Mgr, Fleet Data Analysis, Diagnostic & Predictive Services

Duties and Responsibilities:

  of

 Time

1.

Set the basis to provide the delivery of the advanced services, defining roles and competences necessary to fulfil the delivery of such services and related training requirements and implementation model 

25

2.

Provide governance and evolution strategy of advanced services to be delivered, ensuring coherence and harmonization with LH Digital Transformation roadmap and go-to-market strategy 

25

3.

Define and manage service delivery priorities, service level definition and relevant KPI’s. 

10

4.

Liaise and provide feedback and/or requirement for improvement to the Integrated Project Team, taking benefit from on field experience of delivery functions 

10

5.

Liaise with Geographies to set up the cross geo approach to the delivery of the services 

10

6.

 Provide support to the responsible functions within the IPT in order to assure the validation and verification of  data is consistent with model and contribute in the definition of potential future evolution of predictive services and usage monitoring with “certification credit” purposes

5

7.

Provide support to the responsible functions within the IPT in maintaining, updating and enhancing the databases needed for the monitoring of the in-service fleet operational data (i.e. flight hours, fleet availability figures) and reliability data. This in support of and acting as a collector of requirement from the AWPC based functions who will benefit of the managed data.

5

8.

Manage resources and communications effectively within the CSS&T organization. Ensure the presence of a robust initial and recurring training plan to guarantee the continued development, growth and process adherence for the assigned team.  Escalate major issues and solutions; communicate team status and KPI’s to management.

Perform other duties and fulfill other responsibilities as assigned.

10

                                                                                                                         TOTAL:

 100    

• Bachelor or Master Degree in Industrial Engineering (Aeronautics/Mechanics/Electronics/Information technology) or equivalent industry experience and background
• Basics of descriptive and inferential statistics theory
• Digital basis competencies (MS suite, CRM, Power BI); basic Skills in Python or equivalent coding languages is recommended

• 5 years’ minimum experience preferably operating in an Engineering / Maintenance / Simulation & Training / Data Analysis based business.
• Previous experience in customer facing roles in an aeronautical industry/environment recommended
• Previous internal experience within LH Engineering, CSS&T, or Digital transformation is a plus.

1.

Collaboration, Team work, leadership

2. 

Problem solving attitude

3.

Prone to take initiatives, “think outside the box”

4.

Second language is a plus

5.

Availability to travel abroad

6.

Dedicated and professional