Responsable de programme MES SCADA (H/F)

Candidate Profile

We are looking for a highly experienced professional with a strong background in industrial digitalization, MES/SCADA program management, and Smart Manufacturing initiatives. The ideal candidate combines strategic vision, technical expertise, and leadership skills to drive complex transformation programs in an international environment.

Education

Master's degree in Engineering, Computer Science, Industrial Automation, Information Systems, or a related field. An engineering degree or equivalent qualification is required.

Experience & Technical Skills

• Minimum of 10 years of experience leading MES and/or SCADA programs or projects within complex industrial and international environments.
• Proven experience managing large-scale transformation programs, including governance, budgeting, planning, risk management, change management, stakeholder engagement, and coordination of cross-functional teams and external partners.
• Strong understanding of manufacturing processes, IT/OT architectures, industrial automation systems, and integration with ERP platforms.
• Solid knowledge of industrial cybersecurity requirements and best practices.

Soft Skills & Leadership Competencies

• Strong strategic thinking and business acumen.
• Ability to drive innovation and lead change initiatives.
• Excellent relationship-building and stakeholder management skills.
• Strong customer and business orientation.
• Proven leadership, coaching, and team management capabilities.
• High level of maturity, autonomy, and decision-making ability.
• Excellent communication, influencing, and presentation skills.
• Adaptability and ability to work effectively in a fast-paced, international environment.
• Strong teamwork mindset and results-oriented approach

Additional Requirements

• Professional proficiency in English, both written and spoken.
• Willingness to travel regularly to industrial sites in France and internationally.
• Experience with Ignition (Inductive Automation) is highly preferred.
• Exposure to Smart Plant technologies (cobots, robotics, augmentad/virtual reality, digital inspection, etc.) and/or AI use cases applied to industrial data is considered a strong asset.
• Demonstrated leadership, pragmatism, analytical mindset, and the ability to influence stakeholders at all levels of the organization.