Washington DC-Baltimore Area
Over 17 years I’ve architected AI and data systems for the Fortune 500, led teams at Google Cloud, and built platforms from zero to production. I specialize in the gap between strategy and execution: agent architectures that work in production, data monetization models that generate real revenue, and AI governance frameworks that satisfy regulators without paralyzing teams. Today I’m building Spartera — a next-generation Analytics as a Service marketplace — and I selectively advise organizations navigating complex AI transformations. Previously: Senior AI Architect, Google Cloud Platform ($50M+ revenue impact, 85% faster deployments) • Adobe • Omnicom/Annalect • M.S. Data Science, Northwestern — Summa Cum Laude, 4.0 GPA. If your AI initiative needs senior-level strategy and hands-on technical leadership: tonydiloreto.com
Building a next-generation Analytics as a Service (AaaS) marketplace that enables businesses to securely monetize data insights via API — without moving raw data from the source environment. Designed the full technical architecture, data governance framework, and go-to-market strategy. Currently in active pilot with 15+ enterprise data and research firms ahead of broader launch. Spartera addresses a fundamental gap in the data economy: organizations sitting on valuable proprietary data have no simple, secure way to monetize it. We’re building the infrastructure to change that.
Drove $50M+ in new revenue for Google Cloud by designing and deploying AI pipeline architecture that cut customer deployment time by 85%+. Managed and mentored a team of 8 AI engineers. Projected 1–2% annual revenue growth for a national grocer’s digital business through a custom ML-powered recommendation engine. Reduced infrastructure costs 30%+ for a leading media company by rearchitecting their cloud data warehouse and AI environment. Served as the technical bridge between C-level strategy and engineering execution for Fortune 500 clients across retail, media, healthcare, and financial services.
Consulted C-level executives at Fortune 500 companies, saving clients tens of millions in technology costs by redesigning legacy infrastructure on Google Cloud Platform. Led the re-architecture of the world’s largest media agency’s global digital analytics platform — ingestion, storage, and processing — reducing time to insight and total operating costs. Grew one retail customer’s digital sales 15% through improved recommender systems. Reduced IT expenses 50%+ by leading the design and rollout of a leading retailer’s entire data warehouse infrastructure, managing national teams of consultants and architects.
Improved key digital performance metrics (CTR, CVR, AOV) for Google’s largest travel advertisers through innovative analytical models, increasing platform loyalty and advertising revenue. Co-delivered new cloud-based analytical systems across Google’s analyst organization, unlocking millions in net new customer spend and reducing time to decision for business leaders.
Directed the rollout and enhancement of Omnicom’s enterprise Data Management Platform, overseeing all strategic AdTech integrations for media planning and buying. Led technical presentations to prospective and existing clients, contributing to tens of millions of dollars in new business. Managed a cross-functional team of analysts, managers, and data scientists.
Developed behavioral optimization algorithms and predictive models that saved enterprise retail clients millions in marketing and research costs. Architected cross-channel digital marketing campaigns for Fortune 500 companies. Supported data science initiatives that helped a leading global telecom save hundreds of thousands in annual advertising spend through improved visitor targeting and personalization strategy.
Data warehousing, ETL, and analytics reporting for enterprise clients. Early career foundation in consulting, financial systems, and client management.