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Intern Vice President Data & Analytics Jobs (NOW HIRING)

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 ...

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 ...

Scribd, Inc

VP, Data & Analytics

San Francisco, CA · On-site

What We're Looking For * 15+ years in analytics, data science, or a related discipline, with 5+ years leading a D&A organization at the VP level or equivalent - managing directors and their teams.

Magellan Health, Inc.

VP, Data and Analytics

Frisco, TX · On-site

$159K - $287K/yr

The VP, Data and Analytics is accountable for the full lifecycle of Magellan Health's enterprise data and analytics capability - from foundational data engineering and governance through advanced ...

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 ...

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

As of Jul 13, 2026, the average hourly pay for intern vice president data & analytics in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Vice President Data & Analytics jobs? The most popular types of Vice President Data & Analytics jobs are:
Intern Vice President Data Analytics jobs near you
VP of Data Analytics & AI

VP of Data Analytics & AI

NCM Associates, Inc.

Kansas City, MO • On-site

Full-time

Posted 18 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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