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Blue Orange Digital · 1 month ago

Vice President of Data & AI

New York, United States, US

Full-time

Hybrid

Director/Executive

Blue Orange Digital helps organizations unlock measurable business value with modern analytics and AI. The Vice President of Data & AI is a senior, client-facing leader responsible for shaping diligence findings, authoring AI plans, and directing the build of secure, scalable AI products that deliver quantified value for clients.

AnalyticsArtificial Intelligence (AI)Big DataCloud Data ServicesData IntegrationData VisualizationMachine LearningPredictive AnalyticsSoftware

Responsibilities

Run rapid AI opportunity scans, assess tech/data readiness and risks (security, privacy, IP, model risk), and produce a value hypothesis with sizing

Prioritize 2–3 high‑impact bets with quantified ROI, staffing/budget, architecture approach, and clear acceptance criteria

Build reusable components and playbooks; implement shared services and enable cross‑portco rollout for repeatable gains

Assemble value evidence (before/after KPIs), maturity roadmaps, and buyer‑facing narratives that crystallize AI‑driven enterprise value

Own execution of the client discovery & scoping process for efforts across data platform implementations & AI initiatives

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)

Guide delivery from prototype to production; approve go‑live against security, reliability, and ROI thresholds

Own win themes and solution narratives in proposals and RFPs; partner with Sales Ops on assumptions, pricing guardrails, risks, and acceptance criteria

Develop diagnostics, ROI models, and diligence checklists that accelerate pursuit cycles and improve win rates

Represent Blue Orange at PE and AI industry events; deliver talks/demos that open doors and build trust

Publish white papers, teardown analyses, and LinkedIn POVs that position us as the leader in AI for PE value creation

Mentor architects/engineers/consultants in consulting fundamentals (facilitation, scoping under ambiguity, stakeholder management)

Shape hiring, training, and strategic partnerships across cloud, data, and AI ecosystems

Qualification

Production AI programsPE advisory experienceData platform architectureLLMs/GenAI knowledgePython proficiencyCloud platform experienceExecutive consultingStakeholder managementPublic speakingThought leadershipMentoring

Required

Led 2+ production AI programs with quantified EBITDA/revenue/cost impact and documented before/after metrics

Demonstrated PE/Portco advisory or value‑creation experience

Strong consulting experience: Executive advisory, facilitation, value cases/proposals, stakeholder alignment, and driving adoption from pilot to scale

Knowledge in LLMs/GenAI & RAG, including evaluation strategies, LLMOps/MLOps, governance, and safety

Demonstrated experience in design and implementation of data platforms & architectures in leading cloud data platforms

Executive consulting: run discovery, craft AI roadmaps and investment cases, and present to C‑suite/boards

Working fluency in Python and one major cloud (AWS/Azure/GCP); able to review/guide architectures and cost models