VP of Data Analytics & AI

MRA Search; Atlanta (GA); On-site; USD 200,000 - 350,000; Full time

Job summary

MRA Search is assisting a PE-owned enterprise in Atlanta seeking a Vice President of Data, Analytics & AI to lead company-wide data and AI strategy. The role requires transforming data into actionable insights, establishing an AI roadmap, and delivering measurable improvements in productivity and profitability.

Responsibilities include leading AI/analytics initiatives, building scalable capabilities, governance, and partnering with senior leadership to drive enterprise value.

Qualifications

• 15+ years of progressive experience in data, analytics, AI, technology, strategy, or related disciplines with significant executive leadership.
• Experience building/operating an enterprise analytics/AI strategy within a large organization.
• Strong understanding of AI, ML, generative AI, predictive modeling, data science, BI, and automation.
• Proven ability to translate technology and analytics into measurable business/financial results.

Responsibilities

• Develop and lead enterprise-wide data, analytics and AI strategy.
• Establish a multi-year AI roadmap focused on productivity and profitability improvements.
• Identify and prioritize high-value AI opportunities across the organization.
• Lead predictive modeling and analytics initiatives for workforce, forecasting, operations, and finance.
• Develop AI-enabled solutions to automate processes and improve decision-making.
• Build scalable capabilities in ML, generative AI, predictive analytics, data science, and BI.
• Translate complex data into practical recommendations for frontline execution.
• Create executive dashboards and KPIs for leadership visibility.
• Establish governance around data, AI models, data quality, privacy, and responsible AI usage.
• Evaluate emerging AI technologies, platforms, vendors, and partnerships.
• Build and lead a high-performing analytics and data team.

Skills

AI strategy

Executive leadership

Data analytics

Education

Bachelor’s degree

Advanced degree in analytics or related field

Job description

Job Title: Vice President, Data, Analytics & AI

Company Size: Approximately $3.2 billion in annual revenue

Position Overview

Our client who is a $3.2 Billion PE owned company is seeking a highly strategic and innovative Vice President of Data, Analytics & AI to lead the company’s enterprise-wide data, analytics, artificial intelligence, and advanced analytics strategy.

This executive will be responsible for transforming the company's extensive operational and commercial data into actionable insights, improved decision-making, greater operational efficiency, and measurable financial results. This hands‑on VP will establish and execute a comprehensive AI and analytics roadmap, identifying opportunities to deploy predictive analytics, machine learning, generative AI, automation, and business intelligence across the organization.

Working closely with executive leadership and leaders across Operations, Finance, Commercial, Technology, Human Resources, and other functions, this individual will help position data and AI as strategic capabilities throughout the company.

Key Responsibilities:

• Develop and lead the company’s enterprise-wide data, analytics and artificial intelligence strategy.
• Establish a multi-year AI roadmap focused on measurable improvements in productivity, profitability, customer service, and operational performance.
• Identify and prioritize high-value AI and advanced analytics opportunities throughout the organization.
• Lead predictive modeling and analytics initiatives involving workforce planning, labor optimization, scheduling, forecasting, airport and station performance, safety, customer service, and financial performance.
• Develop AI-enabled solutions that improve decision-making and automate manual or repetitive business processes.
• Build scalable capabilities in machine learning, generative AI, predictive analytics, data science, and business intelligence.
• Partner closely with operational leadership to translate complex data into practical recommendations that improve frontline execution.
• Create executive dashboards, KPIs, and analytical tools that provide leadership with timely visibility into business performance.
• Establish appropriate governance around enterprise data, AI models, data quality, security, privacy, and responsible AI usage.
• Evaluate emerging AI technologies, platforms, vendors, and strategic partnerships.
• Build, develop, and lead a high-performing team across analytics, data science, AI, and related disciplines.
• Develop a culture in which leaders throughout the organization routinely use data and analytics to make business decisions.
• Quantify the financial impact and ROI of major analytics and AI initiatives.
• Serve as a strategic advisor to senior leadership regarding emerging AI capabilities and their potential impact on our client's business.

Qualifications:

• 15+ years of progressive experience in data, analytics, artificial intelligence, technology, strategy, or related disciplines, including significant executive leadership experience.
• Demonstrated experience building and executing an enterprise analytics and/or AI strategy within a large, complex organization.
• Strong understanding of AI, machine learning, generative AI, predictive modeling, data science, business intelligence, and automation.
• Proven ability to translate advanced technology and analytics into measurable business and financial results.
• Experience using analytics to improve labor-intensive, operationally complex businesses strongly preferred.
• Experience in aviation, transportation, logistics, hospitality, field services, or another large-scale service environment is highly desirable.
• Demonstrated success building and leading high-performing analytics and data teams.
• Strong executive presence with the ability to communicate effectively with senior executives, operational leaders, technical teams, and other stakeholders.
• Bachelor’s degree required; advanced degree in analytics, data science, computer science, engineering, mathematics, business, or a related field preferred.

Ideal Candidate Profile:

The successful candidate will combine deep analytics and AI expertise with strong commercial and operational business judgment. Our client is not simply looking for a technologist; the company is seeking an executive who understands how to apply data and AI to real-world business problems and generate measurable improvements in revenue, margin, productivity, customer experience, and operational performance.

This individual will be comfortable moving between the boardroom and the operational environment and will have the ability to turn emerging AI capabilities into practical solutions that create meaningful enterprise value.