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Vice President Data & Analytics Jobs (NOW HIRING)

PFSbrands

Vice President, Data

Holts Summit, MO

Description VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY ... Define and execute a multi-year data and analytics strategy aligned to business goals across all ...

PFSbrands

Vice President, Data

Holts Summit, MO · On-site

Description VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY ... Define and execute a multi-year data and analytics strategy aligned to business goals across all ...

BNY

Vice President, Data Analyst & BI

Berwyn, PA

Vice President, Data Analyst & BI At BNY, our culture allows us to run our company better and ... Develop and implement data analytics strategies by utilizing advanced analytical tools and ...

OptimizeRx

Vice President, Data and Analytics Products

$200K - $220K/yr

Vice President, Data amp; Analytics Products About OptimizeRx OptimizeRx is a leading healthcare technology company that's redefining how life science brands connect with patients and healthcare ...

New

Verastem

Vice President Data Analytics & Insight

Boston, MA · On-site

$315K - $375K/yr

Position Summary The Vice President, Market Data, Analytics & Insights is a high-impact role responsible for shaping andleading a best-in-class analytics capability that drives commercial performance ...

Impact Advisors

Vice President, Data & AI

$215K - $330K/yr

The new VP will harness the firm's existing data and analytics capabilities to extend services to a larger client base and more diverse market segments. This individual will enhance and help drive ...

cxb

Senior Director, Data Analytics

Manhattan, NY · On-site

Reporting to the Assistant Vice President, Data Operations and Strategy, the Senior Director, Data Analytics manages the organization's data as a critical asset of the work; delivering insights that ...

Centerline

Vice President Data Center

Richmond, VA · On-site +1

The Vice President(VP), - Data Center Services(DCS) will play a key leadership role in ensuring the successful sourcing and delivery of complex infrastructure projects within the data center ...

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How much do vice president data & analytics jobs pay per year?

As of Jul 22, 2026, the average yearly pay for vice president data & analytics in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What does a Vice President of Data & Analytics do?

A Vice President of Data & Analytics oversees an organization's data strategy, ensuring data-driven decision-making and optimizing analytics processes. They lead teams responsible for data governance, engineering, and business intelligence while aligning data initiatives with business goals. This role involves leveraging data to drive innovation, enhance operational efficiency, and provide strategic insights. They also ensure data quality, compliance, and security while implementing advanced analytics and AI-driven solutions. Ultimately, they help the organization harness data as a competitive advantage.

How much does a vice president of data analytics make?

A Vice President of Data & Analytics typically earns between $150,000 and $250,000 annually, with total compensation often including bonuses and stock options. Salaries vary based on industry, company size, location, and experience, and the role usually requires strong leadership skills and expertise in data management and analytics tools.

What does a VP of data analytics do?

A Vice President of Data & Analytics oversees an organization’s data strategy, manages data teams, and ensures data-driven decision-making. They develop analytics frameworks, implement data governance, and often work with tools like SQL, Python, or Tableau to extract insights that support business goals.

What are the key skills and qualifications needed to thrive in the Vice President Data & Analytics position, and why are they important?

To thrive as a Vice President Data & Analytics, you need deep expertise in data strategy, advanced analytics, and team leadership, usually with an advanced degree in a quantitative field and significant management experience. Familiarity with data warehousing platforms (such as AWS, Snowflake), analytics tools (like Tableau, Power BI), programming languages (e.g., Python, SQL), and certifications such as Certified Analytics Professional (CAP) or Six Sigma are highly valuable. Exceptional communication, visionary leadership, and cross-functional collaboration skills help drive organizational change and engage stakeholders. These qualifications enable successful navigation of complex data environments and the ability to transform data insights into strategic business value.

Is SVP a high position?

A Vice President (VP) of Data & Analytics is generally considered a high-level executive role within an organization, often reporting directly to C-level executives such as the Chief Data Officer or Chief Executive Officer. Senior Vice President (SVP) is typically a higher rank than VP, indicating greater responsibility and authority, and is often part of the company's senior leadership team.

What are the main challenges a Vice President Data & Analytics typically faces in their role?

A Vice President Data & Analytics often faces challenges such as aligning diverse data initiatives with overarching business objectives, managing data quality and governance, and fostering a data-driven culture across the organization. Balancing day-to-day operational management with long-term strategic planning for emerging technologies can also be demanding. Additionally, this role requires effective cross-departmental collaboration to ensure data solutions address both technical and business needs. Overcoming these challenges is crucial for driving impactful insights and maintaining a competitive advantage in the marketplace.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often executive-level positions such as Chief Data Officer (CDO) or Vice President of Data & Analytics, with salaries exceeding $200,000 annually. These roles typically require extensive experience, advanced skills in data strategy, leadership, and familiarity with tools like SQL, Python, or cloud platforms.
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What are the most commonly searched types of Data & Analytics jobs? The most popular types of Data & Analytics jobs are:
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Vice President Data Analytics jobs near you
Infographic showing various Vice President Data & Analytics job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 81% In-person, 6% Hybrid, and 13% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.
VP of Data Analytics & AI

VP of Data Analytics & AI

NCM Associates, Inc.

Kansas City, MO • On-site

Full-time

Posted 27 days ago

Job description

The Vice President of Data, Analytics & AI will lead our new Data, Analytics, and AI function, reporting directly to the COO. The VP, Data is responsible for defining and executing the enterprise data, analytics, and AI roadmap to enable connected and flexible data, client-facing digital products, and capabilities ranging from data governance and data management to architecture and engineering. This role provides executive leadership for data, analytics, and AI within the Data function and across NCM, ensuring data assets are scalable, secure, and aligned to business strategy. The VP will build and lead high-performing teams, modernize data platforms, govern data and AI responsibly, and deliver assets and digital products that generate measurable value for our business and our clients.
Duties and Responsibilities
Executive Leadership
  • Define and execute the enterprise data, analytics, and AI roadmap and investment plans aligned to business strategy.
  • Assess organizational readiness for data initiatives, including processes, tools, skills, and culture.
  • Forecast data, infrastructure, and resource needs to support business demand and transformation initiatives.
  • Partner with executive leaders to prioritize initiatives and ensure stakeholder alignment.

Data Governance, Risk & Compliance
  • Develop, implement, and enforce enterprise data policies to ensure regulatory compliance, ethical use of data, and risk mitigation.
  • Ensure ownership, management, and stewardship of data assets across the data lifecycle.

Digital Products & Value Delivery
  • Own the lifecycle management of data, analytics, and AI products, from ideation and prioritization through delivery and ongoing enhancement to create and maintain high-quality, reusable data assets
  • Define and link key performance indicators (KPIs) to digital products to measure business impact and drive continuous improvement.
  • Plan the evolution of digital products with clear timelines, dependencies, and milestones to ensure reliability, performance, and user satisfaction.
  • Foster a culture of data-driven decision-making across the organization through enablement and self-service analytics.

Artificial Intelligence & Machine Learning
  • Lead the introduction of AI and machine learning solutions to automate processes and enhance business outcomes.
  • Ensure responsible AI practices, including bias mitigation, explainability, and compliance with internal and external standards.

Data Architecture & Engineering
  • Guide architecture and engineering to create and maintain standardized, connected, and flexible data structures across the enterprise.
  • Standardize key data domains (e.g., customer, product, reference data), data integration patterns, and data storage solutions to ensure high-quality data, reusable data assets, seamless interoperability with internal and external systems, scalability, performance and cost optimization.

Data Operations, DevOps & Platform Modernization
  • Enable collaborative, automated, and reliable data operations.
  • Implement processes and technologies to accelerate delivery and reduce risk.
  • Implement encryption, access management, and security controls for data at rest and in motion to ensure data privacy and compliance.
  • Ensure applications are scalable, performant, and integrated with enterprise data platforms.

Talent Development & Enablement
  • Build, lead, and mentor multidisciplinary teams across data governance, data management and stewardship, architecture, data engineering, analytics, AI, and platform operations.
  • Deliver training and enablement programs to build data literacy and advanced skills across the organization.
  • Establish career paths, performance standards, and a culture of innovation and continuous improvement.

Qualifications
  • 15+ years of experience in data, analytics, and technology leadership, with significant experience at the enterprise level.
  • Proven track record of delivering large-scale data, analytics, and AI initiatives that drive measurable business outcomes.
  • Deep expertise in data governance, analytics, architecture (business, data, integration, and solution architecture), and modern data platforms.
  • Strong understanding of regulatory, privacy, and ethical considerations related to data and AI.
  • Demonstrated ability to influence executive stakeholders and translate business strategy into technical execution.
  • Experience building and leading high-performing, cross-functional teams and leading those teams through change and ambiguity

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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