search Browse Jobs
Senior Engineering ManagerMaersk · 2 Locations
Maersk logo

Maersk

company page ↗

Senior Engineering Manager

🗓️ Posted 2026-09-23 2 Locations Full-time Hybrid ICT
💰 Salary Not shared 📊 Market 65,000 DKK–85,000 DKK/mo

About the Company

At Maersk, we are redefining global logistics through data, platform engineering, and AI-driven innovation. As part of this journey, we are building scalable platforms and intelligent systems that enable faster decision-making, operational efficiency, and seamless integration across the enterprise. The Position As a Senior Engineering Manager in the Data & AI team, you will lead engineering teams responsible for delivering scalable data products, AI-enabled capabilities, analytical foundations, and reliable platforms that power critical business decision-making across Maersk.

Responsibilities

  • ● g pragmatic data architecture, partnering with product and business stakeholders, and ensuring successful delivery of data, analytics, and AI/ML solutions. The role requires a hands-on, forward-looking leader who can connect business problems to technical outcomes, guide teams from quick prototypes to production-grade products, and leverage modern AI coding agents to accelerate experimentation, solution design, and engineering delivery.
  • ● Team Leadership, Engagement & Engineering Management
  • ● Build, lead, coach, and engage high-performing engineering teams across data engineering, AI/ML engineering, analytics enablement, and platform delivery
  • ● Create clarity on priorities, ownership, ways of working, delivery commitments, and engineering expectations across the team
  • ● Support resource and demand planning, capability building, knowledge sharing, and continuous development of team members
  • ● Stakeholder Management, Requirements & Business Partnership
  • ● Collaborate with product owners, business stakeholders, leadership, architecture, data science, and platform teams to understand business priorities and translate them into executable technology outcomes
  • ● Act as a trusted partner and voice of customer success by ensuring solutions address real business needs, adoption, usability, operational reliability, and measurable value
  • ● Drive clarity on requirements, trade-offs, timelines, risks, dependencies, and priorities across cross-functional stakeholders
  • ● Product Delivery, Prototyping & Innovation
  • ● Lead end-to-end delivery of data products, analytics capabilities, AI/ML solutions, dashboards, and platform capabilities from discovery through production adoption
  • ● Guide teams to quickly validate ideas through prototypes, proofs of concept, and iterative delivery before scaling validated solutions
  • ● Use modern AI coding agents and engineering automation to accelerate prototyping, solution exploration, developer productivity, and delivery effectiveness
  • ● Data Architecture, AI/ML Engineering & Platform Excellence
  • ● Shape scalable, governed, secure, and reusable data architecture across data engineering, analytics, visualization, AI/ML, and GenAI use cases
  • ● Provide technical leadership on data modelling, data pipelines, orchestration, cloud data platforms, integration patterns, and production-grade AI/ML engineering practices
  • ● Ensure solutions are horizontally scalable, resilient, observable, secure, and aligned with enterprise architecture and information security expectations Cross-Functional Delivery & Architecture Governance
  • ● Partner across Product, Analytics, Data Science, AI, Platform, Architecture, Security, and business teams to deliver pragmatic end-to-end solutions
  • ● Translate business requirements, user feedback, and problem statements into delivery roadmaps, technical direction, architectural decisions, and implementation plans
  • ● Drive informed decision-making by balancing speed, quality, resilience, scalability, cost, security, and business value