Ethan Charles Stuart

Matrixed 50+ person org · 17 direct and matrix reports across 5 disciplines · direction for ~28 more via governance forums · 1,000+ downstream users · briefs CTO and President of Studio Technology and Operations monthly

• Cut time from spec to shipped from roughly four months to about one by establishing an AI-native operating model — AI coding tools as standard at 100% weekly active PM adoption (telemetry-tracked), agent-augmented PM workflows, AI-fluency hiring, and AI-built internal tooling including an in-daily-use PM portal.
• Multiplied platform stakeholders ~10x and brought on 10+ new partner groups through stakeholder-led change management, taking the platform enterprise-wide to 1,000+ downstream users.
• Established enterprise data governance, metadata, security, and quality frameworks across the full footprint; production pipelines run under documented freshness and quality SLOs.
• Shipped semantic search and talk-to-your-data into production — directed architecture across orchestration, Cypher, and RAG agents; integrated TwelveLabs multi-modal AI.
• Delivered a production chatbot suite for studio workflows; lead use case saves 6.5 hours per person per week.
• Owned platform build-vs-buy — consolidated BI onto a single enterprise analytics stack (retired a legacy reporting vendor), and selected Snowflake Cortex + Neo4j over leading vector-search and RAG vendors for governance and Snowflake-native lineage.
• Delivered production ML forecasting and decision-support models for studio finance (cash flow, quarterly budget); contributor to the studios' cross-company finance transformation.
• Mentor 5 PMs beyond the immediate org; led multiple contractor-to-FTE conversions and several direct-report moves into expanded scope.

25+ person matrix team · all enterprise data products · 7,000+ operators and executives served

• Reduced platform incidents 85% (12→1-2 P1/P2 monthly) and increased satisfaction 50% in 60 days by converting a service team into a product organization — prioritization frameworks, transparent stakeholder communication, org-wide BI standards.
• Shipped reporting structure, governance frameworks, and Microsoft Fabric + Gen AI capabilities; partnered on AI drive-thru, digital menu boards, and Cantina launches.
• Delivered ML models for labor prediction and CRM, plus platform support for digital marketing and e-commerce.
• Expanded from CDP to the full platform portfolio after demonstrating rapid impact.

All Yum brands — Taco Bell, KFC, Pizza Hut · 14-person team across product, engineering, and analytics

• Drove CDP adoption across Taco Bell, KFC, and Pizza Hut — led implementation and GTM enabling 80% YoY loyalty growth (CDP contribution validated via marketing mix model).
• Shipped ML models and pipelines for retention, lapse prediction, and CRM insights; delivered intelligence to 7,000+ operators through in-store reporting, regional dashboards, and franchisee tracking.
• Moved the group from order-takers to a strategic product organization and increased satisfaction 40%.

All Capital Group ETFs and Mutual Funds · roadmap across Marketing, Sales, and Compliance

• Launched the Phoenix Fire data platform 0→1 to 100% enterprise adoption — consolidated tools, automated workflows, and modern UX transformed sales and marketing operations.
• Shipped through 3 ETF launches while managing a unified roadmap across Marketing, Sales, and Compliance.
• Established a data governance framework with proactive quality monitoring and stakeholder notification, in a highly regulated context.

Enterprise analytics function built from scratch · 85 sales professionals supported

• Built the enterprise analytics function from scratch — standardized reporting and drove a 15% loan origination increase across 85 sales professionals.
• Integrated Power BI with a custom CRM, delivering self-service analytics and pipeline visibility to 4 VPs, 10 regional managers, and 85 loan officers.