AI Enterprise Business Value Architect

AI Enterprise Business Value Architect Remote-Travel Required

Actually Need

Need someone who can figure out which AI projects are actually worth doing across 25+ portfolio companies and translate technical work into measurable business outcomes that PE leadership cares about. This person must evaluate AI opportunities across wildly different industries healthcare tech, industrial distributors, SaaS, financial services and make defensible calls on what to build first based on ROI and company maturity. They need to speak fluent CFO/COO language while also understanding enough about AI implementation to challenge technical teams and spot bullshit vendor claims. The role exists because the technical Tiger Team can build things but can't prioritize based on business impact or connect work to Value Creation Plans. This is not a consultant who parachutes in it's an embedded operator who works directly with portfolio company leadership to sequence AI initiatives that actually move the needle financially.

Must-Have

Business case development and ROI modeling for technology initiatives with financial metrics fluencyMulti-industry operational knowledge across mid-market companies (industrial, healthcare, SaaS, financial services, business services)Dual-audience communication credible with both C-suite executives and technical teams without losing accuracyAI implementation experience spanning strategy through execution (not pure consultant, not pure technologist)Design thinking framework fluency balancing desirability, feasibility, and viability simultaneouslyAI-assisted development tooling as standard practice (GitHub Copilot, Cursor, Claude for code/documentation)Structured prompting as engineering discipline (chain-of-thought, few-shot, versioned prompt design)Cloud AI platform architecture awareness (Azure AI Services, AWS Bedrock, Google Vertex AI deployment models)

Nice-to-Have

Private equity operating model experience or Value Creation Plan framework familiarityCurrent AI landscape fluency with specific model releases and production-readiness assessmentAI adoption maturity frameworks and industry-specific ROI benchmarksHuman-AI workflow design including handoff points, confidence thresholds, and audit trails

Deal-Breakers

Pure technologist without business strategy background or C-suite advisory experienceAI evangelist who only carries promise narrative without understanding failure patternsTreating AI-assisted development tools as optional rather than standard practice in 2026

Tools & Technologies

GitHub CopilotCursorClaudeAzure AI ServicesA

Predictive Daily Work 25+ portfolio companies, building ROI models that translate technical outcomes into financial metrics aligned with each company's Value Creation Plan. Expect to facilitate discovery workshops with mixed audiences one day you're with a healthcare platform's COO discussing operational automation, the next you're challenging the Tiger Team's technical recommendations for a SaaS company. You'll spend significant time creating business cases that sequence AI initiatives by impact, defending prioritization decisions to both PE leadership and portfolio company executives who may push back. Daily work includes assessing vendor proposals, flagging architectural risks the technical team might miss, and translating between what engineers say is possible and what finance leaders need to see in terms of returns and timelines. You'll also be the reality check telling companies what they can actually absorb given their current data maturity, team capacity, and operational culture, not what an ideal-state AI roadmap looks like.