ERP Senior Development Consultant

Key Responsibilities

Sanaullah & Co., a leading tax, corporate, and financial advisory firm with 15 years of excellence, is expanding its horizons into IT solutions with the launch of a new venture focused on ERP and business transformation. As part of this strategic growth, we are seeking an experienced and forward-thinking ERP Senior Development Consultant to play a key role in shaping our ERP development, implementation and consulting services. The ideal candidate will be responsible for:

Technical Leadership

• Define the architecture, technology stack, and development roadmap for the ERP/Accounting software.
• Lead the development of key features such as accounting, inventory management, payroll, CRM, and reporting modules.
• Ensure the platform is scalable, modular, and adaptable for future enhancements.
  
  

Software Development

• Oversee the full development lifecycle, including design, coding, testing, deployment, and maintenance.
• Collaborate with the product team to translate business requirements into technical specifications.
• Develop core functionalities like double-entry accounting, financial reporting, tax compliance, and reconciliation.
• Implement mobile-responsive designs for cross-platform compatibility (web and mobile).
  
  

Team Management

• Manage and mentor a team of developers, ensuring alignment with project goals.
• Provide technical guidance to resolve complex challenges and bottlenecks.
  
  

Domain Knowledge

• Understanding of accounting processes and ERP functionalities such as AR/AP, GL, payroll, inventory, and CRM.
• Familiarity with any ERP and accounting systems such as, Quickbooks etc.
  
  

Leadership Skills

• Proven track record in managing development teams and delivering large-scale projects.
• Excellent communication and stakeholder management skills.
• Ability to work in agile environments and prioritize deliverables effectively.
  
  

Good To Have

• Experience in developing modular ERP systems with micro services architecture.
• Familiarity with AI/ML for predictive analytics, fraud detection, or automation in accounting systems.
• Knowledge of localization and multi-currency handling for global markets.