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Senior Engineering Manager
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ICT
💰 Salary Not shared
📊 Market 65,000 DKK–85,000 DKK/mo (780,000 DKK–1,020,000 DKK/yr)
About the Company
At Maersk, we are building enterprise-scale data and AI platforms to power intelligent, integrated supply chain solutions. Our ambition is to enable real-time visibility, AI-driven automation, and seamless data access across the business through a unified platform approach. We are looking for a Senior Engineering Manager to join us in this journey. As a Senior Engineering Manager for AI & Data Platform, you will lead one or more engineering teams responsible for delivering scalable data platforms and AI-enabled capabilities. You will drive execution across data engineering, platform development, and agentic AI enablement, ensuring solutions are aligned to enterprise strategy and deliver measurable business outcomes. The role is accountable for delivery, engineering quality, team capability, and platform reliability rather than purely strategy definition.
Responsibilities
- ● AI & Data Platform Delivery
- ● Lead delivery of data platforms, data products, and AI-enabled applications supporting enterprise use cases
- ● Enable agentic AI adoption, ensuring data pipelines and platforms support AI-driven workflows and decisioning
- ● Drive development of integrated data foundations to support end-to-end visibility across systems 2. Data & Analytics Enablement
- ● Enable democratised data access through governed, queryable data layers (decoupled from operational systems)
- ● Drive self-service reporting and dashboards, reducing reliance on central teams
- ● Ensure high-quality, reliable, and secure data foundations for analytics and AI 3. Platform Engineering & Architecture Alignment
- ● Ensure alignment with enterprise architecture, platform, and cloud strategies
- ● Drive adoption of reusable platform components and engineering standards
- ● Support integration across SAP and non-SAP ecosystems 4. Engineering Leadership & Team Delivery
- ● Lead and develop high-performing engineering teams across data, platform, and AI domains
- ● Own delivery outcomes, quality standards, and engineering practices within teams
- ● Drive Agile execution, prioritization, and alignment with product and business stakeholders 5. Operational Excellence & Scalability
- ● Ensure solutions are designed for scalability, reliability, and performance at global scale
- ● Drive observability, automation, and DevOps practices across platforms
- ● Establish governance for platform performance, availability, and cost optimization 6. Cost & Efficiency Focus
- ● Optimize platform cost through efficient architecture, cloud usage, and tooling decisions
- ● Drive adoption of shared platforms and reusable services to reduce duplication
- ● Partner with stakeholders to balance cost, speed, and quality in delivery 7. Cross-Functional Collaboration
- ● Collaborate across Product, SAP, Infrastructure, and Data teams beyond direct reporting lines
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