Description
Job Summary:
A professional to lead the implementation of AI, automation, and data analytics solutions to transform operational controls and optimize industrial processes.
Key Highlights:
1. Lead the implementation of AI, automation, and industrial data analytics
2. Play a strategic role in transforming operational controls and optimizing operations
3. Focus on productivity, cost reduction, and information reliability
An industry undergoing operational evolution and strengthening process intelligence seeks a professional to lead the implementation of AI, automation, and data analytics solutions applied to the industrial environment.
The position will play a strategic role in transforming operational controls, integrating data, automating critical routines, and generating KPIs to support decision-making—with emphasis on productivity, cost reduction, scalability, and information reliability.
**Key Responsibilities:**
Map critical processes across operations, PPC (Production Planning and Control), procurement, inventory, billing, and KPIs
Identify bottlenecks, inefficiencies, and automation opportunities focused on productivity gains
Implement AI and automation solutions applied to industrial and administrative environments
Design executive and operational dashboards for real-time KPI monitoring
Integrate data from multiple sources and systems, ensuring consistency, traceability, and usability
Support the evolution of predictive controls for demand, inventory, procurement, and operational performance
Automate routines and control workflows, reducing rework, manual errors, and operational dependency
Support leadership in building a data-driven culture and decisions based on KPIs
Train key users and leaders on the use of implemented tools
Monitor ROI, solution adherence, and opportunities for continuous improvement
Requirements:
Solid experience with process automation, data, BI, and digital transformation
Experience in industrial environments, operations, supply chain, PPC, billing, or integrated processes
Knowledge of system integration, KPI structuring, and control automation
Proficiency in data analysis and visualization tools such as Power BI or similar
Familiarity with automation languages or tools such as Python, SQL, R, or equivalents
Ability to translate operational needs into practical business solutions
Analytical, consultative, structured profile with strong cross-functional communication skills
Willingness to conduct occasional on-site visits as required by project phase
**Preferred Qualifications:**
Experience with industrial ERP systems
Experience with AI applied to operations, demand forecasting, inventory, procurement, or billing
Certifications in data, analytics, AI, or digital transformation
Proven track record of implementing projects delivering measurable results
**Expected Outcomes:**
Reduction of operational cycle times
Improved data reliability
Reduction of waste and rework
Faster and more accurate decision-making
Automation of critical controls
Real-time managerial visibility
Short- and medium-term ROI generation
**Expected Behavioral Profile:**
Systemic thinking
Ownership mindset
Prioritization ability
Strong communication with technical and operational teams
Maturity to drive change
Results-oriented with pragmatism