United States
I’m an AI Product Manager and Business Systems professional with 7+ years of experience at the intersection of enterprise ERP, supply chain operations, analytics, and AI-driven product development. My career began in enterprise supply chain and ERP transformation, where I worked with SAP MM, PP, APO, Oracle ERP, SQL, and Power BI to improve forecasting, inventory optimization, procurement processes, and operational performance across manufacturing and supply chain organizations. Working with complex business processes taught me that technology only creates value when it solves real business problems. That experience inspired me to build ProfitIQ, an AI-powered profit intelligence platform that I designed and developed from the ground up. As the founder and sole developer, I owned the complete product lifecycle—from product vision, market research, roadmap, PRDs, and user stories to full-stack development, AI architecture, deployment, and continuous product evolution. ProfitIQ combines AI-powered KPI analysis, anomaly detection, forecasting, supplier intelligence, and decision-support capabilities to help businesses identify operational risks and profit improvement opportunities. Building the platform has strengthened my expertise in product strategy, user-centric design, AI integration, technical architecture, and agile product delivery. Throughout my career, I’ve partnered with cross-functional stakeholders to translate complex business challenges into scalable digital solutions. I enjoy working where business strategy, product management, analytics, and technology intersect, building products that improve decision-making rather than simply reporting data. Core Areas of Expertise • AI Product Management & Product Strategy • Technical Product Management • ERP Functional Consulting (SAP MM, PP, APO, Oracle ERP) • Business Analysis & Requirements Management • Supply Chain & Procurement Analytics • AI Decision Intelligence & Business Analytics • Product Roadmapping, BRDs, PRDs & User Stories • SQL, Power BI & Data Analytics • React, Node.js, PostgreSQL & AI/LLM Integration I’m always interested in connecting with professionals working in AI products, enterprise software, ERP transformation, supply chain technology, and digital innovation. If you’re building products that combine AI with real business impact, I’d love to connect.
• Led SAP MM/PP requirements gathering, functional specification development, and authored complete documentation suites (BRDs, PRDs, FRDs, RTMs) for Fortune 500 manufacturing ERP transformations. • Designed and delivered a Power BI supply chain control tower by integrating SAP MM/APO datasets via advanced SQL pipelines, consolidating 6+ legacy reporting systems into a centralized dashboard for leadership. • Defined MRP configuration rules, master data validation frameworks, and drove cross-functional alignment across business, IT, and operations via Agile/Scrum ceremonies. • Spearheaded full UAT cycles, defect triage, and sign-off processes to ensure seamless, defect-free SAP MM/PP go-lives.
• Analyzed SAP APO demand planning outputs and 3+ years of historical sales data using SQL to identify and eliminate planner bias, improving forecast accuracy by 12% across a $500M+ product portfolio. • Built and maintained Power BI dashboards consolidating supply-demand gap analysis, inventory health, and supplier performance KPIs to enable weekly S&OP review cycles for senior leadership. • Conducted structured root cause analysis on supply chain disruptions using SAP MM/PP datasets; engineered a dual-sourcing strategy for 15 high-risk SKUs to minimize single-source dependency. • Optimized SAP MM replenishment logic and reorder point parameters to reduce excess inventory exposure while maximizing material availability.
• Developed SQL and Excel-based inventory optimization models for a highly regulated medical device supply chain, successfully reducing safety stock by 15% while maintaining full OTIF compliance. • Standardized and centralized KPI reporting frameworks across 3 distinct manufacturing plants, eliminating metric inconsistencies and reducing weekly report preparation time. • Conducted deep-dive supplier performance analysis to isolate underperforming vendors; led a vendor consolidation effort that improved overall OTIF from 84% to 93%. • Automated recurring procurement and inventory reporting pipelines, eliminating manual overhead and improving data accuracy for operational reviews.
• Designed and implemented a SQL-based inventory tracking system that replaced manual Excel sheets, establishing real-time visibility into purchase orders, inventory levels, and stockout risks. • Deployed automated dashboards for stockout prediction and replenishment triggers, reducing material stockout incidents by 30% within the first 6 months. • Automated complex ETL pipelines and standardized reporting templates, reducing manual data reconciliation workload by 60%.