiently.

How does a Vice President Data Operations Lead typically collaborate with other departments to drive data-driven decision making?

A Vice President Data Operations Lead regularly partners with cross-functional teams such as IT, analytics, business strategy, and compliance to ensure data accessibility, quality, and security. They facilitate communication between technical staff and business leaders, translating organizational goals into actionable data initiatives. This role often leads data governance forums, oversees data integration projects, and supports teams in leveraging data insights for strategic decisions. Effective collaboration is crucial for aligning data operations with overall business objectives and fostering a data-driven culture.

What is the difference between Vice President Data Operations Lead vs Data Operations Manager?

AspectVice President Data Operations LeadData Operations Manager
ResponsibilitiesStrategic oversight, setting data policies, leading large teams, and aligning data operations with business goalsManaging daily data processes, coordinating teams, and ensuring data quality and efficiency
Required CredentialsBachelor's/Master's in Data Science, Business, or related fields; extensive experience in data management; leadership skillsBachelor's in Data Management, IT, or related fields; experience in data operations; technical skills
Work EnvironmentExecutive-level, strategic planning, cross-department collaborationOperational, team management, technical focus

The Vice President Data Operations Lead typically holds a senior leadership role focused on strategic planning and overseeing large-scale data initiatives, while the Data Operations Manager handles daily data processes and team management. Both roles require strong data management credentials, but the VP position emphasizes strategic vision and leadership within the organization.

What cities are hiring for Vice President Data Operations Lead jobs?

Cities with the most Vice President Data Operations Lead job openings:

What are the most commonly searched types of Data Operations Lead jobs?

The most popular types of Data Operations Lead jobs are:

What states have the most Vice President Data Operations Lead jobs?

States with the most job openings for Vice President Data Operations Lead jobs include:

What are popular job titles related to Vice President Data Operations Lead jobs?

For Vice President Data Operations Lead jobs, the most frequently searched job titles are:

Infographic showing various Vice President Data Operations Lead job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $155,780 per year, or $74.9 per hour.

Data Transformation & Strategy Lead- Vice President

Newark, DE • On-site

Next Frontier Capital
Investment Clubs and Venture Capital Companies • 1 - 10 employees

Other

Medical, Retirement

Re-posted 14 hours ago


Key responsibilities

  • Lead the design and implementation of future-state operating models for party/client reference data, including roles, responsibilities, controls, and SLAs.

  • Own end-to-end program delivery by managing plans, milestones, dependencies, and KPIs aligned with business objectives and benefits.

  • Coordinate cross-functional execution across business, operations, technology, risk, and compliance teams to ensure stakeholder alignment and accountability.


Job description

We are looking for a dynamic and motivated individual to join our Party Reference Data Change Management Team as a VP - Data Transformation Lead. In this exciting role, you will take the lead on projects that support strategic and business change initiatives aligned with our Reference Data Strategy. If you are passionate about driving operational efficiency through innovative operating model design, data architecture, and advanced technology, this is a fantastic opportunity for you to showcase your expertise in transforming processes and enhancing overall performance. Join us and make a meaningful impact as we shape the future of our data operations!

As the Data Transformation Lead- Vice President within Client Account Services, you will own a cross-functional transformation agenda that advances the firmwide Reference Data strategy. You will lead a global team to redesign operating models, uplift data quality and controls, and streamline end-to-end party creation and maintenance processes that underpin Client Onboarding, KYC, and regulatory reporting. Partnering closely with Party Reference Data leadership, Reference Data Strategy, Technology, and business stakeholders, you will deliver measurable improvements in client experience, operational efficiency, and control outcomes.

Job Responsibilities
  • Build and lead a high-performing global team; recruit, develop, and retain talent; manage capacity and performance plans.
  • Own end-to-end program delivery with integrated plans, milestones, dependencies, and KPIs aligned to business objectives and measurable benefits.
  • Define and socialize the target operating model for party/client reference data, including roles and responsibilities (RACI), handoffs, controls, and SLAs; ensure alignment with data governance standards and regulatory expectations.
  • Assess current-state processes end to end; design and implement future-state operating models that reduce cycle time, manual touchpoints, and rework while improving data quality.
  • Produce executive-ready materials in PowerPoint, backed by rigorous analysis in Excel and collaboration in SharePoint; synthesize complex topics into clear insights, options, and recommendations for leadership and working teams.
  • Orchestrate cross-functional execution across business, operations, technology, risk, and compliance; establish governance and decision forums and a communication cadence that keeps stakeholders informed, aligned, and accountable.
  • Identify and deliver operational synergies with Client Onboarding, KYC, Document Management, and Tax; eliminate redundancies and manual processes;
  • Manage stakeholder relationships across Business and Operations; align on priorities, success metrics, risks, and dependencies; communicate status and decisions to senior leadership.
  • Partner with Reference Data Strategy, Program/Project Management, and Technology to implement future-state data models and domains and to operationalize the target operating model within the Utility.
  • Translate client experience goals into concrete party reference data improvements and contribute to firmwide transformation initiatives.
  • Facilitate analysis workshops and working groups; prepare materials; document decisions; and maintain artifacts such as process maps, RACI matrices, procedures, and control designs.
Required qualifications, capabilities, and skills
  • Seasoned with roughly five years’ experience in data management, process management, business process reengineering, and related transformation roles within large, complex organizations.
  • Visual, with strong concept visualization skills spanning process, data, and decision modeling.
  • Proven in program, project, and change management, leading multi-stakeholder initiatives from discovery through adoption and stabilization.
  • Hands-on in defining and implementing business and operational processes.
  • Excellent in written and verbal communication, crafting clear policies, procedures, executive updates, and leadership-ready narratives.
  • Exceptional in problem-solving and analytics, with high attention to detail and data-driven decision-making.
  • Self-directed and highly motivated, operating autonomously while driving alignment across teams, functions, and time zones.
  • Expert in developing deep subject-matter knowledge in party reference data and simplifying complex topics.
  • Organized with strong time-management, effectively prioritizing across multiple workstreams.
  • Technically fluent in Excel, PowerPoint, and SharePoint; familiar with workflow/process tools and data governance/quality platforms, with a reminder to verify any third-party solutions are approved for use at JPMorgan Chase before implementation.
  • Domain-aware across party reference data, client onboarding, KYC, document management, and tax data requirements, with regulatory familiarity including MiFID, EMIR, CCPA, and NCMR.
Preferred qualifications, capabilities, and skills
  • Experienced in financial services.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. The Data Transformation Lead drives reference data strategy, global ops model redesign, data quality uplift, onboarding, and controls.

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