Tony DiLoreto

About

Visionary and inspirational AI & Revenue Data Strategy leader with 17+ years of experience in Data Analytics, Cloud Computing, and AI. Specializes in building and scaling Revenue Data & Analytics organizations, defining secure reference architectures for Fortune 500 AI initiatives, and driving $MM+ revenue impact. Expert in AI use-case discovery, risk-tiered governance, and deploying agentic frameworks that align regulators with C-suite KPIs, including “Zero Data Movement” Analytics as a Service and fast AI agent deployment architectures.

Experience

• Founder & CTO · Spartera Inc.05-01-2024

  ● Accomplished a 100% reduction in data egress risk for 15+ pilot enterprise firms by engineering a "Zero Data Movement" Analytics as a Service (AaaS) framework that delivers API-based insights without moving raw source data. ● Accelerated AI agent deployment time to under 60 seconds by designing SparteraConnect, a reference architecture utilizing the Model Context Protocol (MCP) to securely bridge private data to COTS tools like Microsoft Copilot. ● Reduced organizational overhead by architecting Headcount, a managed Agents-as-a-Service platform currently in pilot with 3 firms, which automates administrative roles through secure, infrastructure-ready AI agents. ● Defined a 12-to-18-month AI adoption roadmap for strategic clients by facilitating structured discovery workshops to prioritize use cases based on a proprietary risk-tiering and feasibility scoring framework.

• Senior AI Architect, Google Cloud Platform · Google/Alphabet Inc.06-01-2021 – 04-01-2024

  ● Drove $50M+ in new Revenue for Google Cloud Platform by designing and developing new AI pipelines technology, cutting customer deployment time by 85%+. ● Projected 1-2% annual revenue growth in a national grocer’s digital business via the implementation of a custom recommendation system, leveraging state-of-the-art Machine Learning models and data pipelines to enhance customer value. ● Reduced infrastructure costs over 30% for a leading media company by rearchitecting a cloud-based data warehouse and AI environment, including the design of a comprehensive customer data strategy and BI rollout. ● Managed and mentored a team of 8 AI engineers, setting the strategic roadmap and translating critical business requirements into high-impact, scalable solutions.

• Senior Cloud Consultant, Data Engineering, Google Cloud Platform · Google/Alphabet Inc.02-01-2018 – 05-01-2021

  ● Saved Fortune 500 clients tens of millions in technology and analytics costs by redesigning legacy on-premise infrastructure using highly secure cloud computing platforms for C-level executives. ● Grew one retail customer’s digital sales 15% by designing improved recommender systems focused on Go-To-Market (GTM) optimization and unlocking new revenue channels. ● Led the re-architecture of the world’s largest Media Agency’s digital analytics platform, reducing "time to insight" for the Revenue organization and lowering total operating costs. ● Reduced IT expenses over 50% by leading the design and rollout of a leading retailer’s entire IT data warehouse infrastructure while managing national teams of consultants and architects.

• Principal Analytical Lead, Google Ads · Google/Alphabet Inc.01-01-2016 – 02-01-2018

  ● Improved key digital metrics (CTR, CVR & AOV) for Google’s largest travel customers via innovative analytical models, leading to increased platform loyalty and increased Advertising Revenue spend. ● Co-delivered strategy and technology in new cloud-based analytical systems across the analyst organization; system led to improved insights sharing with customers, unlocking millions of dollars of net new spend and reducing time to decision for business leaders.

• U.S. Director, Data Platforms · Annalect Inc. an Omnicom company06-01-2014 – 01-01-2016

  ● Directed the rollout, enhancement, and training of a Data Management Platform (DMP); responsible for all strategic AdTech integrations enabling the success of media planning and buying. ● Led technical presentations to prospective and existing clients on the use and benefits of a DMP, contributing to tens of millions of dollars in new business.

• Digital Solutions Architect, Adobe Digital · Adobe Systems Inc.06-01-2010 – 06-01-2014

  ● Developed and improved behaviorally-optimized content delivery algorithms and predictive models, saving enterprise retail clients millions on marketing and research costs. ● Supported the Data Science team in helping the leading global telecom company save hundreds of thousands in advertising spend yearly by building analytical models identifying gaps in visitor targeting and leading the restructuring of online personalization strategy. ● Architected technical specifications of enterprise scale, cross-channel digital marketing campaigns for Fortune 500 companies.

Education

• Northwestern UniversityMaster of Science, Predictive Analytics
• University at Buffalo - Jacobs School of ManagementBachelor of Science in Business Administration; Bachelor of Arts in Mathematics, Management Information Systems; Mathematics (Concentration on Econometrics)

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