Data Management & Governance Implementation Expert📣 Job Ad

About the Role

eSense is seeking a Data Management & Governance Implementation Expert to join its team in Riyadh, Saudi Arabia. This full-time role involves supporting the design and implementation of enterprise data management, governance, and analytics solutions for clients across Saudi Arabia. The successful candidate will possess 5-10 years of experience, combining strong knowledge of data governance and regulatory compliance with hands-on technical expertise across the entire data lifecycle. This includes translating business, regulatory, and governance requirements into practical processes, controls, solution architectures, and platform configurations, while also assisting clients in improving their maturity and compliance with National Data Management Office (NDMO) requirements and the National Data Index (NDI).

Key Responsibilities

• Lead or support end-to-end delivery of data management and governance implementation projects, from assessment and requirements gathering through design, configuration, testing, deployment, and operational handover.
• Assess client data landscapes, systems, processes, governance practices, and technical capabilities, translating identified gaps into practical implementation roadmaps.
• Design and implement vendor-neutral enterprise data architectures covering ingestion, integration, storage, lakehouse/data warehouse environments, processing, transformation, orchestration, analytics, and data consumption.
• Configure and integrate data management and governance platforms and tools, including data catalogs, business glossaries, metadata repositories, data lineage, workflow management, policy enforcement, and stewardship capabilities.
• Implement data quality frameworks, encompassing data profiling, critical data element identification, quality dimensions, validation rules, scorecards, issue management workflows, root-cause analysis, and remediation tracking.
• Support the design and implementation of master data management and reference data management capabilities, including data models, golden records, matching/merging rules, hierarchies, and governance workflows.
• Develop data integration pipelines supporting batch, real-time, API-based, structured, semi-structured, and unstructured data requirements.
• Support the implementation of enterprise data warehouses, data lakes, and lakehouse architectures, including data modeling, storage layers, data marts, partitioning, retention, archiving, and performance optimization.
• Implement security and access-control requirements, such as role-based access control, data classification, encryption, audit logging, segregation of duties, and integration with identity and access management services.
• Enable business intelligence, self-service analytics, executive dashboards, operational reporting, advanced analytics, and AI-ready data environments.
• Support integration and operational alignment with relevant national data platforms where applicable, including the National Data Catalog, Government Service Bus, National Data Lake, Data Marketplace, Reference Data Platform, and Open Data Platform.
• Develop high-quality deliverables, including solution architecture documents, requirements specifications, data models, configuration documents, policies, procedures, operating manuals, test cases, traceability matrices, technical runbooks, and compliance evidence packages.
• Facilitate requirements workshops, design sessions, technical demonstrations, user acceptance testing, training, and knowledge-transfer sessions with business, data, compliance, cybersecurity, and technology stakeholders.
• Coordinate with client teams, technology vendors, implementation partners, and subject-matter experts to ensure solutions are delivered according to scope, quality, security, and regulatory requirements.
• Identify technical risks, dependencies, integration constraints, and data-related issues early, and drive required mitigation and resolution actions.

Required Qualifications and Experience

• Proven hands-on experience delivering data management and governance projects within Saudi Arabia, preferably for government entities or regulated organizations.
• Demonstrated experience implementing or configuring data governance, metadata management, data catalog, data lineage, data quality, master data, reference data, data integration, or enterprise analytics solutions.
• Good understanding of the National Data Management Office (NDMO) requirements, the National Data Index (NDI), and applicable national data management, governance, and personal data protection standards in Saudi Arabia.
• Solid understanding of modern data architectures, including data warehouses, data lakes, lakehouses, ETL/ELT pipelines, batch and streaming integration, APIs, data modeling, and analytical platforms.

Technical Skills and Frameworks

• Working knowledge of SQL, data modeling, APIs, integration patterns, and at least one scripting or programming language commonly used in data projects.
• Experience with on-premises, cloud, or hybrid data environments and familiarity with containerized and scalable platform architectures is preferred.
• Knowledge of DAMA-DMBOK, DCAM, COBIT, TOGAF, or other recognized data management and governance frameworks or relevant professional certifications is preferred.

Candidate Profile and Location

• Strong analytical, problem-solving, documentation, and stakeholder-management skills.
• Must currently be based in Saudi Arabia and be available for client-site work when required.

About eSense

eSense is a technology solutions provider committed to delivering advanced data management and governance expertise to its clients. We focus on enabling organizations to leverage their data effectively and ensure compliance with national standards. This role offers an opportunity to contribute to significant data transformation initiatives within Saudi Arabia.