AI-Driven Elevator Tech Analyst (MyTA)

thyssenkrupp Elevator

Wythenshawe

On-site

GBP 45,000 - 60,000

Full time

8 days ago
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Benefits offered by this job

Competitive salary & bonus
34 days holiday incl. bank holidays
Company pension
Health Cash Plan
Life Assurance
Employee Assistance Programme
Health & wellbeing services
Employee benefits & recognition
Ongoing technical development
Opportunities across Europe and Africa
Exposure to AI, analytics & connected‑
Career development in international•
Shaping AI-enabled support at ITS

Job summary

thyssenkrupp Elevator seeks an experienced elevator/escalator engineer to help build and validate AI-enabled technical support. You will translate engineering know-how into accessible digital content and work with ITS and field teams across Europe and Africa.

Based in Manchester, you will evaluate MyTA outputs, challenge inaccuracies, and identify knowledge gaps while contributing to governance and development of AI-driven support capabilities.

Qualifications

  • NVQ Level 3 or 4 qualification in Elevators and/or Escalators, or equivalent relevant technical qualification/experience.
  • Strong technical knowledge of elevator and/or escalator systems and fault-finding processes.
  • Practical experience diagnosing technical problems and identifying appropriate solutions.
  • Strong analytical and problem-solving capability.
  • Confidence questioning information and investigating when something doesn't appear technically correct.
  • Ability to communicate complex technical information clearly to both technical and non-technical audiences.
  • Strong attention to detail and commitment to technical accuracy.
  • Ability to work independently while contributing effectively within a multidisciplinary team.
  • Curiosity, initiative and willingness to learn new technologies and ways of working.
  • Experience that would be advantageous

Responsibilities

  • Monitor and evaluate MyTA performance and the quality of its technical responses.
  • Review AI-generated technical information for accuracy, relevance, clarity & practical usefulness.
  • Use your elevator and/or escalator engineering experience to challenge outputs that don't make technical sense or could lead an engineer in the wrong direction.
  • Analyse user feedback, enquiries and support data to identify recurring issues, knowledge gaps and opportunities for improvement.
  • Work with technical specialists to improve the quality & structure of information available to MyTA
  • Identify patterns in field enquiries that may indicate wider technical, documentation, training or product-support requirements.
  • Help translate complex engineering knowledge into clear information that can be effectively consumed through digital support channels.
  • Develop reporting and visualisation tools that help us understand how MyTA is being used and where it creates value.
  • Work with international ITS and field organisations to understand different technical-support requirements across Europe and Africa.
  • Support the development and validation of new AI-enabled technical-support use cases.
  • Contribute to digitalisation, analytics and innovation projects across ITS.
  • Help establish appropriate quality and governance principles as our use of AI-enabled technical support continues to develop.

Skills

NVQ Elevators/Escalators
Elevator/Escalator expertise
Fault finding
Analytical thinking
Clear communication
Attention to detail
Independent work
Curiosity & learning
Documentation experience
Data analysis exposure
Training delivery
Cross-country experience
AI tools familiarity
Additional language

Education

NVQ Level 3/4 Elevators/Escalators

Job description

thyssenkrupp Elevator seeks an experienced elevator/escalator engineer to help build and validate AI-enabled technical support. You will translate engineering know-how into accessible digital content and work with ITS and field teams across Europe and Africa.

Based in Manchester, you will evaluate MyTA outputs, challenge inaccuracies, and identify knowledge gaps while contributing to governance and development of AI-driven support capabilities.

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