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

• 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.
• 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.
• 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.
• 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.
• 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.