Senior Engineering Manager - Data & AI Platforms

Maersk, the world’s largest integrated logistics company, is transforming how goods move across continents - and at the heart of that shift is data infrastructure. We are building MIDAS, a modern, federated, metadata-driven data platform engineered for composability, governance, and AI-readiness.

We are hiring a Senior Engineering Manager to lead platform engineering efforts for MIDAS - designing and scaling a multi-tenant, real-time, contract-first data platform that spans hundreds of internal systems and supports critical customer and operational use cases.

This is not just a leadership role. It’s a once-in-a-decade opportunity to build the foundational data and AI architecture for an entire industry.

🏗 What You’ll Lead and Architect

• Contract-Driven Data Pipelines powered by Apache Iceberg, Kafka, and Airflow with CI/CD for ingestion and transformation logic

• Policy-as-Code Frameworks using OPA/Rego for automated enforcement of ABAC, retention, masking, and lineage propagation

• Multi-Modal Metadata Plane integrating OpenMetadata or DataHub for discoverability, glossary, certification, and observability

• Data Mesh Enablement for 300+ domain teams through onboarding blueprints, QuickStart DAGs, SLOs, and governance scaffolds

• AI/ML Infrastructure Foundation – feature store integration, model monitoring hooks, ML lineage tracking, and model artifact versioning

• Scalable Runtime Architecture supporting containerized deployments, tenant isolation, RBAC, and declarative ownership models

You will also define the engineering strategy for GenAI enablement, with LLM-based copilots and inference patterns backed by real-time streaming and vector-indexed feature stores.

🌍 Scale & Complexity You’ll Tackle

• 20M+ containers, 700+ vessels, 100K+ customers across 130+ countries

• $4 trillion of global GDP flows through Maersk's digital backbone

• 300+ business applications with heterogeneous schemas and integration models

• Cross-functional federation involving Ops, TradeLens, GDA, Corp, TbM, and more

• Mission-critical workloads: ETA predictions, vessel tracking, customer order visibility, emissions analytics, and autonomous logistics intelligence

🤝 You’ll Work With

• Engineering Leaders across Platform, Observability, AI/ML, Cybersecurity

• Data Product Owners, Principal Architects, SteerCo Governance SMEs

• Executive sponsors including VP of Platform Engineering, CTO, and CDO orgs

• Teams distributed across EU, US, and India, with strong product collaboration

🧠 Your Background

• 12–15 years in engineering, with 5+ leading platform or data infra teams at scale

• Proven architecture and delivery of internal data platforms, preferably supporting both batch + streaming

• Deep experience in data governance, contract testing, and schema evolution workflows

• Familiarity with tools like Iceberg, Delta, OpenMetadata, Kafka, Spark, MLflow, Feast, Airflow, dbt, or Dagster

• Built or scaled ML platform components (e.g., feature stores, training pipelines, model registries) a major plus

• Strong contributor to high-trust engineering culture and operational rigor (metrics, SLOs, RFCs, architecture councils)

🚀 What This Role Offers

✅ Greenfield Engineering – define and build the foundational data platform with autonomy and architectural freedom
✅ AI/ML Future Scope – own the technical ramp toward scalable, governed, AI-driven supply chain intelligence
✅ Executive-Level Influence – work directly with VPs and the CTO org; shape the future of logistics technology
✅ Career-Defining Impact – contribute to an industry-wide digital transformation with global-scale visibility and outcomes
✅ Global Mission with Purpose – help decarbonize and optimize global trade through data and systems excellence

🧱 Why This Role is a Rare Opportunity

✅ Redefine a Century-Old Industry with Data
Logistics is being redefined. With over $20 trillion in goods flowing through our networks, Maersk's transformation is a generational shift - and data is at the heart of it. Your work will impact how ships are routed, containers are tracked, emissions are reduced, and customers experience the global supply chain.

✅ Platform-Led Execution, Not Just Analytics
MIDAS is an engineering-first initiative - it draws from modern data mesh principles, builds for scale and interoperability, and focuses on governed, discoverable, self-service data products that support both operational and analytical use cases.

✅ You’ll Own the Foundation for AI at Maersk
AI is a strategic focus. Your team will lay the foundation to support use cases like:

• LLM copilots for internal operations

• AI-driven ETA predictions

• AI agents for customer service

• ML models for fuel optimization, disruption recovery, and carbon footprint estimation

✅ Executive-Level Impact
This role is embedded within Tech organisations, with direct exposure to VP-level stakeholders across Platform Engineering, Cybersecurity, Governance, Data Office, and Business Platforms. You’ll shape the delivery strategy and operating model for a multi-year transformation.

💬 Ready to Build What Moves the World?

If you’ve built platforms that engineers love, unified data at scale, and want to define the data + AI fabric for global trade, we’d love to connect. This is more than a job - it’s your opportunity to shape how the world moves.

Get in touch via our executive hiring team, or refer someone who should be here.

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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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.