Amanda Binkley
AI Business Architect at KPMG
- Role
- Ai Business Architect at KPMG
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Amanda Binkley
Innovative and tech-savvy IS leader with 7+ years of experience in data analytics, AI architecture, and business process improvement. Proven track record of developing solutions that drive bottom-line results and operational efficiencies. Specialized expertise in AI Agents, Low-Code/No-Code platforms, and Business Intelligence systems. I lead data transformation initiatives and develop foundational, AI-ready datasets to streamline reporting through dynamic dashboards. I build AI agents using low-code/no-code platforms to automate internal workflows, which increased efficiency across projects. My work includes advising clients on digital transformation and identifying high-impact AI use cases for supply chain and industrial manufacturing.I’m passionate about leveraging data to create tangible results, whether it’s increasing user compliance with data-driven engagement strategies or leading client-facing reporting initiatives. I\'m also skilled in data governance, establishing robust controls and documentation standards to ensure accuracy and consistency in dashboards.
Experience
Ai Business Architect
Aug 2025 — Present
Developed AI agents using low-code/no-code platforms to automate complex HR and Finance workflows, resulting in increased operational efficiency across internal functions•Represented the firm’s AI strategy during Gartner Magic Quadrant reviews and delivered live demonstrations of autonomous agent capabilities to 400+ attendees, driving enterprise-wide buy-in for emerging AI architectures.•Advised Corporate Services clients on digital transformation opportunities, integrating advanced analytics and AI agents into HR and Finance operations to improve efficiency, resilience, and decision-making.•Improved digital dexterity across corporate functions by designing AI tool training paths and sharing expertise in firm-wide knowledge sessions on data ingestion and metric interpretation.•Led the adoption of AI-driven solutions by designing training paths for AI tools and sharing expertise on data ingestion workflows, ensuring successful technology implementation and digital upskilling.
Education
Penn State University
Bachelor's degree, Management Information Systems
2014 — 2018
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