Manager ERP and Analytics
Send a job offer directly to this candidate
Accomplished ERP and analytics professional with extensive experience in leading and mentoring teams to deliver high-quality insights and Business solutions. Proven track record in developing and implementing ERP systems, managing project lifecycles, and enhancing business performance through advanced analytics. Skilled in data modeling, API migration, application development, and system troubleshooting.
Committed to driving continuous improvement in analytics processes and fostering collaboration between business and technical teams.
Lead ERP and Enterprise Applications strategy, implementation, enhancement, and support.
Manage Oracle EBS/ERP modules including Finance, Procurement, Inventory, Manufacturing, EAM, and ODM.
Act as Techno-Functional Lead for Datatex NOW, including PDM, MQM/MCM and related business processes.
Manage ERP integrations with Datatex, WMS, Foglight, HRIS, DB2 and other enterprise systems.
Lead Business Intelligence, Analytics & AI initiatives across manufacturing and corporate functions.
Design and implement enterprise data models, data fabric and self-service BI capabilities.
Establish and standardize enterprise KPIs, data traceability, data sources and business definitions.
Lead development of management, CEO/CXO and operational dashboards using Tableau and other BI technologies.
Translate business requirements into functional/technical specifications, dashboards and system solutions.
Manage system implementation projects from requirement gathering through development, testing, deployment and support.
Lead cross-functional teams and stakeholders across IT, business, IS and data/analytics functions.
Coordinate with business users to validate data, KPIs, reports and system outputs.
Manage application support, issue resolution, root-cause analysis and continuous improvement.
Lead digital transformation and process automation initiatives.
Develop and implement custom business applications using.NET, Oracle Forms/ADF and related technologies.
Manage reporting and BI automation, including data extraction, transformation, modelling and visualization.
Provide technical and functional leadership for enterprise application enhancements and integrations.
Drive self-service analytics adoption, including user training and enablement.
Identify opportunities for AI, analytics and automation to improve business decision-making.
Manage project planning, timelines, resources, risks, dependencies and stakeholder communication.
Support business process optimization across manufacturing, supply chain, procurement, inventory, quality, logistics and product development.
Provide management-level reporting and strategic recommendations based on operational and business data.
