Mechanical Production PA/QA

Thales is hiring a Mechanical Production PA/QA. Level rates it ; you can apply on Thales.

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Level rates this role Little AI ●○○○: aI is not part of the work.
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AI in this role

A Joint Venture between Thales (67%) and Leonardo (33%), Thales Alenia Space is a global space manufacturer delivering, for more than 40 years, high-tech solutions for telecommunications, navigation, Earth Observation, environmental management, exploration, science and orbital infrastructures. Thanks to our diversity of skills, talents and cultures, our customers (governments, institutions, space agencies, telecommunications operators), therefore have Space to Connect, Secure & Defend, Observe & Protect, Explore, Travel & Navigate.

Mechanical Product - Product Assurance Manager

Job Description

Within the Product Quality organization, research a profile who already masters quality processes in the space domain. The profile will exercise the Quality and Product assurance missions in the Mechanical Production domain of space products. This job requires competences in Industrialization, in the aim to implement the quality for a single product or serial production. The profile will work within an integrated team. English fluent is required

For the programs and according to their progress, main tasks are described :

• Capture information about the project / product and its requirements,

• Present a qualification status of the equipment,

• Create or update the quality documents in accordance with customer requirements and our Quality Management System (QMS), with the support of engineering and Engineering Quality Assurance,

• Contribute to the application of PFMEA process (Process Failure Mode Effect Analysis),

• Approve technical documentation from Engineering, Industry

• Monitor the qualifications and the critical Items,

• Manage the Quality Engineering and Quality Supply Chain to provide a complete quality status of the products and equipment’s,

• Participate, contribute to supplier, internal or customer reviews (EQSR, PDR, CDR, QR, MRR, KIP / MIP, TRR, TRB, DRB),

• Check the engineering and configuration documents,

• Ensure the correct application of the design, definition and procedures review processes,

• Approve the manufacturing drawing and Manufacturing Operation Sheet (MOS) for internal product,

• Contribute, prepare and participate to MRR & TRR customer preparation reviews, provide the quality status (NCR list, RFW list), fill in the performance indicators of reviews,

• Contribute, prepare and participate for TRB and DRB customer reviews, provide the quality status (NCR list, RFW list), Fill in the checklists of these reviews, • Manage the KIPs (internal) or MIPs (With customer presence),

• Contribute to the preparation of EIDPs by establishing the final list of NCRs, RFWs, "open work" list and the Certificate of Conformity,

• Manage the NCRs and the analyses of major NCR and present the dispositions to customers with technical support and support the CC to solve unblock the problems in clean room if needed,

• Exercise the right to alert in case of non-compliance with the QMS, communicate, • Participate, prepare and contribute to risk / opportunity analyses of the engineering, production and / or industrialization phases,

At Thales Alenia Space we provide CAREERS and not only jobs. With Thales Alenia Space employing around 8,900 employees in 10 countries with 17 sites in Europe and a plant in the US, our mobility policy enables employees each year to develop their careers at home and abroad. Thales Alenia Space sees space as a new horizon, helping to build a better, more sustainable life on Earth #SpaceForLife. Great journeys start here, apply now!

How we rate this

Mechanical Production PA/QA at Thales rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.