Available for new engagements

Fractional Head of Data & AI

Data Platforms, ML + GenAI — shipped into production

I help teams move from messy data + AI ambition to trusted metrics, scalable data platforms, and production ML/agentic systems—without the overhead of a full-time exec hire.

Download 1-page overview
2M+prices/day from dynamic pricing ML (Zeus Living)
110kcompanies scored weekly (Scale Venture Partners)
25–50%acquisition cost reduction via attribution/MMM

What I do

Four core capabilities, delivered as a unified engagement.

Data Platform & KPI Foundation

Define metrics, build trust in reporting, and modernize pipelines so decisions are fast and defensible.

ML + Agentic AI Delivery

RAG/agents/summarization, personalization, evaluation harnesses, monitoring, and cost control—built to run in prod.

Experimentation & Measurement

A/B testing platforms, attribution/MMM, incrementality, and ROI measurement that drives smarter growth decisions.

Leadership & Execution

Roadmaps, prioritization, hiring/interviewing, vendor choices, and operating cadence across Product/Eng/Finance.

Engagement options

Retainers at $200/hr · Projects at $300/hr · Milestone-based delivery.

Retainer

Fractional Head of Data & AI

$200/hr · 1–3 days/week · min 8 week retainer

  • Strategy & Roadmap
  • Metrics, KPIs & Decision Cadence
  • Platform & Reliability (SLAs)
  • ML/AI Enablement
  • Team & Execution
$200/hr
Project

Fixed-Scope Build

$300/hr · 2–8 week sprints · milestone-based delivery

  • LLM RAG or LLM Evaluation in Production
  • Agentic Workflow Automation
  • ML Model + MLOps Productionization
  • Experimentation Platform (A/B Testing) Setup
  • Marketing Measurement System/Attribution Modeling
$300/hr

Proof

Production systems shipped. Real impact measured.

Pricing MLZeus Living

Dynamic Pricing ML

Automated a production dynamic-pricing system generating 2M+ prices/day, driving ~10% revenue lift for a $100M+ business.

2M+ prices/day
ML ScoringScale Venture Partners

ML Scoring & Data Platform

Built the data platform + ML scoring pipeline to review and score 110,000 companies weekly, improving qualification and decision throughput.

110k companies scored weekly
Agentic AILemma Health

Agentic AI Evidence Workflows

Shipped HIPAA-compliant agentic workflows that aggregate multiple data sources and automate ingestion/summarization into structured outputs for evidence scoring and product decisions.

HIPAA-compliant in prod
ExperimentationGlassdoor

Experimentation Platforms

Designed and built job search + SEO A/B testing infrastructure from 0→1, supporting statistically sound tests across millions of users and high-volume behavioral event data.

Millions of users tested
AttributionGlassdoor · Hemlane · Zeus Living

Marketing Attribution + MMM

Implemented measurement systems that improved budget allocation and reduced acquisition costs by ~25–50%.

25–50% CAC reduction
RAG / LLMScale Venture Partners

LLM RAG Insights System

Implemented and evaluated a retrieval-augmented generation (RAG) insights workflow to improve research/decision support quality and usability.

RAG in production

Detailed case studies available on request.

You're a fit if…

We don't trust our metrics.
We need ML/GenAI in prod without risky surprises.
We need a data leader now, but hiring will take months.
We have data people, but no unified strategy or operating cadence.

How I work

Fast start. Continuous delivery. No ambiguity.

01
Week 1

Audit + quick wins

Access, inventory, baseline metrics, risk register, and 1–2 quick wins shipped.

02
Week 2

Roadmap + architecture

KPI definitions, target architecture, prioritized backlog, delivery plan.

03
Weeks 3–8+

Ship

Deliver production increments every 1–2 weeks. Weekly exec readout. Tight feedback loop.

Frequently asked

Common questions about how I work and what to expect.

Yes—often. I'll lead, unblock, and up-level while shipping. Most engagements involve a mix of independent delivery and working alongside in-house engineers, data scientists, or PMs.

Yes. Platform work (pipelines, infra, orchestration) and ML/GenAI delivery (models, evals, RAG, agents) are both in scope. I can also lead a team if one exists.

Minimum 2 months for ongoing fractional work. Short-scope projects start at 2 weeks. One-off audits with a 30/60/90 plan are also available as a lower-commitment starting point.

Cloud data stacks (Snowflake, BigQuery, Databricks), modern orchestration and modeling (dbt, Airflow/Prefect), ML/GenAI toolchains (LangChain, OpenAI, HuggingFace, vector DBs), monitoring and eval patterns (LLM evals, feature stores, observability). Stack-agnostic; I focus on what fits your context.

Book a 15-minute
fit check

Not a sales call. We'll quickly assess fit: your situation, timeline, and whether what I do maps to what you need.