ERP Analytics & Reporting Lead
Corteva Agriscience
- Location
- Hyderabad, India
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 15 approvals (FY2023)
- Posted
- Sep 20, 2026
Skills
About this role
Position
Summary We are seeking an experienced Enterprise Analytics & Reporting Lead to own the strategy, architecture, delivery, and operational excellence of enterprise reporting, analytics, and data warehousing solutions. This role will provide hands-on technical leadership across SAP and cloud-based analytics platforms, including SAP BW/4HANA, SAP S/4HANA Analytics, Power BI, SAP Business Data Cloud, SAP Datasphere, Azure Data Lake, Databricks, embedded SAP analytics, and integrated SAP and non-SAP enterprise analytics solutions. The successful candidate will partner with business stakeholders, enterprise architects, SAP functional teams, data teams, and external partners to deliver secure, scalable, governed, and business-focused analytics solutions that enable trusted decision-making and support future modernization.
Key Responsibilities
Leadership & Team Management Manage delivery quality and operational performance across internal teams, implementation partners, and run-and-maintain vendors. Establish technical standards, development best practices, and governance processes. Drive collaboration across ERP, Data & Analytics, Enterprise Architecture, and business organizations. Build team capability across SAP BW/4HANA, Power BI, BDC/Datasphere, Azure, Databricks, and emerging analytics technologies. Act as the escalation point for complex architecture, delivery, support, and stakeholder alignment issues. Enterprise Analytics Strategy & Architecture Define and maintain the enterprise analytics roadmap aligned with business objectives and digital transformation initiatives that include future modernization and decommissioning activities. Establish enterprise data architecture standards supporting operational reporting, self-service analytics, executive dashboards, advanced analytics, and AI initiatives. Design and oversee SAP BW/4HANA data models, data flows, transformations, and reporting solutions. Lead the evolution of the analytics ecosystem including SAP BW/4HANA, SAP Business Data Cloud, SAP Datasphere, Power BI, Microsoft Azure, Databricks, and related technologies. Ensure alignment between analytics platforms, enterprise data strategy, ERP modernization programs, and cloud transformation initiatives. Drive architecture decisions balancing business agility, performance, scalability, security, and total cost of ownership. · Establish enterprise semantic models and governed data products. · Define data virtualization, replication, federation, and data-sharing strategies across SAP landscapes. · Ensure reuse of SAP-delivered content, CDS models, and business content packages. · Align analytics architecture with RISE with SAP and cloud transformation initiative Data Integration & Analytics Lead integration efforts involving BW/4HANA ODP, CDS Views, Azure Data Lake, Azure Data Factory, Power BI, Analysis for Office, BEx, and related analytics platforms. Define and support the future-state analytics strategy, including alignment with RISE with SAP, SAP Business Data Cloud, Databricks, Azure Data Lake, and enterprise-approved applications. Oversee data extraction, transformation, loading (ETL/ELT), operational monitoring processes, and SAP technologies such as SLT and SDA. Ensure data quality, reconciliation, governance, and regulatory compliance requirements are met. Support enterprise reporting initiatives across Finance, Supply Chain, Manufacturing, Commercial, and other business functions. Establish patterns for advanced analytics and AI/ML use cases using Databricks and SAP data products Drive implementation of enterprise data catalogs and business glossaries Data Modeling & Engineering Define enterprise data modeling standards across: SAP Datasphere Spaces BW Composite Providers InfoObjects Data Products Lakehouse Models Star Schemas Semantic Layers Build curated ERP data assets supporting: Finance reporting Procurement analytics Inventory visibility