Position: AI Executive

Department: Operations &

- Digital Transformation

Location: In office / 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: data,tableau,automation studio,bi analyst,dashboards,ai executive,visual analytic,automation,reporting,power bi,analytics

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