Senior Engineering Manager - Data AI Platforms
Senior Engineering Manager - Data AI Platforms
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Job Description
Maersk the worlds 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 metadatadriven data platform engineered for composability governance and AIreadiness.
We are hiring a Senior Engineering Manager to lead platform engineering efforts for MIDAS designing and scaling a multitenant realtime contractfirst data platform that spans hundreds of internal systems and supports critical customer and operational use cases.
This is not just a leadership role. Its a onceinadecade opportunity to build the foundational data and AI architecture for an entire industry.
What Youll Lead and Architect
- ContractDriven Data Pipelines powered by Apache Iceberg Kafka and Airflow with CI/CD for ingestion and transformation logic
- PolicyasCode Frameworks using OPA/Rego for automated enforcement of ABAC retention masking and lineage propagation
- MultiModal 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 LLMbased copilots and inference patterns backed by realtime streaming and vectorindexed feature stores.
Scale & Complexity Youll Tackle
- 20M containers 700 vessels 100K customers across 130 countries
- $4 trillion of global GDP flows through Maersks digital backbone
- 300 business applications with heterogeneous schemas and integration models
- Crossfunctional federation involving Ops TradeLens GDA Corp TbM and more
- Missioncritical workloads: ETA predictions vessel tracking customer order visibility emissions analytics and autonomous logistics intelligence
Youll 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
- 1215 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 hightrust 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 AIdriven supply chain intelligence
ExecutiveLevel Influence work directly with VPs and the CTO org; shape the future of logistics technology
CareerDefining Impact contribute to an industrywide digital transformation with globalscale 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 CenturyOld Industry with Data
Logistics is being redefined. With over $20 trillion in goods flowing through our networks Maersks 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.
PlatformLed Not Just Analytics
MIDAS is an engineeringfirst initiative it draws from modern data mesh principles builds for scale and interoperability and focuses on governed discoverable selfservice data products that support both operational and analytical use cases.
Youll 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
- AIdriven ETA predictions
- AI agents for customer service
- ML models for fuel optimization disruption recovery and carbon footprint estimation
ExecutiveLevel Impact
This role is embedded within Tech organisations with direct exposure to VPlevel stakeholders across Platform Engineering Cybersecurity Governance Data Office and Business Platforms. Youll shape the delivery strategy and operating model for a multiyear transformation.
Ready to Build What Moves the World
If youve built platforms that engineers love unified data at scale and want to define the data AI fabric for global trade wed love to connect. This is more than a job its 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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Required Experience:
Manager
Employment Type
Full Time
