Point of Sales Platforms

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.