About the Job:
- Technical Collaboration: Act as a bridge between Business and IT by translating business data requirements and governance policies into clear, actionable technical specifications for IT and Data Engineering teams.
- Data Lineage & Cataloging: Work alongside data architects to map end-to-end data lineage (from system-of-origin to system-of-consumption) and aid in populating the Enterprise Data Catalog.
- Tooling Oversight: Evaluate and maximize the ROI of technical data governance and data quality tools, reviewing outputs from data profiling and automated quality checks.
- Querying & Validation: Conduct lightweight data profiling and validation to independently verify data quality issues before escalating them to engineering teams.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
Required Qualifications & Experience:
- Domain Expertise: 8+ years of total experience, with at least 4 years specifically in Data Governance, Data Stewardship, or Data Quality within the Banking and Financial Services sector.
- Subject Matter Expert: In-depth understanding of banking products, processes, and regulatory reporting requirements (e.g., AML, KYC, Risk Management).
- Strategic Execution: Proven history of drafting data policies, defining Critical Data Elements (CDEs), and effectively establishing a network of data stewards.
- Communication: Exceptional stakeholder management skills, with the ability to translate complex technical constraints into business realities and vice versa.
- Certifications: Certifications such as CDMP (Certified Data Management Professional) or equivalent are highly preferred.
Technical Skills & Appreciation:
- Query Languages: Foundational ability to read and write SQL to query databases, perform basic data profiling, and validate data sets independently.
- Governance Tooling: Familiarity with industry-standard enterprise tools such as Informatica (Axon, EDC, IDQ), Collibra, or Alation.
- Data Architecture Concepts: Strong conceptual understanding of Relational Databases, Data Warehousing, Data Lakes, and Cloud infrastructure (AWS/Azure) to communicate effectively with technical architects.
- BI & Reporting: Appreciation for Business Intelligence tools (Power BI, Tableau) to design and interpret data quality dashboards.
