Job Description

1. Job Summary & Role Specification

We are looking for experienced SAP AI/Data Architects with 8–15 years of experience in SAP data architecture, AI-driven solutions, analytics, and enterprise data transformation initiatives. The ideal candidate should possess strong expertise in SAP data platforms, AI/ML integration, cloud technologies, data governance, and enterprise architecture. The role involves designing scalable and intelligent SAP data ecosystems that support analytics, automation, and digital transformation objectives.

2. Job Description

• Design and implement SAP AI and data architecture solutions.
• Lead enterprise data transformation and analytics initiatives.
• Develop scalable data models and integration frameworks.
• Work on SAP AI, machine learning, and intelligent automation solutions.
• Design data pipelines, reporting structures, and analytics architectures.
• Support SAP S/4HANA, SAP BTP, and cloud-based data platforms.
• Ensure data governance, security, quality, and compliance standards.
• Collaborate with business stakeholders, data teams, and technical teams.
• Optimize system performance and data processing capabilities.
• Prepare architecture documentation, standards, and technical guidelines.

3. Roles & Responsibilities

• Design enterprise-level SAP AI and data architecture frameworks.
• Develop and manage SAP data integration and analytics solutions.
• Support AI/ML model integration within SAP environments.
• Define data governance and master data management strategies.
• Collaborate with functional and technical teams for solution delivery.
• Monitor data quality, performance, and scalability.
• Support cloud and hybrid data architecture environments.
• Conduct architecture reviews and recommend optimization strategies.
• Troubleshoot data and integration-related issues.
• Mentor teams and provide technical guidance on SAP data solutions.
• Ensure successful implementation and post-go-live support.

4. Eligibility Criteria

• Bachelor’s or Master’s degree in Computer Science, IT, Data Science, Engineering, or related field.
• 8–15 years of experience in SAP data architecture and analytics projects.
• Strong experience in SAP AI, data platforms, and enterprise integrations.
• Knowledge of AI/ML concepts and analytics solutions.
• Experience in SAP cloud and SAP BTP environments preferred.
• Understanding of data governance, security, and compliance frameworks.
• SAP or cloud/data certifications are an added advantage.
• Strong analytical, communication, and stakeholder management skills.
• Ability to lead enterprise-scale data transformation initiatives.

5. Skills & Technologies

SAP Technologies

• SAP BTP
• SAP Datasphere
• SAP BW/4HANA
• SAP HANA
• SAP Analytics Cloud (SAC)
• SAP AI Core
• SAP AI Launchpad
• SAP S/4HANA

Data & AI Technologies

• Machine Learning
• Artificial Intelligence
• Data Modeling
• Data Warehousing
• ETL/ELT Processes
• Predictive Analytics
• Data Governance
• Master Data Management (MDM)

Cloud & Integration

• APIs & Web Services
• Cloud Platforms (AWS/Azure/GCP)
• SAP Integration Suite
• Data Pipelines
• SQL

Core Skills

• Enterprise Data Architecture
• AI/ML Solution Design
• Analytics & Reporting
• Data Integration
• Performance Optimization
• Security & Compliance
• Troubleshooting & Support
• Documentation & Governance
• Stakeholder Management
• Agile/Scrum Methodology