Director, Enterprise AI Enablement (AI)

TL;DR

Director, Enterprise AI Enablement (AI): Own and drive hirify.global's internal AI transformation roadmap, building an enterprise AI operating model with an accent on AI use case pipeline, governance, and scalable architecture patterns. Focus on leading an AI Enablement team, enabling adoption across distributed functions, and measuring ROI through AI KPIs while coordinating vendor and platform decisions.

Company

hirify.global helps organizations orchestrate dynamic workforce and real-time customer service actions to improve agility and human experiences.

What you will do

• Own and execute the internal AI transformation roadmap by translating strategy into a prioritized, phased plan.
• Define and manage the AI use case pipeline from intake and evaluation through prioritization and sequencing across business functions.
• Establish enterprise AI architecture using strategic framework selection and standardized, reusable development patterns.
• Lead and grow an AI Enablement team for use case delivery, workflow automation, and business enablement.
• Manage internal AI tools and platforms, ensuring governance, adoption, and measurable business value.
• Build and chair an AI Center of Excellence, set AI governance frameworks, and drive change management and enablement programs.

Requirements

• Work authorization: must have the legal right to work in the country where the role is based at the time of application.
• 10+ years of experience in SaaS, enterprise software, technology enablement, or transformation roles.
• 3 to 5+ years leading AI adoption initiatives, automation programs, or enterprise change management efforts.
• Hands-on experience with AI and GenAI platforms (e.g., OpenAI, Anthropic, Microsoft Copilot) plus working understanding of LLMs, APIs, and AI-native tooling.
• Proven ability to lead organizational change and drive adoption across distributed, cross-functional teams.
• Experience with AI governance, ethical AI frameworks, data privacy standards, and evolving AI regulations.

Culture & Benefits

• People-first culture with trust, respect, and flexibility.
• Practical, collaborative approach focused on outcomes and real-world delivery.
• Emphasis on experimentation, innovation, and building AI fluency across the organization.
• Role includes direct leadership and decision-making for AI transformation, reporting to the VP of Technology.