Process Engineer

Lead end-to-end process reengineering across TII’s business and IT landscape, acting as the bridge between business functions and IT/ERP teams, and embedding Agentic AI-enabled automation to redesign processes for scale, efficiency, and digital readiness.

• Lead end-to-end process reengineering and simplification initiatives across functions as part of, from as-is diagnostics through future-state process design.
• Act as IT Business Partner between business functions and IT/ERP teams, translating reengineered process requirements into system, configuration, and integration needs.
• Assess and redesign business processes leveraging ERP systems (e.g., SAP S/4
  
  HANA) to eliminate redundancies, automate manual steps, and improve end-to-end process efficiency.
• Identify, evaluate, and implement Agentic AI and intelligent automation opportunities to streamline workflows and reduce manual effort across reengineered processes.
• Develop process maps, SOPs, and RACI models for redesigned processes, ensuring alignment with ERP capabilities, system configurations, and data flows.
• Partner with IT teams to scope, prioritize, and validate ERP enhancements, integrations, and automations arising from process reengineering initiatives.
• Support project planning, tracking, and delivery of process reengineering work streams within, applying core project management practices across scope, timeline, risk, and stakeholder tracking.
• Conduct change impact assessments and process readiness evaluations prior to rollout, in coordination with change management and business teams.
• Build and maintain a process reengineering benefits tracker to quantify efficiency gains, cost savings, and automation impact.
• Facilitate workshops with business and IT stakeholders to validate reengineered processes, gather requirements, and drive consensus on future-state designs.

• 8–12 years of progressive experience in business process reengineering, business analysis, or IT business partnering roles.
• Hands-on experience working with ERP systems (e.g., SAP S/4
  
  HANA) in a process design or business-IT liaison capacity.
• Exposure to Agentic AI, RPA, or intelligent automation implementations in an enterprise setting.
• Experience with in R&D, technology, innovation, government-linked entities, or matrix environments strongly preferred.
• Bachelor's or Master's degree in Business Administration, Industrial Engineering, Information Systems, or a related discipline (required).
• Relevant professional certifications (e.g., Lean Six Sigma, CBAP, PMP, or SAP/ERP certification) are an advantage.