
Technology Study Lead
- Monaco
- CDI
- Temps-plein
- Bring together and lead diverse engineering disciplines - mechanical, electrical, instrumentation, hydrodynamics - and external partners (labs, universities, subcontractors, certification bodies) to develop solutions and innovative concepts from early stage to full scale validated prototypes,
- Coordinate the entire lifecycle of R&D initiatives, including design basis documentation, design development advanced analytics, small-scale tests, full-scale experiments and final qualification documentation.
- Work closely with the IP team to identify past or emerging trends and protect valuable innovations, ensuring proper patent filings and strategic oversight of intellectual property worldwide.
- Design test protocols, review and interpret results to validate performance. Present findings to stakeholders and use obtained insights to guide the next steps.
- Manage the procurement of equipment for testing and development by contacting vendors, obtaining competitive quotations, and coordinating with the purchasing team to issue purchase orders.
- Collaborate with business development, proposals, framing and project teams to capture client needs, present solutions and support co-development opportunities.
- Provide clear direction, set tasks and objectives and foster a positive environment within the project team. Ensure timely delivery of studies by assigning responsibilities effectively and coaching team members to excel.
- Incorporate HSSE, regulatory, and quality criteria in project designs and execution. Proactively mitigate risks and adapt scopes as needed to maintain project momentum.
- A Master's degree in mechanical engineering (PhD is a plus), with at least 7 years of work experience
- Excellent command of English, both written and spoken
- Experience in design of equipment and in manufacturing and construction
- Proficiency in FEA and other numerical engineering analysis methods;
- Advanced analytical and problem-solving abilities, including strong mathematical modeling and data interpretation skills; experience in coding is a plus
- Strong quantitative aptitude for handling complex numerical data, cost analysis, and feasibility studies
- Strategic thinking and decision-making skills to guide project direction and optimize solutions
- Proven ability to collaborate and lead cross-functional teams, fostering a productive and supportive environment
- Good communication and presentation skills, able to clearly articulate technical findings to diverse audiences