• Lead the design and execution of data lakes, warehouses, and transformation pipelines across multiple ERP systems. • Define robust strategies to ingest, cleanse, harmonize, and model master data from fragmented sources. • Establish master data standards, naming conventions, validation rules, and enforce data quality protocols. • Develop scalable enterprise models for sales, orders, inventory (SKU, BOM), and labor data. • Support AI-driven tools for demand forecasting, margin analysis, and productivity insights. • Engage regularly with business users, PMs, and POs to align data architecture with business goals. • Provide hands-on technical leadership to developers, analysts, and QA to ensure scalability, performance, and security standards are met. • Produce ERDs, transformation logic, and change logs for technical handoff and production deployment. • Conduct architecture reviews and stakeholder workshops to iterate and refine delivery approach.