A senior IT professional with 10+ years of experience, Brian provides product and delivery leadership to digital transformation initiatives focused on advanced Artificial Intelligence, Robotic Process Automation (RPA), and intelligent process automation (IPA) solution deployment.

An experienced consultant and client-facing relationship builder, Brian has enabled multi-billion dollar Fortune 500 organizations to achieve their business goals through the conception, commercial deployment, and maturation of Artificial Intelligence and automation technology.

Key Responsibilities Include:
- Developing AI strategy and offerings
- Leading the implementation of AI Solutions (Generative, Conversational, Machine Learning, NLP)
- Providing expert guidance to business executives and senior leadership related to AI proof of concept development, solution scoping, and governance

Recognized by senior leadership for the ability to focus artificial intelligence initiatives on the realization of business outcomes including revenue generation, operational cost savings, cost deflection, and business intelligence that directly impacts corporate strategy.

AI Solution Experience:
- Salesforce Einstein AI
- Genesys AI
- Azure OpenAI Proof of Concept
- Conversational AI solution evaluation
- Custom machine learning recommendation engines
- Custom email classification, routing and next best action AI NLP models
- Custom content summarization NLP models

Industries Served
- Information Technology
- Telecommunications
- Healthcare
- Financial Services
- B2B Marketing
- Industrial and Manufacturing
- Electronics

--Data Governance, Data Quality, & Infrastructure Management--
Delivered data intelligence capabilities for C-suite executives by overseeing data harmonization, automated reporting, data mapping, and visualization initiatives. Advised data and analytic teams on integrating disparate data sources to enterprise data lakes for centralized access and reporting.

Certified Product Owner and Scrum Master that directs the efforts of Data Scientists, Automation Engineers, Machine Learning Engineers, DevOps teams, and AI, Data, and Business SMEs.