Scott Fillman, Ed.D., EMBA

Principal Advisory & Fractional CIO

Scott Fillman bridges the critical gap between executive strategy and technical execution. Drawing on his experience as a sitting Chief Information Officer, alongside the commercial discipline of an Executive MBA and the systems thinking of doctoral research, Scott helps enterprise leadership teams and high-growth startups turn fragmented data and architectural uncertainty into accountable governance.

With a deep technical background in enterprise tracking architectures and compliance frameworks, Scott understands that technology decisions must be framed through the lens of organizational reality, risk mitigation, and business value. He specializes in untangling complex vendor ecosystems, designing cross-functional AI and data strategies, and translating regulatory mandates into durable operating models.

Rather than simply deploying tools, Scott partners with C-suite leaders and startup founders to ensure that their data ecosystems are engineered for trust, compliance, and measurable economic impact as they scale.

Core Advisory Focus

• Enterprise data governance and compliance architecture
• Cross-functional AI strategy and data readiness frameworks
• Fractional technical leadership and vendor ecosystem oversight
• Scalable architecture and strategic technical guidance for early-stage and high-growth startups
• Tracking architecture audits and remediation sequencing
• Aligning technical infrastructure with executive business goals

Selected Impact

• Engineered advanced tag management and compliance architectures across complex, multi-stakeholder enterprise environments
• Directed the foundational data architecture and technical scaling strategies for high-growth startups across the online ordering and tourism sectors
• Restructured data attribution pipelines for an online retailer, providing the accurate measurement required to increase year-over-year paid media revenue by over 250% during peak volume events
• Designed and mapped cross-functional technical frameworks to ensure tracking integrity without compromising regulatory compliance or system performance