AI Transformation Owner, CRO - jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Vice President, Agentic Systems based in United States.

The Vice President, Agentic Systems will lead the vision, strategy, and execution of next-generation AI agent technologies within a high-impact cybersecurity environment. This executive role sits at the intersection of artificial intelligence, machine learning, and threat research, driving innovation through scalable agentic systems. You will guide teams in developing intelligent solutions that automate complex workflows and enhance operational capabilities. The role requires a strategic leader who can translate business needs into advanced technical initiatives and measurable outcomes. Working across engineering, data science, and operational teams, you will shape the future direction of AI-driven systems. This is an opportunity to influence enterprise-wide AI transformation while collaborating with experts in a fast-moving, innovation-focused environment.

Accountabilities:

The Vice President, Agentic Systems will provide executive leadership for AI research and development initiatives, building scalable solutions that improve operational efficiency and advance intelligent automation. The role requires strong technical vision, cross-functional collaboration, and the ability to transform emerging AI capabilities into practical business outcomes.

• Lead the development and evolution of agentic systems that automate complex analyst workflows and support advanced operational processes.
• Define the strategic vision and technical direction for AI agent research, development, and deployment initiatives.
• Collaborate with cybersecurity experts and technical stakeholders to identify opportunities where AI can enhance decision-making and productivity.
• Build and lead high-performing teams focused on artificial intelligence, machine learning, and computational research.
• Establish operational frameworks, governance models, and best practices for deploying reliable and scalable AI systems.
• Partner across engineering, data science, and managed services teams to accelerate AI innovation and implementation.
• Develop objective-driven data science initiatives and define success metrics to measure impact.
• Communicate technical strategies, progress, and business value effectively to executives and cross-functional stakeholders.

Requirements:

The ideal candidate is an experienced AI and data science leader with a strong background in building advanced technology solutions, leading technical teams, and driving strategic transformation in complex environments.

• 12+ years of experience in data science, machine learning, computational research, or related technical fields, with a proven record of leading impactful technical teams.