Blue Orange Digital is looking to solve the business problem of helping Private Equity (PE) firms and their portfolio companies unlock measurable business value with modern analytics and AI, driving EBITDA uplift, revenue acceleration, and operational efficiency across hold periods.
Requirements
- Led 2+ production AI programs with quantified EBITDA/revenue/cost impact and documented before/after metrics.
- Knowledge in LLMs/GenAI & RAG, including evaluation strategies, LLMOps/MLOps, governance, and safety.
- Working fluency in Python and one major cloud (AWS/Azure/GCP); able to review/guide architectures and cost models.
- Knowledge of PE value‑creation frameworks (synergy models, carve‑outs/roll‑ups, 100‑day execution).
- Certifications (cloud AI/ML; Databricks/Snowflake) or advanced degree (MS/PhD/MBA).
- Sector experience in Industrial/Manufacturing, B2B Services, Healthcare, CPG/Retail, or other common PE areas.
- Public thought leadership and conference speaking track record.
Responsibilities
- Shape diligence findings, author 100‑day AI plans, and govern solution strategy.
- Direct the build of secure, scalable AI products (e.g., LLM copilots, retrieval/RAG systems, intelligent automation, forecasting) that deliver quantified value.
- Own solution vision and reference architectures for LLM/RAG, predictive & prescriptive models, and intelligent automation.
- Translate strategy into data/feature readiness, MLOps/LLMOps pipelines, and measurable success criteria (KPIs, SLAs, cost of serve/TCO).
- Establish and enforce AI risk controls, including evaluation harnesses, bias/safety guardrails, human-in-the-loop approvals, PII handling, auditability, observability, and drift management.
- Guide delivery from prototype to production; approve go‑live against security, reliability, and ROI thresholds.
- Develop diagnostics, ROI models, and diligence checklists that accelerate pursuit cycles and improve win rates.
Other
- Travel: 25–40% to PE offices, portfolio sites, and industry events.
- Work Authorization: Candidates must be authorized to work in the US.
- Compensation: Competitive base + variable with upside tied to influenced revenue and firm performance (indicative OTE range $220k–$320k, adjusted for market/experience).
- Degree Requirements: Advanced degree (MS/PhD/MBA) preferred.
- Leadership: Will build a small AI strategy pod (2–5) with dotted‑line influence over Solution Architects & Principal Engineers; does not directly manage delivery squads.
