Associate Senior Solutions Architect
World Bank Group (company site, opens in a new tab)10+ yrsChennaiOn-siteDirect career pageEst. 30–50 LPA
Posted 23h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and lead implementation of integrated, AI-ready technology solutions across software, data, and cloud infrastructure for corporate budget and planning systems.
- Translate budget policy changes into technical specifications and define integration patterns across planning tools, SAP ERP/FM, and enterprise data platforms.
- Deliver trusted budget-versus-actual and performance reporting, and identify AI-enabled opportunities such as anomaly detection and forecasting support with responsible AI practices.
Minimum Requirements
- Master's degree in Computer Science, Information Systems, Finance, Engineering, or related field with minimum 8 years relevant experience; OR Bachelor's degree with minimum 10 years experience in enterprise planning, budgeting systems, or SAP BI.
- Required certifications: Scaled Agile certification (e.g., SAFe Architect, SAFe POPM, SAFe Agilist); certification in data technology like Azure Synapse, Databricks, or SAP BW/4HANA or SAP BW on HANA; certification in data engineering (Databricks, Azure, GCP).
- Demonstrated experience leading modernization and end-to-end implementation of corporate budget and planning systems in large, multi-stakeholder organizations.
- Advanced expertise in data analysis, data engineering, reporting, and planning; strong knowledge of Jedox, SAP BW on HANA, and enterprise reporting tools like Power BI, SAP BusinessObjects.
Ideal Candidate Profile
- Experienced in architecting and deploying complex financial planning and budgeting systems with a strong systems-thinking approach to resolving cross-functional data dependencies and model integrity issues.
- Proven ability to translate organizational priorities into phased technical implementation and adoption strategies, coordinating finance, IT, and senior management stakeholders.
- Familiarity with modern data platforms (SAP HANA, Databricks, Apache Spark) and AI-enabled forecasting and automation capabilities within planning platforms.