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Headsup Corporation

AI Executive

Mumbai, Maharashtra, India

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hirly's read of this role

Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
26 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

  • 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.
Original posting on Headsup Corporation's site ↗

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