Data Steward - Asset Management
Data Steward - Asset Management
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Job Description
Data Steward Asset Management
Location:Spain (remotely role based in Spain).
About APM Terminals
At APM Terminals a global leader in port and terminal operations we enable global trade and drive sustainable growth. As part of the A.P. Moller-Maersk Group we connect economies and communities worldwide. Our success is driven by a strong commitment to LEAN methodologies embedding continuous improvement into every aspect of our operations. Join us and be part of a team that values excellence collaboration and innovation.
About the Role
As aData Stewardwithin the Global Asset Management function you will be the guardian of data quality consistency and governance across APM Terminals. You will represent process and data owners in both business-as-usual and project contexts ensuring that data is accurate complete and aligned with global standards.
You will collaborate closely with Business Process Experts Data Governance and Master Data Management teams to define data flows enforce quality standards and support strategic initiatives through high-quality data.
Key Responsibilities
Data Domain Management
- Act as the representative of data owners across multiple locations.
- Define and enforce global data standards and business rules.
- Maintain and update master and reference data.
- Document data definitions and business rules for effective enterprise data management.
Data Quality Assurance
- Monitor the full lifecycle of master and reference datasets.
- Validate and approve business terms and data definitions.
- Identify and resolve data anomalies and discrepancies.
- Lead cross-functional discussions to improve data quality.
Business-as-Usual (BAU) Activities
- Manage maintenance plans and ServiceNow (SNOW) tickets.
- Continuously improve SNOW forms and data processes.
- Ensure compliance with global and regional regulations.
- Represent data domain issues in governance meetings.
Projects & Implementations
- Contribute to strategic initiatives and system improvements.
- Deliver data templates for new implementations.
Team Enablement
- Drive data maturity across execution teams.
- Train users on data requisition processes and standards.
Qualifications & Skills
- 3 years of experience with master data in a relevant functional area.
- Background in engineering (mechanical or electrical preferred).
- Strong data analytics skills (Excel SQL Visual Basic etc.).
- Familiarity with IFS CMMS module is a plus.
- Excellent stakeholder management and communication skills.
- Proactive independent and highly disciplined.
- Fluent in English; additional languages (e.g. Spanish Arabic) are a plus.
Lean Culture
As part of the A.P. Moller-Maersk Group we connect economies and communities worldwide. Our success is driven by a strong commitment to LEAN methodologies embedding continuous improvement into every aspect of our operations.
Were looking for - Lean-minded: we are looking for someone who brings a strong mindset of continuous improvement someone who is naturally curious committed to solving problems at the root and driven to make things better every day.
Join us and be part of a team that values excellence collaboration and innovation.
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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 .
Employment Type
Full-Time
