Continuous Improvement and Process Optimization
Map, analyze, and redesign future (To-Be) processes, incorporating AI, automation, and intelligent technologies to improve efficiency.
Ensure AI solution implementations are integrated, seamless, and scalable within existing workflows.
Perform cost-benefit (ROI) and operational impact analyses before and after automation initiatives.
Define and monitor performance metrics for automated processes, such as cycle time reduction, mitigation of human errors, and productivity gains.
Strategic Opportunity Identification
Use continuous improvement methodologies (Lean, Six Sigma, Design Thinking, or similar) to identify and prioritize processes suitable for automation or enhancement.
Proactively identify high-value opportunities for applying AI (such as Generative AI, Computer Vision, NLP, among others).
Align operational efficiency opportunities with the company's strategic objectives, contributing to the evolution of working models.
Integration and Implementation
Collaborate with technology, product, and business teams to enable implementation of proposed solutions.
Document processes, requirements, and flows clearly and structured.
Support testing, validation, and continuous improvements after automation deployment.

Proven experience in process mapping, analysis, and redesign.
Knowledge of continuous improvement methodologies (Lean, Six Sigma, BPM, Design Thinking).
Experience in automation projects, digital transformation, or initiatives involving AI.
Analytical capability to conduct ROI studies, operational gains, and efficiency impact assessments.
Clear, structured communication skills oriented to multidisciplinary teams.
Organization, systems thinking, and a strong delivery focus.
Differentials: Experience with BPM and automation tools.
Practical knowledge of Generative AI, Computer Vision, Machine Learning, or language models.
Certifications in process management, continuous improvement, or agile methodologies.

Process Analyst II – Automation

Key skills