Data Steward
At a glance
Mid-level Data Architecture & Governance role at Damen. Galati · full-time.
Pay not stated Data Architecture & Governance salary
dataroles summary, based on the employer's posting.
What you'll do
- Create checks and run periodic audits so data in your assigned areas is reliable for its intended use
- Examine data assets for gaps and errors, and verify records across the named business information systems
- Set and maintain data definitions, naming rules, codes, reference data and metadata
- Trace database errors to their causes, coordinate fixes through closure and report progress against agreed measures
- Teach users data standards and check migrated records before projects go live
What you bring
- At least three years in manufacturing, shipbuilding or another listed operational or data function, using large datasets and business systems
- A relevant bachelor's or master's degree, or a technical engineering background paired with data management experience
- Familiarity with data quality approaches and Microsoft Purview, alongside grounding in governance, data modeling, ERP systems and basic SQL
- Strong spoken and written English, plus the ability to find data issues and translate business needs into rules
Who this fits
This mid-level role suits someone comfortable working across departments, explaining data standards and following quality issues through to resolution. You’ll report to the BI Manager and collaborate with departments and the Group Data Governance community. The role is based in Galati, Romania.
From the employer
We offer you an Ocean of Possibilities. Join our family.
About the Role
We are looking for a highly analytical and detail-oriented Data Steward to join our Business Intelligence team. In this role, you will be responsible for ensuring the accuracy, completeness, consistency, validity, and accessibility of data across assigned business domains.
As a key contributor to the organization's Data Governance framework, you will help establish and maintain data standards, monitor data quality, and support digital transformation initiatives by ensuring that business-critical information is reliable and fit for purpose. You will collaborate closely with stakeholders across all departments, as well as with the Group Data Governance community, to drive continuous improvement in data quality and management practices.
This position reports to the BI Manager
Key Responsibilities
- Developing data quality rules and conducting periodic audits to ensure that data is fit for its intended purpose.
- Implementing and monitoring data governance processes and policies within the assigned areas.
- Performing data profiling and analysis activities to assess the quality, completeness, and accuracy of data assets.
- Verifying the accuracy, completeness, and timeliness of data in the information systems used, including SAP, MES, Primavera, R-Drive, and Data Lake.
- Defining and maintaining data standards, including naming conventions, codes, reference data, business definitions, and metadata.
- Identifying errors in databases, analysing their root causes, and following up on their correction through to closure.
- Configuring and monitoring data quality rules in Microsoft Purview.
- Periodically reporting on data quality status against agreed KPIs and service levels and formulating improvement proposals.
- Providing support to DSGa departments on data-related issues.
- Training users on the proper use of data and applicable data standards.
- Participating in IT projects that modify data structures and validating data migrations prior to go-live.
- Identifying manual processes that can be automated.
- Ensuring compliance with data confidentiality, security, and archiving requirements.
Candidate Profile
- Bachelor’s or Master’s degree in Computer Science, Data Analytics, Software Engineering, Information Technology, Business Informatics, or a related field. Candidates with a technical engineering background (Shipbuilding, Industrial/Mechanical Engineering, Automation) and relevant experience in data management are also encouraged to apply.
- Knowledge of Data Quality frameworks and Microsoft Purview. Professional certifications such as CDMP (DAMA), Microsoft PL-300, DP-900, SC-401, or Lean Six Sigma are considered an asset.
- Strong understanding of Data Governance and Data Quality principles, data modeling concepts, master data structures, ERP systems (preferably SAP), advanced Microsoft Excel, basic SQL, Power BI, and data privacy regulations. Familiarity with Microsoft Purview, Power Query, Power Automate, Primavera P6, 3DEXPERIENCE, Workday, Data Lineage, Master Data Management, or Data Lake architectures represents an advantage.
- Minimum 3 years of experience in industrial manufacturing, shipbuilding, production planning, supply chain, quality management, business analysis, or data administration, including work with large operational datasets and business systems. Experience with ERP implementations, data quality initiatives, digitalization projects, or Data Steward/Business Analyst roles is highly valued.
- Ability to analyze large datasets, identify data quality issues and root causes, translate business requirements into data rules and standards, maintain clear documentation, and collaborate effectively across multiple business functions. Experience facilitating workshops, delivering user training, and presenting findings to stakeholders is a plus.
- Ability to communicate confidently in English, both orally and in writing.
- Analytical, detail-oriented, and results-driven professional with strong communication, stakeholder management, influencing, negotiation, and problem-solving skills. Demonstrates integrity, accountability, resilience to change, and the ability to work effectively in a dynamic and evolving environment while promoting data quality and continuous improvement.
- Eligible to obtain access rights to company information systems and comply with company health, safety, security, confidentiality, and data protection requirements.
What We Offer
- The opportunity to contribute to data governance and digital transformation initiatives within a complex business environment.
- A cross-functional role with exposure to business processes, IT systems, data quality, and continuous improvement.
- The opportunity to work with modern data management and analytics technologies.
- A collaborative environment where your expertise can directly contribute to improving the quality and reliability of business data.
Recruiter:
Email:
teodora.grigore@damen.comPlease apply through the Apply Button. Due to GDPR reasons we cannot accept applications by email.
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