Senior Data Modelling & Quality SME

Halian; Abu Dhabi; On-site; AED 300,000 - 600,000; Full time

Job summary

Halian is seeking a Senior Technical SME to act as a trusted advisor to project leadership across Data Quality, Data Readiness, and Data Modelling. The role shapes technical positions, challenges outputs, and supports client discussions with clear, defensible recommendations.

Work involves senior-level review of data models, profiling, CDE design, DQ rules, and remediation strategies, ensuring alignment with business requirements and data architecture.

Qualifications

• Significant experience in Data Quality, Data Governance, Data Readiness, and Data Modelling.
• Strong hands-on expertise in Conceptual, Logical, and Physical Data Models.
• Excellent stakeholder management and communication skills.

Responsibilities

• Advise project leadership on Data Quality, Data Readiness, and Data Modelling topics ahead of client meetings.
• Provide expert guidance on data profiling, CDE identification, DQ dimensions, rule design, scoring methodologies, thresholds, exceptions, and remediation.
• Provide senior-level review of Conceptual, Logical, and Physical Data Models.
• Assess consistency across data models, source systems, CDE definitions, DQ rules, and target data architecture.
• Challenge the team’s methodology, assumptions, and conclusions before client presentations.
• Help leadership formulate clear, technically sound positions for client discussions.
• Connect profiling results, data models, CDEs, DQ rules, and remediation to show holistic Data Readiness.
• Identify systemic data issues with broader implications across workstreams.
• Participate in critical client meetings, workshops, and technical discussions.
• Provide rapid expert assessment during client challenges or escalations.

Skills

Data Quality

Data Governance

Data Modelling

Data Readiness

Stakeholder Management

Executive Communication

Job description

Halian is seeking a Senior Technical SME to act as a trusted advisor to project leadership across Data Quality, Data Readiness, and Data Modelling. The role shapes technical positions, challenges outputs, and supports client discussions with clear, defensible recommendations.

Work involves senior-level review of data models, profiling, CDE design, DQ rules, and remediation strategies, ensuring alignment with business requirements and data architecture.