Senior Engineering Manager

Senior Engineering Manager – Data & AI is responsible for leading high-performing engineering teams that deliver scalable data products, AI/ML capabilities, analytics foundations, and reliable platforms across Maersk. The role combines people leadership, stakeholder partnership, product delivery, data architecture, and operational excellence to translate business priorities into secure, resilient, production-grade technology solutions. It requires strong experience in data engineering, cloud platforms, AI-assisted development, engineering governance, and end-to-end delivery from prototype to production adoption.

JL5 Senior Engineering Manager – Data & AI team

WHO WE ARE

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.

You will be accountable for building and engaging a high-performing team, shaping 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.

Key Responsibilities

Team Leadership, Engagement & Engineering Management

Stakeholder Management, Requirements & Business Partnership

Product Delivery, Prototyping & Innovation

Data Architecture, AI/ML Engineering & Platform Excellence

Cross-Functional Delivery & Architecture Governance

Operational Excellence

Our Ideal Candidate

Required Skills/Experience

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 .

CORE SKILLS

AI & Machine Learning: The field of artificial intelligence (AI) involves creating systems that can perform tasks that typically require human intelligence. Machine learning (ML) is a subset of AI that uses algorithms to learn from and make predictions based on data

Proficiency Level: Advanced

Data Product Development: The creation of products that leverage data to provide insights, predictions, or other value to users.

Proficiency Level: Advanced

Data Engineering: The practice of designing and building systems for collecting, storing, and analyzing data at scale.

Proficiency Level: Advanced

Data Architecture: The design and structure of data systems, ensuring that data is stored, managed, and utilized efficiently

Proficiency Level: Advanced

SPECIALIZED SKILLS

Cloud Computing: A field of AI that trains computers to interpret and make decisions based on visual data from the world, such as images and videos

Data Governance and Compliance: The management of data availability, usability, integrity, and security in an organization, based on internal data standards and policies. Ensuring that an organization adheres to external regulations and internal policies, managing risk, and maintaining ethical standards

Data Security: Protecting data from unauthorized access, use, disclosure, disruption, modification, or destruction.

Business Intelligence: Protecting data from unauthorized access, use, disclosure, disruption, modification, or destruction.

Customer Insights: The analysis of customer data and feedback to understand their behaviors and preferences, helping businesses make informed decisions

Cybersecurity Awareness: Understanding and implementing practices to protect systems, networks, and programs from digital attacks

Definition of Proficiency Levels:

Foundational: This is the entry level of the skill, typically expected when starting a new role or working with the skill for the first time. You rely on strong manager support, coaching, and training as you build the capability to progress to higher proficiency levels.

Proficient: This is the level at which you are considered effective in the skill. You demonstrate more than just functional competence—you begin to have a noticeable impact in your role by applying the skill consistently and meaningfully. You require only minimal support, coaching, or training to apply the skill successfully.

Advanced: This is the level where you move beyond meeting expectations to actively leading, influencing, and delivering considerable impact across the wider business. You are seen as a role model, demonstrate the skill independently, and require little to no manager support.