Maersk
From Maersk's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
We are looking for a Senior Engineering Manager to join us in this journey.
WHO WE ARE
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.
1. 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
Influence decisions impacting enterprise data and AI platforms
Drive alignment across stakeholders with competing priorities
You are a strategic and execution-focused leader who has successfully driven large-scale platform transformations in complex enterprise environments.
Strong experience leading engineering teams in data platforms, analytics, or AI domains
Proven track record delivering scalable data and platform solutions in enterprise environments
Exposure to AI/ML or agentic AI–enabled use cases
Strong understanding of data engineering, cloud platforms, and distributed systems
Demonstrated ability to drive delivery across cross-functional teams
Strong ownership mindset with focus on outcomes, reliability, and cost
MS or BS in a Computer Science or a science/engineering discipline.
18+ years of experience in technology leadership roles
Experience leading teams as Engineering Manager / Senior Engineering Manager / Director
Strong experience with data platforms, pipelines, and analytics ecosystems
Experience with cloud platforms (Azure preferred) and modern DevOps practices
Understanding of AI/ML platforms and data requirements for AI use cases
Strong stakeholder management and execution leadership
#LI-SS1
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.
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.
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