H.I.G. Capital

Director, AI Enablement

H.I.G. Capital$150K — $200K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in product management, AI deployment, and enterprise software, with 3 years leading AI initiatives
  • Proven track record in launching AI or agent products with measurable business impact
  • Strong technical fluency with LLM tools and enterprise integration patterns
  • Experience promoting new technologies to senior professionals
  • Excellent communication skills and executive presence
  • Preferred: Experience in financial services or private equity
  • Preferred: Familiarity with deal workflows and modern data stack

Responsibilities

  • Oversee ACE platform architecture and roadmap in partnership with the CTO
  • Translate front-office processes into actionable platform requirements
  • Manage vendor and partner relationships for platform support
  • Lead integration across various operational and reporting systems
  • Establish reusable integration patterns and governance
  • Prioritize development of bots and agents based on ROI metrics
  • Facilitate technology adoption through user-focused support and training
  • Collaborate with senior leadership on AI strategy and governance

Benefits

  • Opportunity to shape the firm's AI strategy and influence investment professionals
  • Work in a dynamic environment with exposure to senior leadership
  • Collaborative culture among technical and business teams
  • Access to cutting-edge AI technology and resources
  • Potential to lead and build a high-leverage technical team
Full Job Description
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


  • Establish reusable integration patterns, evaluation harnesses, and governance for new connections


  • Partner with IT, InfoSec, and Data teams on architecture, access controls, and data lineage


Bot and Agent Development Prioritization:

  • Maintain a prioritized backlog of bots, agents, and skills with explicit ROI hypotheses and success metrics


  • Direct internal and partner development resources against the highest-value front-office workflows


  • Set quality, evaluation, observability, and rollback standards prior to release


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


Cross-Firm Coordination and Governance:

  • 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


  • Demonstrated track record shipping AI or agent products in production with measurable business impact


  • 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


Preferred:

  • Prior experience in private equity, asset management, or other financial services


  • Familiarity with deal workflows (sourcing, diligence, portfolio monitoring, and exits)


  • Experience with Microsoft 365, Salesforce or equivalent CRM, and the modern data stack


  • Experience hiring and leading small, high-leverage technical teams


  • Bachelor's degree required; MBA or equivalent commercial training is a plus

About H.I.G. Capital

H.I.G. Capital is a global private equity and alternative assets investment firm. The firm specializes in providing capital to small and medium-sized businesses, as well as distressed companies. H.I.G. Capital was founded in 1993 and is headquartered in Miami, Florida. The firm has over 350 employees and operates in North America, Europe, and Latin America. H.I.G. Capital manages over $40 billion in assets and has invested in over 300 companies.
Learn more about H.I.G. Capital
Size
350 employees
Industry
Founded
1993

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