Compugra Systems

Compensation

Full Description

Business Solution Architect with EDM Remote Contract Exp : 12+ to 15+ Years Salary : 18 to 20 LPA We pay US $65- 70 Business Solutions Architect - Enterprise Data Management to join their team which supports master & reference data required to support Operations and Engineering Operations businesses. This role would require working very closely with various business and cross-functional IT teams that include, planning, inventory management, Engineering and Finance, with primary focus on Data needed for end to end Supply Chain Management processes. What you ll be doing: • Define and implement a unified enterprise data and governance strategy to support manufacturing and supply chain operations. • Establish governance frameworks (taxonomy, policies, stewardship councils, KPIs) and publish data quality scorecards. • Enable planning, sourcing, procurement, manufacturing, inventory, sales/O2C, logistics, and finance with clean, standardized master data. • Drive consistency in product, BOM, routing, and engineering data across PLM, ERP, and shop-floor systems. • Serve as lead architect for enterprise data solutions across SAP MDG, S/4HANA, ECC, Informatica MDM, Databricks, PLM, and SFDC. • Lead ECC-to-S/4HANA migrations, ensuring data harmonization, cleansing, and transformation. • Implement automation and AI/ML-ready data structures to enhance supply chain and operational processes. • Partner with BI/AI teams to improve data accessibility, forecasting, and insight-driven decision-making. What we need to see: • Bachelor s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience). • 12+ years of experience in Enterprise Data Management (EDM), Data Governance, and Solution Architecture within manufacturing and Hi-tech supply chains. • Expertise in SAP ECC, S/4HANA, SAP MDG (Product, BOM, Business Partner, Customer, Vendor), and Informatica MDM/CDGC. • Proven track record in designing and implementing data governance frameworks, ERP transformations, and end-to-end supply chain integrations. • Hands-on skills in data modeling, data engineering, and metadata management. • Background in data quality, cleansing, and KPI-driven monitoring. • Familiarity with modern data platforms and integration tools, including Databricks, SAP CPI, MuleSoft, Informatica (CAI/CDI/CID-R) and HANA analytics platforms (Power BI) • Knowledge of AI/ML readiness for supply chain optimization and advanced analytics enablement. • Demonstrated ability to influence senior leadership, drive cross-functional consensus, and deliver enterprise-scale data transformation initiatives. Ways to stand out from the crowd: • Multiple end-to-end lifecycle implementations in Data and SAP domain • S/4 HANA implementation and Data migration experience • Semi-Conductor industry Experience