Our colleagues at Odyssey Hotel Group have posted an interesting vacancy: Director of Engineering for the DACH region (Germany, Austria, Switzerland).
**About the Company:** Odyssey is an ambitious European hotel operator. They don’t own brands but manage hotels under the banners of giants like Marriott, IHG, and Accor. The company is growing rapidly, already employing over 800 people, and is clearly focused on expansion. The culture is entrepreneurial, fast-paced, and international. In short, these are serious players building a systematic business.
**What Problem Are They Trying to Solve?**
Let’s face it. Managing the engineering department of a single hotel is already a challenge. But managing a portfolio of hotels scattered across three countries with some of the world’s strictest technical and legal regulations (hello, German DGUV!) — that’s a true management hell.
**What Do We See in the Job Description?**
* **Standardization:** Develop and implement unified maintenance strategies, standards, and SOPs for all hotels. Currently, each hotel is likely a “patchwork” of its own practices.
* **Compliance:** Strict adherence to German and regional regulations (fire safety, DGUV, building codes). This means tons of paperwork, audits, and inspections. The cost of error is huge fines or even hotel closure.
* **Efficiency:** Management of HVAC, electrical, plumbing, and BMS systems. Optimization of energy consumption (ESG), capital expenditure (CAPEX) planning, and cost control.
* **Scaling:** Overseeing renovations, refurbishments, and the opening of new properties.
Essentially, Odyssey is looking for a superhero. A person who can keep track of the status of dozens of properties, predict breakdowns, monitor thousands of regulations, plan budgets, and constantly travel between Frankfurt, Vienna, and Zurich. This is a job not for a human, but for a system.
**How Does Artificial Intelligence Solve This Problem?**
Instead of hiring an expensive director who will try to manually piece together this mosaic, a centralized “digital brain” can be built for the entire engineering department. This is not a replacement for on-site technicians who turn wrenches, but a replacement for a regional director whose job is to collect, analyze, and make decisions based on data.
Imagine such a dialogue between Odyssey’s CEO and their new virtual assistant:
— *AI Director, show me the status of our DACH portfolio.*
— *”Good morning. 98% of systems are normal. Three potential issues have been identified. At the Holiday Inn Express Munich, the vibration of chiller #2’s motor has increased by 12% over the past 72 hours. The probability of failure within the next 30 days is 84%. I have already created a preventive maintenance request for the local team and ordered the necessary bearing from our approved supplier. Delivery is tomorrow at 10:00 AM. At the Autograph Collection Vienna, the fire suppression system inspection is due in 15 days. The responsible engineer has received three automatic notifications. I recommend escalating this to the hotel’s general manager. Electricity consumption in Berlin is 8% above the norm for current occupancy and weather. This likely indicates incorrect ventilation system settings on the 4th floor. A task for inspection has already been dispatched.”*
Sounds like science fiction? Yet, this is already a reality.
**Approaches, Tools, and Implementation Steps**
This isn’t done overnight, but the roadmap is quite clear.
1. **Data Collection (Digitization):** The foundation of everything. The system needs to be taught to “see” and “hear” each hotel.
* **Integration with BMS (Building Management Systems):** Most modern hotels already have these systems. All that’s needed is to configure APIs to collect data into a unified cloud storage.
* **IoT Sensors:** Inexpensive sensors (for vibration, temperature, pressure, energy consumption) are installed on critical equipment (chillers, boilers, elevators, pumps) where built-in sensors are absent. These are the “nerve endings” of our system.
* **Digitization of Documentation:** All technical passports, compliance certificates, maintenance logs, and regulatory acts are uploaded into a unified knowledge base.
2. **Creating the “Brain” (Platform and AI Models):**
* **Platform:** Ready-made solutions like IBM Maximo, Siemens MindSphere can be used, or a custom solution can be built based on cloud services (Azure IoT Hub, AWS IoT Core).
* **Predictive Maintenance Model:** AI analyzes data from sensors and BMS, identifies anomalies, and predicts breakdowns before they occur. This is a shift from planned (PPM) to predictive maintenance.
* **Compliance Bot:** An AI model trained on DACH legislation. It automatically tracks the deadlines for all checks, inspections, and calibrations. The system itself generates reports for regulatory bodies and signals the slightest risk of non-compliance.
* **Resource Optimizer:** This module correlates hotel occupancy data (from the booking system), weather, time of day, and energy tariffs to provide real-time commands to the BMS system for optimizing heating, ventilation, and lighting. Savings can reach 15-20%.
3. **Reducing Distrust (Implementation):** People on the ground will resist. “Big Brother is watching,” “the robot will take my job.” This is normal.
* **Pilot Project:** Start with 2-3 of the most receptive hotels. Demonstrate in practice how the system helps engineers, rather than replacing them. It tells them *what* will break and *when*, saving them from night-time emergencies.
* **”Advisor” Mode:** For the first six months, the system operates not in automatic, but in advisory mode. It issues alerts and and suggestions, and a human makes the final decision. This allows people to get used to it and the system to further learn from feedback.
* **Transparency:** Dashboards should be clear. If the AI says “check the pump,” it should show why: “vibration graph for the last week.”
**How to Validate the Results?**
Here, everything is simple and measurable. Unlike evaluating a human director’s work, which involves much subjectivity, with AI, everything boils down to numbers.
* **Equipment Uptime:** The percentage of time key systems (elevators, HVAC) were operational. Compare “before” and “after.”
* **Reduction in Emergency Calls:** The number of emergency repairs should drop by 50-70%.
* **Energy Savings:** Calculate kilowatt-hours per guest. The result is visible in utility bills.
* **Compliance Metric:** 100% of inspections passed on time. Zero fines.
* **ROI:** Compare the cost of system implementation and support with the savings (repairs, energy, fines) plus the annual salary and bonuses of the director we didn’t hire. I am confident the system will pay for itself in less than two years.
Colleagues at Odyssey Hotel Group, your vacancy is a cry for help from a rapidly growing business that has hit the ceiling of manual management. Perhaps what you need is not another manager on a plane, but a central nervous system for your hotels. It won’t ask for a company car or 30 days of vacation. It only needs access to data.
Источник: https://www.linkedin.com/jobs/view/4405321364/
