ROLE PURPOSE Lead the development, enhancement, integration, and operational excellence of Point of Sales (POS) applications within the Sales & Distribution ecosystem. Drive technology modernization, process automation, and AI-powered innovation to improve sales productivity, operational efficiency, system reliability, and user experience across all sales channels. Key Responsibilities A. POS Application Leadership & Ownership • Own the end-to-end POS application lifecycle, including architecture, development, configuration, testing, deployment, and maintenance. • Ensure POS applications support business requirements across sales channels, outlets, dealers, and distribution operations. • Drive application simplification, standardization, and modernization to support business transformation and system integration. • Define technical roadmaps, development priorities, and delivery plans aligned with Sales & Distribution business objectives. B. Technical Development & Solution Engineering • Lead and actively participate in hands-on development, coding, debugging, configuration, and technical problem-solving. • Design scalable, secure, and high-performance application solutions using modern technologies and development practices. • Manage API development, middleware integration, database design, and connectivity with core systems and other enterprise applications. • Establish coding standards, conduct code reviews, and ensure compliance with IT architecture, security, and quality standards. • Troubleshoot complex production issues and drive root cause analysis (RCA) and permanent corrective actions. C. AI Development & Intelligent Automation • Develop and implement AI-powered solutions to improve POS capabilities, sales processes, and operational efficiency. • Build AI applications and services using appropriate AI models, APIs, frameworks, and enterprise data. • Explore and implement Generative AI and Agentic AI to automate repetitive tasks, accelerate development, and improve operational decision-making. • Develop AI-assisted monitoring, anomaly detection, predictive analysis, and intelligent incident management capabilities. • Identify opportunities to integrate AI into sales operations, outlet management, transaction monitoring, and user support. • Ensure AI solutions meet enterprise security, data privacy, governance, accuracy, and reliability requirements. D. System Integration & Technology Modernization • Ensure seamless integration between POS and other Sales & Distribution systems, including outlet management, dealer management, sales applications, incentive systems, and enterprise platforms. • Drive API standardization, reusable services, and system interoperability across business applications. • Lead technology upgrades and migration initiatives to improve scalability, maintainability, and integration readiness. • Collaborate with Enterprise Architecture, Infrastructure, Cybersecurity, IT Operations, and external technology partners. E. Service Reliability & Operational Excellence • Ensure POS application availability, performance, scalability, and transaction reliability. • Monitor application health, identify performance bottlenecks, and implement proactive monitoring and automation. • Lead incident resolution, problem management, and service improvement initiatives. • Establish service KPIs, technical documentation, disaster recovery readiness, and operational handover standards. Required Technical Competencies • Strong knowledge of POS applications, sales distribution systems, and enterprise application architecture. • Hands-on software development skills in relevant programming languages and frameworks. • Experience in REST APIs, microservices, middleware, databases, and enterprise system integration. • Practical experience developing and deploying AI solutions, including Generative AI, LLM integration, or Agentic AI. • Knowledge of AI frameworks, prompt engineering, RAG, AI agents, and model/API integration. • Understanding of CI/CD, DevOps, automated testing, application security, and performance optimization. • Experience with cloud platforms, observability tools, and AI-assisted monitoring is an advantage. Leadership & Business Competencies • Strategic thinking and technology roadmap development. • Strong people leadership, coaching, and talent development. • Agile delivery and project management. • Stakeholder communication and vendor management. • Strong analytical thinking, problem-solving, and decision-making. • Ability to translate business challenges into scalable technology and AI solutions. • Strong ownership and accountability for delivery and production stability. Key Performance Indicators (KPIs) • POS application availability and transaction success rate. • Application performance and reduction in critical incidents. • On-time delivery of development projects and business requirements. • Number and business impact of AI solutions successfully implemented. • Productivity improvement and operational cost reduction through automation. • Reduction in manual processes and mean time to resolve incidents (MTTR). • Quality of system integration and successful technology modernization. • Team capability development and engineering quality improvement. Minimum Qualifications & Experience • Bachelor's degree in Information Technology, Computer Science, Software Engineering, or a related field. • Significant experience in application development, enterprise systems, and IT solution delivery minimal 3 years • Proven experience leading technical teams and managing business-critical applications. • Demonstrated hands-on capability in software engineering and solution design. • Practical experience building or implementing AI-powered applications or automation solutions. • Experience managing partners, budgets, projects, and cross-functional stakeholders.