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Vice President Marijuana Data Analytics Jobs (NOW HIRING)

Job Summary The Vice President of Data & Analytics is a senior executive responsible for defining and executing the enterprise data strategy to drive measurable business outcomes. This leader will ...

VP, Data & Analytics

Manhattan, NY · On-site

$198K - $255K/yr

... Vice President of Data, Analytics & AI to lead the company's enterprise data and artificial intelligence strategy. Reporting to the Chief Technology Officer, this executive will build the next ...

VP, Data & Analytics

Manhattan, NY · On-site

$198K - $255K/yr

... Vice President of Data, Analytics & AI to lead the company's enterprise data and artificial intelligence strategy. Reporting to the Chief Technology Officer, this executive will build the next ...

VP, Data & Analytics

New York, NY · Remote

$196K - $253K/yr

... Vice President of Data, Analytics & AI to lead the company's enterprise data and artificial intelligence strategy. Reporting to the Chief Technology Officer, this executive will build the next ...

As VP of Business Analytics, you'll sit at the intersection of strategy and insight, turning complex data into the decisions that move a company forward. When you join OTO, your contributions have a ...

Summary Under limited direction, the VP, Risk Data & Analytics will lead the analysis, design, development, and ongoing support of data, reporting, and analytics solutions across RJF Risk Management.

VP, Data

Bradenton, FL · On-site

$180 - $280/hr

Data Science & Analytics: Responsible for advanced analytics, machine learning, and applied data ... P of Product Engineering, executive leadership, board members, and cross-functional teams to ...

Work with the VP, AI and Data Governance to establish and scale data governance, stewardship, and ... Analytics & Insight Enablement (Beyond Reporting) * Move IJM from reporting to insight-driven ...

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Vice President Marijuana Data Analytics information

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

As of Aug 11, 2026, the average yearly pay for vice president marijuana 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 cities are hiring for Vice President Marijuana Data Analytics jobs? Cities with the most Vice President Marijuana Data Analytics job openings:
What are the most commonly searched types of Marijuana Data Analytics jobs? The most popular types of Marijuana Data Analytics jobs are:
What states have the most Vice President Marijuana Data Analytics jobs? States with the most job openings for Vice President Marijuana Data Analytics jobs include:
Infographic showing various Vice President Marijuana Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

VP of Data Analytics & AI

NCM Associates, Inc.

Kansas City, MO • On-site

Full-time

Re-posted 17 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.