AI Executive

Position: AI Executive 
Department: Operations & Digital Transformation 
Location: On-site / Office

Work Schedule: 6 Days a Week

Role Overview 
The AI Executive will drive the adoption of artificial intelligence and automation tools across , You will design, maintain, and optimize business intelligence dashboards, streamline 
operational workflows, and integrate smart solutions into our Facility Management Systems (FMS). 
This hands-on role requires a blend of data handling, process automation expertise, and a drive to 
turn raw operational data into actionable insights for leadership.

Key Responsibilities 
1. Dashboard Development & Business Intelligence 
• Build, deploy, and maintain real-time interactive business dashboards (using Power BI, 
Tableau, or AI-integrated visual analytics tools). 
• Connect disparate departmental data sources (Production, Supply Chain, Sales, HR, Facility 
Management) into centralized reporting hubs. 
• Ensure data hygiene, continuous accuracy, and high visibility for management decision
making. 
2. Workflow & Process Automation 
• Map existing manual workflows and implement AI-driven automation (e.g., RPA, Zapier, 
Make, custom scripts, or LLM agents). 
• Eliminate repetitive administrative tasks, reduce manual reporting errors, and optimize 
operational turnaround times. 
• Continuously audit active automations to ensure stability and smooth performance across 
departments. 
3. Facility Management System (FMS) Integration 
• Apply AI tools to simplify, maintain, and upgrade the internal Facility Management System 
(FMS). 
• Set up automated tracking for equipment maintenance, facility ticketing, energy usage, and 
operational downtime. 
• Leverage predictive analytics to anticipate facility maintenance needs and reduce operational 
bottlenecks. 
4. Decision Support & Insight Generation 
• Perform trend analysis and predictive modeling on operational data to highlight cost-saving 
and efficiency opportunities. 
• Draft executive summaries, automated alerts, and regular analytics reports for senior 
management. 
• Train cross-functional team members on utilizing AI dashboards and simplified FMS 
interfaces. 
Requirements & Qualifications 
• Education: Bachelor’s degree in Computer Science, Information Technology, Data Analytics, 
Engineering, or a related field. 
• Experience: 1–3+ years of hands-on experience working with data analytics, process 
automation, or enterprise software tools. 
• Technical Skills: 
o Proficiency in BI tools (Power BI, Tableau, Looker) and data manipulation (SQL, 
Excel/Google Sheets advanced functions). 
o Familiarity with automation tools (Zapier, Make, Power Automate, or Python 
scripting). 
o Understanding of AI tools (Generative AI APIs, LLMs, AI reporting extensions) and 
Facility Management Systems (FMS). 
• Soft Skills: 
o Strong analytical thinking and structured problem-solving skills. 
o Clear communication skills to translate complex data into practical business terms. 
o Ability to collaborate effectively in a fast-paced, 6-day manufacturing work 
environment.