Role: Oracle Fusion Data Conversion Lead at Onsite
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Role: Oracle Fusion Data Conversion Lead at Onsite
Location: Miami, FL Duration: 6 months C2C
Role Descriptions: The Data Conversion Lead will be responsible for driving end-to-end data migration and conversion activities for the MasTec Oracle Fusion ERP transformation program| involving legacy platforms including Viewpoint Vista| Oracle E-Business Suite (EBS)| and JD Edwards.This role will define the data migration strategy| lead data extraction| transformation| validation| and reconciliation| and ensure high-quality| timely data readiness aligned with program milestones (CRP| SIT| UAT| Cutover| Go-Live). The position requires close collaboration with functional| technical| integration| and business teams to ensure data integrity and successful transition to Oracle Fusion Cloud.Key Responsibilities1. Data Migration Strategy GovernanceDefine overall data migration strategy| roadmap| and execution plan for multi-ERP consolidation to Oracle Fusion.Establish data governance model| standards| templates| and controls across Finance| SCM| Projects| and HCM domains.Define migration waves| cutover strategy| and rollback approaches.2. Data Discovery| Mapping DesignAnalyze legacy data structures fromViewpoint VistaOracle EBSJD EdwardsLead data mapping workshops with functional SMEs to map legacy data to Oracle Fusion data models.Identify data gaps| harmonization needs| and transformation logic.Prepare and maintainData Mapping Documents (DMD)Data Conversion Design Documents (DCD)3. Data Extraction| Transformation LoadDefine extraction mechanisms from legacy systems (DB extracts| APIs| flat files).Design and implement transformation logic for cleansing| enrichment| and harmonization.Drive data loading using Oracle Fusion toolsFBDI (File-Based Data Import)HDL (HCM Data Loader)ADFDI APIsOversee development of automated ETL pipelines (ODIOIC where applicable).4. Data Quality| Validation ReconciliationEstablish data quality frameworks| rules| and thresholds.Ensure validation ofMaster data (Customers| Suppliers| Employees| Assets)Transactional data (GL balances| APAR| Projects| etc.)Lead reconciliation cycles acrossLegacy vs staged dataStaged vs Fusion targetEnsure financial and operational data accuracy pre and post migration.5. Testing Cutover SupportSupport data migration forConference Room Pilot (CRP)System Integration Testing (SIT)User Acceptance Testing (UAT)Plan and execute mock cutovers and dress rehearsals.Drive final production data migration and ensure Go-Live readiness.Provide hypercare support for post-go-live data issues.6. Stakeholder Management CollaborationWork closely withFunctional consultants (Finance| SCM| HCM| Projects)Technical teams (OIC| integration| reporting| DBAs)Business stakeholdersConduct data workshops| status reviews| and steering updates.Highlight risks| dependencies| and mitigation plans to leadership.7. Tools| Automation Performance OptimizationDefine tooling landscape for migration and data validation.Drive automation of reconciliation and validati Essential Skills: The Data Conversion Lead will be responsible for driving end-to-end data migration and conversion activities for the MasTec Oracle Fusion ERP transformation program| involving legacy platforms including Viewpoint Vista| Oracle E-Business Suite (EBS)| and JD Edwards.This role will define the data migration strategy| lead data extraction| transformation| validation| and reconciliation| and ensure high-quality| timely data readiness aligned with program milestones (CRP| SIT| UAT| Cutover| Go-Live). The position requires close collaboration with functional| technical| integration| and business teams to ensure data integrity and successful transition to Oracle Fusion Cloud.Key Responsibilities1. Data Migration Strategy GovernanceDefine overall data migration strategy| roadmap| and execution plan for multi-ERP consolidation to Oracle Fusion.Establish data governance model| standards| templates| and controls across Finance| SCM| Projects| and HCM domains.Define migration waves| cutover strategy| and rollback approaches.2. Data Discover