Director, AI Enablement

Role Overview

H.I.G. Capital is hiring a Director, AI Enablement to execute the firm's AI strategy for investment professionals and front-office staff. The role owns ACE (Advanced Context Engine), H.I.G.'s proprietary single-pane-of-glass AI platform, and is accountable for the scalable architecture, roadmap, systems integration, agent development, and adoption work required to translate AI capability into measurable gains in productivity, deal velocity, and decision quality.

The Director will set platform direction in close partnership with firm leadership, including the CTO, the GenAI Steering Committee, the Managing Director of Commercial and Digital, deal team leadership, and the AI Training and Development function.

Role Responsibilities

• ACE Platform Architecture and Roadmap: Oversee the scalable architecture and product roadmap for ACE in partnership with the CTO and firm leadership
• Translate front-office workflows into platform requirements, release plans, and reliability and performance targets: Manage vendor and partner relationships supporting the platform and represent H.I.G. with strategic AI providers
• Systems Integration: Lead data, MCP, and connector integration across deal sourcing, CRM, research, document management, and portfolio reporting systems
• Bot and Agent Development: Prioritize a backlog of bots, agents, and skills with explicit ROI hypotheses and success metrics
• Investment Professional Adoption and Enablement: Drive adoption across investment professionals through workflow integration, white-glove support, and embedded enablement
• Define and report on usage, impact, and quality metrics by team and workflow: Partner with the Director of AI Training and Development on capability building and the GenAI Champions network
• Surface portfolio-relevant patterns to the Operating Partner team where appropriate: Coordinate with the GenAI Steering Committee, Champions network, and senior firm leadership on direction and trade-offs
• Contribute to AI governance, acceptable use, and skills policy:

Requirements & Qualifications

• Required: 8+ years of combined experience across product management, applied AI deployment, and enterprise software, including at least 3 years leading AI or platform initiatives at scale
• Strong technical fluency in LLM tooling (Anthropic, OpenAI), retrieval, agent frameworks, MCP, and enterprise integration patterns
• Experience driving adoption of new technology with senior, demanding professional users
• Excellent written and verbal communication and executive presence