Engineering Manager -AI Digital Twin & Operations research

• Define and execute the engineering strategy for a large-scale Operations Intelligence platform.
• Build, lead, mentor, and grow multidisciplinary teams across software engineering, AI/ML, data science, and optimisation.
• Drive the development of digital twin capabilities that model end-to-end operational processes and support strategic decision-making.
• Lead the implementation of operations research solutions, including mathematical optimisation and simulation models.
• Establish engineering best practices, governance frameworks, architecture standards, and delivery processes.
• Partner closely with business leaders to translate operational challenges into scalable technology solutions.
• Own platform roadmap prioritisation, balancing commercial objectives with technical excellence.
• Drive continuous improvement initiatives through advanced analytics, process mining, automation, and predictive modelling.
• Develop integrated planning and decision-support systems that improve operational coordination and resource utilisation.
• Oversee cloud-native platform architecture, MLOps standards, and AI product delivery.
• Ensure successful execution of complex transformation programmes involving multiple stakeholders and business functions.
• Create performance frameworks that connect operational outcomes to measurable business value and return on investment.
• Lead strategic vendor, partner, and technology evaluations to support long-term capability development.

Lead AI-driven operations transformation at global scale.Build intelligent platforms that optimise complex operations.

• Bachelor's or Master's degree in Engineering, Computer Science, Operations Research, Applied Mathematics, Data Science, or a related discipline.
• Proven experience leading engineering organisations within complex operational environments.
• Strong people leadership background with a demonstrated ability to build, coach, and scale high-performing teams.
• Experience delivering AI, machine learning, analytics, or optimisation platforms that generated measurable business outcomes.
• Strong understanding of software engineering, cloud technologies, data platforms, and modern development practices.
• Experience translating business strategy into technology roadmaps and execution plans.
• Excellent stakeholder management skills, with the ability to influence senior leadership and cross-functional teams.
• Commercially, with a strong understanding of operational performance, efficiency, and value creation.
• Comfortable operating in ambiguous, fast-paced, and transformational environments.
• Strong analytical and problem-solving capabilities combined with strategic thinking.
• Experience within logistics, supply chain, transportation, manufacturing, infrastructure, or other asset-intensive industries is advantageous.
• Knowledge of simulation, optimisation, digital twins, operational planning, or industrial analytics is highly preferred.

Our client is a global, asset-intensive organisation undergoing a significant digital transformation. By combining advanced analytics, artificial intelligence, simulation technology, and operational optimisation, the company is creating next-generation decision-support capabilities to improve efficiency, scalability, and business performance.

Operating across complex operational environments, the organisation is investing heavily in technology as a key competitive differentiator. Innovation, collaboration, and measurable value creation are at the centre of its long-term strategy.

• Een bruto jaarsalaris tussen €80.000 en €120.000, afhankelijk van ervaring;
• Opportunity to lead a strategically critical transformation programme with global visibility.
• Executive-level exposure and influence across technology, operations, and business leadership.
• Build and shape a new engineering organisation from the ground up.
• Work with cutting-edge technologies across AI, simulation, optimisation, and advanced analytics.
• Significant autonomy in defining technology vision, team structure, and delivery approach.
• Competitive salary and comprehensive benefits package.
• Strong focus on professional development, leadership growth, and long-term career progression.
• The chance to create lasting business impact through innovation, operational excellence, and scalable technology solutions.