Vice President Enterprise AI

Overview

Highgate seeks a Vice President of Enterprise AI to lead the organization's adoption, governance, and realization of value from AI across corporate operations. This role involves defining where AI delivers measurable advantage and building the necessary structures, discipline, and organizational capability to scale AI with confidence.

Responsibilities

• Strategy & Roadmap: Own the enterprise AI agenda by identifying, assessing, and prioritizing opportunities by value, feasibility, risk, and cost, and converting broad interest into a governed roadmap of pilots and initiatives.
• Opportunity Assessment: Lead discovery across departments, transforming day-to-day friction into a prioritized portfolio of high-value, defensible use cases with rigorous business cases.
• Consensus Building & Mindset Shift: Build consensus across business and functional leaders, address resistance, and create shared ownership of priorities and outcomes. Foster a culture of experimentation, continuous learning, responsible innovation, and data-driven decision making.
• Governance & Steering Committee: Own the AI governance process and chair the enterprise Steering Committee, intake, review, approval, prioritization, escalation, and executive reporting, collaborating with IT, Security, Legal/Privacy, Data Services, Compliance, and Finance.
• Solutions, Agents & Automation: Decide where to extend enterprise tools, balancing between extending existing solutions and building new ones using platforms like Microsoft Copilot, Copilot Studio, Fabric, Azure, Claude, and Power Platform, ensuring solutions are secure, supportable, and aligned with architecture.
• Audoption & Enablement: Build training, playbooks, and role-based guidance with HR, L&D, and Communications to ensure approved tools become everyday advantages.
• Value Realization: Define how value is estimated, tracked, and proven; report roadmap progress, delivered value, adoption, and risk to executives, validating ROI with Finance.
• Stakeholder Engagement: Serve as a trusted advisor to business leaders, translating AI concepts into clear business language and championing a practical, value-focused approach. Engage external partners to accelerate delivery while ensuring they build internal capability rather than long-term dependency.

Qualifications

• Bachelor’s in business, information systems, computer science, analytics, engineering, or a related field, or equivalent practical experience.
• 7+ years across enterprise technology, AI enablement, digital transformation, process improvement, data/analytics, automation, or management consulting.
• Proven cross-departmental delivery—identifying needs, documenting use cases, building roadmaps, and driving technology-enabled improvement.
• Strong command of generative AI, copilots, agents, automation, and data platforms; able to evaluate on value, feasibility, risk, cost, and ROI.
• Solid grounding in enterprise security, data governance, privacy, risk, and responsible AI.
• Excellent communication and facilitation skills, with the ability to influence without direct authority.
• Hands-on experience with Microsoft 365 Copilot, Copilot Studio, Fabric, Azure, Power Platform, Claude, Foundation, Lindy, Perplexity, Jasper, Gemini, OpenAI/Anthropic, or comparable platforms.
• Experience with AI and data governance, responsible-AI frameworks, and technology risk; building bots, agents, or AI-enabled reporting; and enterprise data platforms.