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
• 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.
• 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.
• 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.
• 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:
• Proficiency in BI tools (Power BI, Tableau, Looker) and data manipulation (SQL, Excel/Google Sheets advanced functions).
• Familiarity with automation tools (Zapier, Make, Power Automate, or Python scripting).
• Understanding of AI tools (Generative AI APIs, LLMs, AI reporting extensions) and Facility Management Systems (FMS).
• Soft

Skills:
• Strong analytical thinking and structured problem-solving skills.
• Clear communication skills to translate complex data into practical business terms.
• Ability to collaborate effectively in a fast-paced, 6-day manufacturing work environment.

Skills:
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