Domain Preferred: Banking
Location: Riyadh, Saudi Arabia (Onsite)
Experience Required: 5 Years
Responsibilities
Developing and implementing data governance strategies, frameworks, and policies to
ensure data quality, security, and compliance
Involves creating and maintaining data architecture, establishing data quality and
lineage standards, collaborating with stakeholders, and ensuring adherence to
regulations like GDPR.
This role designs the technical infrastructure that supports data governance initiatives,
from data modeling to the selection of governance tools.
Key responsibilities
Strategy and framework development: Create and implement a comprehensive data
governance strategy and framework aligned with business objectives and regulatory
requirements.
Policy and standards enforcement: Define, document, and enforce data governance
policies, procedures, and standards for data quality, security, access, and lineage.
Data architecture design: Design and maintain the enterprise data architecture, including
data models, data lakes, and data warehouses, ensuring it supports governance
requirements.
Stakeholder collaboration: Work with business and IT stakeholders, data owners, and
data stewards to ensure data governance is embedded in processes and solutions.
Compliance and security: Ensure data architecture and policies comply with relevant
laws and regulations, and implement security measures to protect data.
Tool evaluation and implementation: Assess, select, and guide the implementation of
data governance tools and technologies, such as data catalogs and workflow
management systems.
Data quality and lineage: Establish and monitor data quality metrics and develop data
lineage programs to ensure data accuracy, completeness, and traceability.
Change management and education: Drive awareness and adoption of data governance
principles through training, workshops, and communication strategies.
Required skills and qualifications
Deep understanding of data architecture, data modeling, and data management
principles.
Experience with data governance concepts like data quality, metadata management, and
master data management.
Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and data-related technologies.
Knowledge of data security and privacy regulations (e.g., GDPR).
Excellent communication, collaboration, and leadership skills.
Experience with data governance tools is preferred.