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Director of AI Strategy & Value Creation
Director of AI Strategy & Value Creation
The Director of AI Strategy & Value Creation will lead LLR's portfolio-wide AI agenda, identifying practical AI opportunities, implementing solutions, and driving measurable business results. This role involves both strategic planning and hands-on execution, working with portfolio company executives and LLR deal teams to foster AI adoption and strengthen investment theses.
About the role
Role Overview
The Director of AI Strategy & Value Creation (“Director of AI”) will lead LLR’s portfolio-wide AI agenda. This person will help companies identify practical AI opportunities, implement solutions, and drive measurable business results, while also supporting investment decision-making. The role combines strategy and hands-on execution, working closely with portfolio company executives and LLR deal teams, consistent with LLR’s collaborative approach to helping companies scale.
What Success Looks Like
- Clear, measurable EBITDA impact across portfolio companies
- Stronger AI-driven differentiation in new and existing investments
- Faster, more confident AI adoption by management teams
Key Focus Areas
Portfolio Value Creation
- Identify high-impact AI use cases tied to revenue growth, margin expansion, and efficiency
- Build practical AI roadmaps tailored to each company’s data and capabilities
- Design and implement AI solutions, including automation, analytics, and LLM applications
- Track results and ensure initiatives deliver measurable value
Deal Team Support
- Assess AI maturity, data assets, and competitive positioning during diligence
- Identify AI-related risks and upside opportunities
- Quantify potential value creation to strengthen investment theses
AI Enablement & Leadership
- Upskill company leadership and raise AI literacy across the portfolio
- Lead workshops to showcase practical, high-impact AI use cases
- Build repeatable playbooks, tools, and partner networks to scale AI adoption
- Help companies test ideas quickly and move from concept to implementation
- Share best practices and accelerate cross-portfolio learning
Preferred Qualifications
- 8–12+ years of experience in AI, machine learning, data science, or analytics
- Experience working in SaaS, tech-enabled services, consulting, or private equity environments
- Hands-on experience building and deploying modern AI solutions, including LLM applications
- Strong business acumen and ability to connect AI initiatives to P&L impact
- Clear communicator who can translate technical concepts into practical action
- Comfortable balancing strategy and execution across multiple companies
What This Role Offers
- A high-impact, visible role at the center of LLR’s value creation strategy
- The opportunity to shape AI strategy across a diverse portfolio of growth companies
- A collaborative environment focused on practical results and long-term partnership