Who You'll Work With
As a member of the MSC-X MAKE team, you will have the opportunity to collaborate with over 100 skilled professionals at one of our Client Capabilities Centers located in Madrid, Lisbon, or Wroclaw.
At MSC-X, you will be immersed in an environment rich with technical expertise in the fields of Manufacturing and Supply Chain, supported by a comprehensive suite of both proprietary and third-party tools designed to expedite diagnostics and drive transformative processes.
Additionally, you will be part of a global network, with significant MSC-X hubs in North America and India, enhancing our collaborative and innovative capabilities across continents.
What You'll Do
In this role, you will be at the forefront of digital manufacturing innovation. Your deep passion for the field, combined with your proven academic or professional background, will drive you to continuously expand your knowledge and apply cutting-edge practices to assist our clients. You'll be responsible for extracting data from key shopfloor manufacturing systems like MES, SCADA, IoT devices, and PLCs. Using this data, you'll leverage analytical tools to pinpoint and implement improvements across various operational processes.
Moreover, you will play a critical role in developing new digital tools. These tools will not only enhance the capabilities of McKinsey consultants but will also be directly implemented in client operational environments, making a tangible impact on their business. You'll have the opportunity to work across a range of industries, collaborating closely with McKinsey's manufacturing experts. While your initial focus will be on European clients, the scope of your role may grow to include supporting projects in other global regions. This is a dynamic position that promises growth, challenge, and the chance to be part of leading-edge changes in the manufacturing sector.
While portions of the work may be remote, you will be also actively traveling to client sites and engaging closely with both clients and the broader McKinsey team. This dynamic part of the job will accelerate your learning and enable you to focus intensely on achieving substantial, tangible impacts for our clients.
In between client studies, you will bring your learnings back to our internal team to further improve and automate data capture, analytics and presentation of insights to clients. You will help us strategize next-generation approaches where we either develop proprietary McKinsey tools or selectively partner with third party companies. Through your work, you'll have opportunities to present results to client management and implement recommendations in collaboration with client team members. You'll gain new skills and build on the strengths you bring to the firm.
Qualifications
Undergraduate or master's degree in a technical field (science, engineering)
2+ years of work experience in a technical field or in manufacturing environments such as chemical, automotive and industrial, pharmaceutical, steel or electronics
Passion for digital manufacturing (ITOT, IoT, analytics, etc.) with demonstrated academic/professional qualifications
Ideally, some background in low/no-code MFG toolkits and working understanding of common coding languages, e.g. python
Fluency in MFG data sources (MES, SCADA, IoT devices, PLCs, etc.) and ideally some background in extracting/cleaning/modeling data from said sources
Understanding of manufacturing concepts such as lean/agile, throughput, OEE (Overall Equipment and Energy Effectiveness), quality, etc.
Demonstrated strong conceptual and analytical skills; success in working on high impact cross-functional teams; strong decision making and problem-solving skills
Demonstrated aptitude for analytics
Proven record of leadership in a work setting and/or through extracurricular activities, and an entrepreneurial bent
Ability to work effectively with people at all levels in an organization
Ability to communicate complex ideas effectively – both verbally and in writing – in English
Willingness and excitement to travel and work internationally
Spanish proficiency a plus (both for European and Latin American studies)
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