Senior product strategy and modernization for the pricing, promotion, merchandising, and forecasting platforms that Fortune 500 retailers run on. Specialized in operational decision intelligence, retail platform modernization, and ML-enabled decision systems.
See the work Start a conversationI lead enterprise product strategy for internal retail decision systems — the pricing, promotion, merchandising, forecasting, and analytics platforms that Fortune 500 retailers depend on for operational and financial decisions at scale. A decade across Nike, Williams-Sonoma, Home Depot, BJ's, TJX, Petco, and Lowe's modernizing the platforms merchants actually use every day.
"Clayton owns the hard problems end-to-end. He gave us a real roadmap, not a slide deck — and then he actually shipped it."VP of Merchandising Technology
"He's the rare PM who can sit with our data scientists at 9am and our CFO at 3pm and translate fluently in both rooms."Director, Pricing Strategy
"Brought structure to a program that was eight months behind. Within a quarter we had a credible release plan and were hitting it."Senior Director, Product
"He's always thinking two steps ahead about implications across the business — not just the feature in front of him."Chief Digital Officer
// Placeholder testimonials — replace with real quotes from BJ's, Williams-Sonoma, TJX, Nike, and Home Depot contacts before publishing.
Spearheaded development of AWS microservices and a unified global pricing & promotion platform supporting Nike-owned stores and POS systems worldwide. Designed data ingestion and egress pipelines across 12+ sources and destinations using stateless cloud architecture, supporting downstream demand & supply analytics, consumer insights, and merchandising systems.
Created a unified pricing & promotion authoring tool to consolidate and replace legacy store and eCom systems, with new logic to resolve overlapping effective dates and prevent operational human error. Drafted comprehensive UAT plan covering pricing & promotion edge cases, and presented a Product Configurator Service playbook to the CTO and SLT — securing approval for furniture assortment expansion through enhanced product customization and item-setup capabilities.
Drove product vision for a hyper-local dynamic pricing engine with daily competitor scraping and AI-driven margin optimization, neutralizing price as a competitive differentiator. Spearheaded A/B testing with 60+ merchants across three beta groups and delivered a competitive price authoring interface with usability-tested workflows. Trained merchants on the unified pricing platform with predictive analytics dashboards highlighting non-price differentiators (e.g., inventory availability).
Prioritized BOPIS and Same-Day Delivery backlog features to accelerate omnichannel fulfillment and improve the customer experience. In parallel, led end-to-end A/B testing strategy for an electronic shelf label pilot — designing the validation framework, securing $1.2M in pilot funding, and delivering the dynamic pricing MVP that informed the strategic decision.
Led enterprise product initiatives across promo forecasting, tranche-level forecasting, vendor funding logic, inventory optimization, and Tableau reporting modernization. Coordinated delivery across Data Science, Data Engineering, Merchandising, Analytics, and Executive Leadership — supporting modernization across Databricks, Snowflake, Redshift, and Tableau. Partnered with McKinsey data science teams to operationalize ML-driven forecasting and optimization into scalable, merchant-facing decision-support tooling.
Designed scalable data governance frameworks for ServiceNow CMDB and IRM. Optimized cross-platform analysis with Query Builder and CMDB Health dashboards. Championed Agile/SAFe adoption for a new product team.
Senior product leadership for the enterprise retail decision systems that drive operational and financial performance. Drop me a note — first conversation is always on me, response within one business day.
todosadvisory@gmail.com (812) 746-9061