About the role
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.