Vice President - AI, Data and Analytics

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Vice President – AI, Data and Analytics based in the United States.

This executive leadership role offers the opportunity to shape and drive an enterprise-wide transformation through artificial intelligence, data, and advanced analytics. Working closely with the Chief Information Officer and senior business leaders, you will define the strategic direction, technology roadmaps, and operating models that turn emerging technologies into measurable business value. You will oversee capabilities spanning AI, machine learning, data engineering, data science, business intelligence, analytics, and data governance. By modernizing platforms and promoting responsible AI adoption, you will help improve customer experiences, operational efficiency, financial performance, and strategic decision-making. The role combines long-term vision with hands-on execution, team development, and cross-functional collaboration. This is a remote opportunity for an experienced technology executive, with travel of up to 25% depending on business needs.

Accountabilities

• Enterprise Strategy: Partner with the Chief Information Officer to develop and execute the enterprise strategy for AI, data, analytics, business intelligence, and data governance, including technology platforms, investment priorities, roadmaps, and operating models.
• Business Partnership: Collaborate with senior leaders across the organization to identify, prioritize, and deliver high-value AI and data initiatives that improve customer experience, operational performance, financial results, and business outcomes.
• AI and Data Delivery: Lead the acquisition, development, deployment, and enterprise-wide adoption of AI solutions, data management capabilities, and business analytics platforms.
• Responsible Governance: Ensure AI and data initiatives follow appropriate standards for privacy, security, compliance, risk management, and ethical use, working closely with technology, legal, compliance, audit, and risk teams.
• Adoption and Value Realization: Drive organizational adoption through training, best practices, governance frameworks, portfolio management, and performance measurement to demonstrate measurable business value.
• Vendor and Technology Partnerships: Direct vendor selection, strategic partnerships, platform investments, and ongoing performance management across AI, data, analytics, and related technologies.
• Executive and Talent Leadership: Build and lead high-performing, cross-functional teams across AI, data engineering, analytics, business intelligence, and data science, fostering accountability, innovation, collaboration, and continuous learning.

Requirements

• Education and Experience: Bachelor’s degree or higher, or at least four years of professional work experience. A minimum of 15 years of progressive experience in technology, data, analytics, AI, or digital leadership is required, including substantial responsibility for enterprise-scale AI, data, and analytics functions.
• Advanced Education: A master’s degree in Computer Science, Data Science, Analytics, Engineering, Business Administration, or a related field is preferred.
• Strategic Leadership: Demonstrated success developing and executing enterprise AI, data, and analytics strategies. Experience in telecommunications or digital infrastructure is strongly preferred.
• Team Development: Proven ability to lead large, cross-functional organizations and build high-performing AI, data, analytics, or centers of excellence.
• Technical Expertise: Deep knowledge of modern AI, machine learning, generative AI, data management, business intelligence, advanced analytics, data governance, and cloud-based data platforms.
• Data Modernization: Experience modernizing data environments and implementing scalable, cloud-based analytics capabilities, including self-service solutions.
• Technology Delivery and Governance: Strong understanding of Agile delivery, product management, DataOps/MLOps, enterprise architecture, security, privacy, compliance, and technology operating models.
• Business Impact: Ability to translate complex business needs into scalable technology solutions, influence senior executives, and deliver measurable outcomes.
• Vendor Management: Experience managing strategic technology vendors, external partners, and enterprise platform relationships.
• Commu…