As a seasoned Architect, you will lead the design and implementation of enterprise-scale data and AI solutions leveraging SAP HANA Cloud, SAP Analytics Cloud (SAC), and Generative AI on SAP BTP. You will architect and deliver scalable, secure, and performance-optimized analytical models built on HANA Cloud calculation views, enabling advanced reporting capabilities through SAC stories and models. You will ensure that data models are robust, governed, and optimized for enterprise-grade performance. Beyond traditional analytics, you will design and embed GenAI-driven capabilities into enterprise workflows to enhance decision intelligence and business process automation. This includes operationalizing AI solutions using SAP AI Core and AI Launchpad, integrating Large Language Models (LLMs) with enterprise data in a secure and cost-efficient manner, and leveraging capabilities such as the HANA Cloud Vector Engine to implement semantic search and retrieval-augmented generation patterns. You will play a key role in shaping AI-enabled analytics architecture, ensuring scalability, governance, and alignment with enterprise security standards while driving innovation across the SAP ecosystem.- SAP Certified Professional SAP Architect preferred- 10 years of total IT experience in large-scale application/system/platform/integration architectures- 8 years of hands-on experience in SAP Analytics technologies (SAP Analytics Cloud, HANA Cloud, SLT) with relevant SAP S/4HANA- Cloud Finance, Controlling, and Project Systems experience- Experience in 5 end-to-end analytics implementations involving ERP systems (On-Premise or Cloud) As a seasoned Architect,



you will lead the design and implementation of enterprise-scale data and AI solutions leveraging SAP HANA Cloud, SAP Analytics Cloud (SAC), and Generative AI on SAP BTP. You will architect and deliver scalable, secure, and performance-optimized analytical models built on HANA Cloud calculation views, enabling advanced reporting capabilities through SAC stories and models. You will ensure that data models are robust, governed, and optimized for enterprise-grade performance. Beyond traditional analytics, you will design and embed GenAI-driven capabilities into enterprise workflows to enhance decision intelligence and business process automation. This includes operationalizing AI solutions using SAP AI Core and AI Launchpad, integrating Large Language Models (LLMs) with enterprise data in a secure and cost-efficient manner, and leveraging capabilities such as the HANA Cloud Vector Engine to implement semantic search and retrieval-augmented generation patterns. You will play a key role in shaping AI-enabled analytics architecture, ensuring scalability, governance, and alignment with enterprise security standards while driving innovation across the SAP ecosystem.- SAP Certified Skilled SAP Architect preferred- 10 years of total IT experience in large-scale application/system/platform/integration architectures- 8 years of hands-on experience in SAP Analytics technologies (SAP Analytics Cloud, HANA Cloud, SLT) with relevant SAP S/4HANA- Cloud Finance, Controlling, and Project Systems experience- Experience in 5 end-to-end analytics implementations involving ERP systems (On-Premise or Cloud)

📌 Software Engineering Manager (India)
🏢 McKinsey Global Capabilities Services Private
📍 India