Scaling distributed content systems across multi-market environments — where creative content and operations are unified.
The evidence,
not the claim.
→ High-volume pipeline across ~20 markets — 8+ concurrent deliverables daily
→ Reduced intake clarification loops by 30–40%
→ Decreased coordination overhead by 20–30% per project
→ Led 10–20 producers across distributed teams in multiple time zones
Background in broadcast creative production since 2002, progressing from hands-on execution into leadership and now systems-level operations across distributed teams.
Broadcast · Community · Brand · Digital
Following industry-wide consolidation, a centralized hub model was introduced to support ~20 stations. Immediate operational strain emerged from high-volume rapid-turn requests, inconsistent project structure, and unclear expectations creating revenue-continuity risk.
Introduced a hybrid Kanban/Scrum framework, prioritizing process clarity in the first 30 days before tooling. Established ownership and a throughput pipeline that could scale into organizational reporting.
Intake requests arrived inconsistently across multiple channels. Producers spent excess time clarifying incomplete submissions, and workflow visibility depended entirely on manual follow-up — creating single points of failure.
Designed a structured intake layer to standardize data capture. Integrated AI tools to accelerate high-impact content generation. Established a single entry point feeding into tracking and capacity reporting.
Broadcast creative constrained by short timelines and repetitive formats. Pressure to deliver both brand and revenue outcomes simultaneously. Late-stage revisions due to unclear direction and difficulty translating abstract concepts into production-ready executions.
Developed mood boards to establish tone before production. Built daily/weekly output rhythms for revenue-driven turnarounds without sacrificing audience-targeting precision.
Distributed team model with producers across multiple markets. Uneven workload distribution, inconsistent expectations, and increased burnout risk from a lack of structural clarity. No built-in feedback loop for throughput or performance.
Established clear priority levels to remove ambiguity. Provided real-time production support and feedback. Maintained strategic focus while reducing coordination overhead.
A structured diagnostic for evaluating and improving creative system performance. Used to identify bottlenecks and guide system-level improvements across distributed teams — before execution, not after.
Developed from real production environments. Applied across broadcast, marketing, and digital workflows.
Visual language, brand alignment, and storytelling strategy across broadcast, digital, and social. Mood board development and quality oversight at production volume.
Intake structure, Kanban/Scrum implementation, and throughput modeling. Turning chaotic creative production into a measurable, repeatable system.
Practical deployment of AI tools into production workflows — not as an experiment, but as structural improvements that reduce friction without sacrificing creative quality.
Building and leading distributed creative teams across markets and time zones. Mentorship-forward management that develops producer independence.
Real-time operational authority across ~20 stations. Managing competing demands, timezone complexity, and station-level variation while maintaining consistent output standards.
Producing creative that serves brand and revenue objectives simultaneously — with the workflows to deliver it under deadline, consistently and at scale.
Creative work doesn't fail at execution. It fails upstream — at structure, clarity, and intake.
Open to conversations about scaled creative operations, workflow transformation, and AI integration — across broadcast, agency, tech-adjacent, or consulting contexts.
📍 Based in Virginia · Relocating to Dallas, TX (2026)
