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.

• Communication and Influence: Exceptional executive communication, stakeholder management, collaboration, and decision-making skills, with the ability to align diverse teams around a shared vision.

Benefits

• Remote Work: Flexibility to work remotely from a home office in an eligible state where the organization operates. The role may require up to 25% travel, depending on business needs and proximity to key office locations.

• Health and Wellness: Medical, dental, and vision insurance for eligible associates.

• Financial Security: Access to a 401(k) retirement plan and life insurance, subject to eligibility requirements.

• Paid Time Off: Full-time associates accrue 15 vacation days annually, with prorated allowances for eligible part-time schedules. Sick leave accrues at 10 days annually for full-time associates, with prorated allowances for other eligible schedules.

• Paid Holidays: Seven paid national holidays and one floating holiday.

• Parental Leave: Six weeks of paid parental leave after 12 months of employment.

• Disability Coverage: Short-term and long-term disability coverage for associates scheduled to work at least 30 hours per week.

• Education Assistance: Support for eligible educational and professional development expenses.

• Community and Inclusion: Opportunities to participate in Associate Resource Groups that foster community, inclusion, and professional growth.

• Eligibility Conditions: Most listed benefits apply to associates scheduled to work at least 20 hours per week. Certain benefits have additional eligibility requirements, and coverage varies by work schedule and employment status.

• Compensation: The salary range for this position is not specified in the available job posting and should be confirmed during the recruitment process.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.