Engineering Manager – AI Digital Twin & Operations Research

What is the opportunity and why should you apply?

What: Lead an engineering squad building APMT's Operations Intelligence capability. You will own delivery of AI-powered digital twins, integrated planning systems and operations research models across vessel, yard, gate and rail workflows. You will be hands-on in architecture and code reviews, grow a high-performing team, and turn the platform roadmap into production systems that move ROIC.

Why: This platform unifies vessel, gate, yard and rail operations into one coordinated system that integrates with the Future Execution Platform. It closes the loop from planning to execution. When OR models and digital twins predict bottlenecks and remove waste before it hits operations, that is competitive separation, and your squad builds it.

What You'll Build & Deliver

Simplify Operations: Operations Research & Mathematical Optimization

Build MILP, Constraint Programming and stochastic optimization models for berth scheduling, storage allocation and equipment routing, the mathematical backbone of the AI Big Bet

Apply optimization to historical terminal designs to accelerate new terminal planning and shorten time-to-revenue

Use DES to model operational continuity during expansion projects, as volume grows and construction constrains space

Ship prescriptive solvers that produce executable plans and recommendations, not just predictions

End-to-End Integrated Planning: Operational Digital Twin

Extend the Discrete Event Simulation engine across vessel, gate, yard and rail to predict bottlenecks and test scenarios before they reach operations

Build self-learning optimization engines for yard strategy, decking and container positioning

Deliver integrated planning components that adjust in real time as vessels delay, volumes surge or equipment fails

Build decision support tools that turn complex trade-offs into clear recommendations for operations teams

APMT Business Systems:

Deploy AI-powered process mining to find and remove waste from berth allocation to gate release

Build continuous benchmarking that tests terminal performance against global best practice

Deliver dashboards that connect frontline moves to financial outcomes

Build predictive equipment utilization and labour optimization models so terminals serve more volume with the existing asset base

Simplify Model Architecture: API-Driven Simulation & Agentic Capability

Decompose monolithic simulation models into modular, API-accessible components that AI agents can call on demand

Build agentic workflows that select and orchestrate simulation APIs based on operational questions, turning weeks of custom modelling into fast answers

What Makes You Right for This

Technical Foundation

10+ years in software or data engineering, including 3+ years leading engineers who ship AI/ML systems to production with measurable business impact

Strong hands-on expertise in Python/R data science ecosystems, cloud infrastructure (AWS/Azure/GCP) and modern MLOps

Practical experience with optimization (MILP/CP), simulation, predictive analytics or industrial IoT in logistics, manufacturing or infrastructure

Credible enough technically to review designs, unblock engineers and make sound build decisions

Business Mindset

You understand how your team's work flows into ROIC through operational efficiency, commercial growth and concession wins

You build reusable components, so each new DES or OR model strengthens the platform across the terminal network

You translate operational realities into engineering requirements and explain technical trade-offs in terminal language

Leadership

You lead a squad of 6–10 engineers and data scientists, setting priorities, running delivery and holding a high quality bar under Engineering Excellence standards

You coach and grow your engineers, hire well and build a team that ships, learns and improves

You work closely with product owners, operations experts and peer squads to land integrated outcomes

You turn a defined roadmap into crisp sprint plans and raise risks early

Industry Fluency (Preferred)

Background in ports, logistics, supply chain or asset-intensive operations

Understanding of maritime operations, terminal economics or heavy industrial optimization

Why This Role Matters

Your squad's models and tools will help APMT win more business, run terminals more efficiently and compete on intelligence, not just scale. Every model you ship and every waste stream you remove flows directly to shareholder returns and better service for the supply chains.

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Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

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