Posted 2d ago

AI Director

@ V2A Consulting
San Juan, Puerto Rico, Puerto Rico
OnsiteFull Time
Responsibilities:Strategic Roadmap, Program Management, Technical Governance
Requirements Summary:10+ years in data, analytics, or AI leadership; proven ability to build AI programs and lead cross-functional teams.
Technical Tools Mentioned:Machine Learning, Cloud Architectures, Data Governance, Analytics Platforms
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Job Description

Job Title:  AI Director

Division AI: Lab

Location : Puerto Rico

Job Mission

The AI Director is a high-impact leadership role responsible for the organization’s AI vision and execution. You will

define the enterprise-wide AI roadmap, manage budget, and lead a multidisciplinary team to deliver innovative

solutions that provide a competitive advantage.

Key Responsibilities

  • Strategic Roadmap: Define and execute a long-term AI strategy that aligns with the broader business goals, ensuring AI is a value-driver, not just a cost center.

  • Program Management: Oversee the entire portfolio of AI projects, managing budgets, vendor relationships, and identifying potential project risks early.

  • Technical Governance: Set the standards for data platforms, ML architectures, and engineering best practices across the enterprise.

  • Leadership & Mentorship: Recruit, manage, and mentor a high-performing team of Data Scientists, AI Specialists, and Engineers, fostering a culture of innovation.

  • Ethics & Compliance: Lead the "Responsible AI" initiative, ensuring all models are ethical, unbiased, and compliant with evolving data privacy regulations.

  • Executive Liaison: Serve as the primary point of contact for the C-suite, communicating the ROI and strategic impact of AI initiatives.


Qualifications

  • Leadership Experience: 10+ years of professional experience in data, analytics, or AI leadership roles.

Requirements

  • Leadership Experience: 10+ years in senior leadership roles within data, analytics, or AI domains.

  • Strategic Track Record: Proven success in building AI programs from the ground up and managing large-scale enterprise change.

  • Domain Expertise: Deep technical knowledge of ML, cloud architectures, data governance frameworks, and analytics platforms.

  • Stakeholder Management: Exceptional executive presence and the ability to influence stakeholders at all levels of the organization.