KATBOTZ®

• Design, develop, and deploy machine learning and predictive analytics models. • Analyze large and complex datasets to identify trends, insights, and business opportunities. • Build scalable data science solutions and optimize model performance. • Collaborate with data engineering and business teams to define project requirements and deliver analytical solutions. • Develop data pipelines, feature engineering processes, and model evaluation frameworks. • Implement AI/ML algorithms for forecasting, classification, recommendation, and automation use cases. • Present analytical findings and recommendations to technical and non-technical stakeholders. • Ensure data quality, governance, and compliance standards are maintained. • Mentor junior data scientists and support best practices across the team. • Stay updated with emerging technologies and advancements in Data Science and AI.

• Design, implement, and manage scalable cloud infrastructure solutions. • Support cloud migration, deployment, and modernization initiatives. • Build and maintain secure, highly available, and cost-effective cloud environments. • Automate infrastructure provisioning using Infrastructure as Code (IaC) tools. • Collaborate with DevOps, security, application, and infrastructure teams to support cloud operations. • Monitor system performance, troubleshoot issues, and optimize cloud resources. • Implement cloud security best practices, governance, and compliance controls. • Manage CI/CD pipelines and deployment automation processes. • Provide technical leadership and mentor junior engineering team members. • Create technical documentation, architecture diagrams, and operational procedures.

• Lead end-to-end implementation, rollout, and support projects in SAP Logistics and Supply Chain modules. • Analyze business requirements and translate them into SAP functional designs and solutions. • Configure SAP modules such as MM, SD, PP, WM/EWM, LE, and related supply chain processes. • Conduct workshops with business stakeholders to gather requirements and define process improvements. • Design and document business processes, functional specifications, and test scenarios. • Coordinate with technical teams for custom developments, enhancements, and integrations. • Support data migration, testing cycles (unit, integration, UAT), and go-live activities. • Provide post-go-live support and continuous improvement recommendations. • Mentor junior consultants and contribute to internal knowledge-sharing initiatives. • Ensure best practices, SAP standards, and compliance with project methodologies.

• Manage and administer SAP systems (ECC, S/4HANA, BW, Solution Manager, PI/PO, GRC, Fiori, etc.) • Perform system installations, upgrades, migrations, and patching. • Monitor system performance, troubleshoot issues, and implement tuning solutions. • Manage transport management system (TMS), client copies, system refreshes, and background jobs. • Work closely with database, OS, and infrastructure teams to ensure smooth SAP operations. • Ensure compliance with security, governance, and audit requirements. • Implement and manage High Availability (HA), Disaster Recovery (DR), and Backup strategies. • Provide technical support during cutovers, go-lives, and project rollouts. • Mentor junior Basis administrators and act as a subject matter expert in SAP Basis.

• Provide Hypercare and post-go-live support for enterprise applications and business systems. • Monitor production environments and ensure system stability and operational continuity. • Manage incident resolution, issue tracking, root cause analysis, and escalation coordination. • Collaborate with business users, technical teams, vendors, and project stakeholders to resolve production issues. • Support managed services operations, service requests, and ongoing maintenance activities. • Coordinate defect management, change requests, and release support activities. • Create and maintain SOPs, support documentation, knowledge articles, and operational runbooks. • Track SLAs, KPIs, and service delivery metrics to ensure high-quality support. • Support user training, knowledge transfer, and transition-to-support activities. • Participate in on-call support and overlapping US business hours as required.

• Lead end-to-end QA activities including test planning, execution, reporting, and defect tracking. • Develop and implement comprehensive test strategies, test plans, and test cases. • Coordinate with development, business, and project teams to ensure quality deliverables. • Manage functional, regression, integration, system, and user acceptance testing activities. • Oversee automation testing initiatives and improve test coverage and efficiency. • Track defects, coordinate resolutions, and ensure timely closure of issues. • Monitor testing progress, risks, and quality metrics, providing regular status updates to stakeholders. • Mentor QA team members and enforce QA best practices and standards. • Support release validation, production testing, and deployment activities. • Ensure compliance with quality standards, security requirements, and documentation processes.

• Plan, coordinate, and execute application and system deployments across multiple environments. • Support software release management and deployment activities for enterprise applications. • Collaborate with development, QA, DevOps, infrastructure, and business teams to ensure successful implementations. • Monitor deployment activities and resolve issues during production releases. • Maintain deployment documentation, runbooks, and standard operating procedures. • Ensure deployment processes comply with security, governance, and change management policies. • Perform deployment validation, rollback planning, and post-deployment support. • Automate deployment activities and improve operational efficiency where possible. • Coordinate environment readiness and release scheduling with stakeholders. • Troubleshoot deployment failures and provide timely resolutions.

• Manage and maintain high-quality master and transactional data across ERP systems • Collaborate with procurement, manufacturing, planning, finance, and operations teams • Support data governance, validation, and process standardization initiatives • Analyze and resolve data/process inconsistencies and operational issues • Participate in system implementation, migration, enhancement, and support activities • Work closely with business stakeholders to improve process efficiency and data accuracy • Drive documentation, compliance, and continuous improvement initiatives • Support testing, training, and deployment activities where required

• Lead and execute SAP Data Migration activities for enterprise transformation projects. • Work extensively on Material Master, Purchase Orders, Outline Agreements, BOM, Routing, and Contracts data objects. • Perform data extraction, cleansing, mapping, validation, and reconciliation activities. • Collaborate with business users, functional consultants, and technical teams to define migration requirements and data standards. • Support migration strategy, mock loads, cutover planning, and go-live activities. • Ensure data quality, governance, and compliance throughout the migration lifecycle. • Conduct functional validations and support issue resolution during testing and deployment phases. • Coordinate with cross-functional teams including procurement, manufacturing, supply chain, and master data management teams. • Create migration documentation, mapping sheets, SOPs, and status reports. • Mentor junior team members and support knowledge-sharing initiatives.

• Design, implement, and manage secure CI/CD pipelines and DevOps processes. • Automate infrastructure deployment and configuration management using Infrastructure as Code (IaC). • Implement cloud security best practices, governance, and compliance standards. • Collaborate with development, infrastructure, and security teams to ensure secure application delivery. • Conduct security assessments, vulnerability analysis, and risk mitigation activities. • Monitor infrastructure, applications, and cloud environments for performance and security threats. • Manage containerization and orchestration platforms such as Docker and Kubernetes. • Support incident response, disaster recovery, backup strategies, and business continuity planning. • Develop and maintain DevSecOps frameworks and automation workflows. • Provide technical leadership, mentorship, and documentation for operational processes.