Engineer Manager- Data Foundation (Data & AI)

Engineering Manager Data Foundation

A.P. Moller Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80000 staff. An integrated container logistics company Maersk aims to connect and simplify its customers supply chains.

Today we have more than 180 nationalities represented in our workforce across 131 Countries and this mean we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too.

The team - who are we:

We are an ambitious team with the shared passion to use data data science (DS) machine learning (ML)

advanced simulation optimization and engineering excellence to make a difference for our customers.

We are a team not a collection of individuals. We value our diverse backgrounds our different personalities and

strengths & weaknesses. We value trust and passionate debates. We challenge each other and hold each other

accountable. We uphold a caring feedback culture to help each other grow professionally and personally.

We Offer - This Is What You Get

You will be part of the APM Terminals team within Global data and analytics (GDA). We believe data and AI are crucial to how we will operate grow and shape our industrys future. Our Data and AI Foundation is the platform making this possible unifying trusted data across our business and fuelling advanced analytics and AI solutions. Its central to our ambitious journey of becoming a truly data-driven AI-enabled organization.

Were looking for a hands-on Engineering Manager to build and scale this foundation. This is a unique opportunity for someone whos as comfortable diving into code and architecture as guiding a team a leader who can inspire great engineers while ensuring AI is built into the core of our platform.

What youll do

• Lead the development of a global Data and AI platform the backbone of data & AI innovation across APM Terminals.
• Act as a hands-on technical leader leading by example owning architecture decisions writing key parts of the codebase and tackling complex problems alongside your team.
• Build for reuse and scale designing shared data models KPIs pipelines and APIs that empower teams across APMT to innovate faster.
• Infuse the platform with intelligence applying AI to improve data quality automate monitoring and boost developer productivity.
• Advance our ML / AI Ops capabilities ensuring seamless model training deployment monitoring and lifecycle management for reliable AI in production.
• Empower teams to build and scale AI & GenAI solutions by providing trusted data and robust production-ready infrastructure.
• Work with product architecture and business stakeholders to turn real needs from operations commercial finance and more into durable platform features.
• Coach and mentor a talented engineering team inspiring a high bar for quality ownership and continuous improvement.

What makes this role stand out

• Lead build you get to manage a team and remain deeply technical (no need to choose one or the other).
• Intelligent platform the foundation gets smarter with AI to constantly improve quality speed and scale.
• Broad impact your technical decisions and code will accelerate innovation across the company enabling many teams to create value faster.
• Global challenge real impact youll tackle complex cross-domain problems at global scale and see your solutions make a lasting difference.

What were looking for

• Deep engineering experience strong background in data engineering including designing and operating large-scale data and AI platforms.
• Proven leadership youve managed and developed engineers while staying technical (architecture code reviews even coding when needed).
• Modern architecture skills solid understanding of cloud-native data architectures platform engineering and best practices in building robust scalable data systems.
• AI/ML exposure hands-on experience with AI/ML or data science systems in production and familiarity with MLOps / AI Ops practices to support model deployment and monitoring.
• Automation & quality mindset experience with AI-assisted development or intelligent automation for data quality/observability.

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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