Operational Excellence Manager

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Operational Excellence Manager at DSV working with partners on data integration. Leading continuous improvement of data quality and process automation in air and sea logistics.

Posted 4/15/2026full-timeRemote • 🇨🇦 CanadaSeniorLead💰 CA$93,909 per yearWebsite

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

The Partner Integration Team under Cross-Product Operational Excellence works on behalf of Air & Sea to define, maintain, and -jointly with IT- implement the standards for exchanging data with business partners with the objective of driving process automation and data quality in operations.
Leverage the global operational excellence organization in Air & Sea; the team will work with Business Partners to continuously improve data availability, timeliness, and accuracy through automated interfaces.
In collaboration with IT and in close alignment with Air & Sea Products, define and maintain global standards for data integration with carriers and other external partners on behalf of Air & Sea. This includes semantic models and associated mappings as well as different integration patterns (e.g., asynchronous/message-based vs synchronous/API based, push vs pull).
Provide the logical mappings required for specific carrier integrations.
Define and manage the ongoing maintenance of internal mapping tables and related structures required to enrich incoming partner data for consumption by internal processes and systems.
Resolve data quality and performance issues (completeness, timeliness, correctness) for data exchanged via global interfaces; work with the global Operational Excellence organization to continuously improve quality and performance of data exchanged via global interfaces at a local level.
Monitor and drive utilization of electronic data exchange with Air- and Sea-Carrier in the organization to enable productivity gains.
Participate in and contribute to Cross-functional Collaboration Teams as required.

Requirements

What you’ll need

Master’s degree in related technical / business areas or equivalent work experience
7 years industry experience
Good command, both verbal and written, English skills.
Good communication skills as the role requires frequent communication to various directions and all management levels
Ability to create collaborative engagements and active listening
Strong analytical and conceptual capabilities
Both a team builder and a team-player
Understanding of data lake / lakehouse architectures and structured data processing (e.g., Delta Lake concepts)
Experience with integration patterns in distributed systems (API-based integrations, event-driven architecture, message queues, batch vs. real-time processing)
Knowledge of data modeling concepts (semantic models, canonical data models, mapping structures, enrichment logic)
Practical experience with structured data formats such as JSON, XML, EDI, CSV and API payloads
Understanding of data quality frameworks, monitoring approaches, and data validation techniques
Familiarity with CI/CD principles, DevOps practices, and version-controlled deployment in data environments
Ability to translate business integration requirements into scalable technical solutions in collaboration with IT teams.

Benefits

Comp & perks

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Hard Skills & Tools

data integrationdata qualitydata modelingstructured data processingAPI-based integrationsevent-driven architecturemessage queuesJSONXMLCSV

Soft Skills

communication skillscollaborative engagementsactive listeninganalytical capabilitiesconceptual capabilitiesteam buildingteam player

Certifications

Master’s degree