Senior Engineering Manager - Data & AI Platforms

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
.

• 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 Open Metadata or Data Hub for discoverability, glossary, certification, and observability
• Data Mesh Enablement for 300+ domain teams through onboarding blueprints, Quick Start 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.

• 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, Trade Lens, GDA, Corp, TbM, and more
• Mission-critical workloads: ETA predictions, vessel tracking, customer order visibility, emissions analytics, and autonomous logistics intelligence

• Engineering Leaders across Platform, Observability, AI/ML, Cybersecurity
• Data Product Owners, Principal Architects, Steer Co Governance SMEs
• Executive sponsors including VP of Platform Engineering, CTO, and CDO orgs
• Teams distributed across EU, US, and India, with strong product collaboration

• 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, Open Metadata, Kafka, Spark, MLflow, Feast, Airflow, dbt, or Dagster
• Built or scaled ML platform components (e.g., feature stores, training pipelines, model registries) – major plus
• Strong contributor to high-trust engineering culture and operational rigor (metrics, SLOs, RFCs, architecture councils)

• 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

• 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…