Technical
• Data governance and data management frameworks .Data ownership and stewardship models
• Business glossary and metadata management. Data quality assessment and profiling
• Data quality rule and control definition. SQL and data querying
• Data validation and reconciliation. Exception and root cause analysis
• Data classification and lifecycle management. Data lineage and impact analysis
• Data standards and business rules. Data catalog and governance platforms
• Data quality and profiling tools. Data issue and remediation management
• Governance reporting and data quality scorecards
• Business and data requirements analysis
• Data management documentation and deliverable development
Behavioral
• Analytical and structured thinker. Strong attention to detail
• Evidence-driven and quality-conscious
• Curious and investigative. Clear and confident communicator
• Strong stakeholder engagement skills
• Able to facilitate discussions across business and technology teams
• Comfortable working with incomplete, inconsistent, or evolving information
• Able to organize complex information into practical and understandable outputs
• Proactive in identifying gaps and following issues through to resolution
• Able to manage multiple activities and priorities
• Collaborative while capable of working independently. Strong documentation discipline
• Client-focused and professional
Support the design and implementation of data management frameworks, operating models, policies, standards, procedures, and controls aligned with client requirements and applicable organizational or regulatory expectations.
Assess existing data management practices and identify gaps related to data ownership, stewardship, definitions, metadata, data quality, standards, controls, processes, and governance adoption.
Define and maintain data governance structures, including data domains, data owners, data stewards, responsibilities, governance forums, escalation paths, and supporting governance documentation.
Develop and maintain business glossaries, data definitions, metadata, data dictionaries, and related governance information in collaboration with business and technical stakeholders.
Perform data profiling and data quality analysis to identify completeness, validity, consistency, uniqueness, integrity, accuracy, timeliness, conformity, and other relevant data issues.
Translate business expectations into measurable data rules and controls, including data quality rules, validation logic, thresholds, acceptance criteria, and monitoring requirements.
Investigate data issues and exceptions using data evidence, business rules, process knowledge, source-system behavior, transformation logic, and stakeholder input.
Document and manage data issues through their lifecycle, including issue description, evidence, affected data, ownership, business impact, root cause information, corrective actions, status, and closure evidence.
Work with data owners, stewards, business teams, and technology teams to define practical remediation actions and follow identified issues through validation and closure.
Support the implementation and use of data governance, catalog, metadata, and data quality platforms, including configuration requirements, metadata population, rule implementation, workflow requirements, testing, and user adoption.
Support data classification, lineage, lifecycle, reference data, and master data activities where required as part of broader data management engagements.
Facilitate stakeholder interviews, workshops, working groups, and validation sessions to gather requirements, resolve data management questions, confirm ownership, validate definitions, and agree data controls.
Prepare data management deliverables and client-facing materials, including assessment reports, governance documentation, data quality findings, issue registers, dashboards, scorecards, presentations, decision logs, and implementation plans.
Monitor data governance and data quality activities through defined metrics and reporting, helping stakeholders understand progress, open gaps, quality trends, unresolved issues, and required actions.
Support integration of data management requirements into data migration, analytics, reporting, data platform, AI, and digital transformation initiatives so that governance and quality requirements are considered throughout delivery rather than addressed separately.
Review data management outputs for accuracy, consistency, completeness, and usability before submission to clients or project leadership.
Coordinate effectively across business, data, technology, risk, compliance, privacy, and project teams to ensure data management requirements are understood and implemented consistently.
Support knowledge transfer and capability development through practical guidance, documentation, workshops, and coaching for client stakeholders and junior team members.
Maintain clear and reusable project documentation, ensuring that agreed definitions, decisions, rules, ownership information, issues, controls, and supporting evidence remain current and traceable.
Contribute to continuous improvement of malomatia's Data Management practice by supporting development of reusable methods, templates, accelerators, tools, reference materials, and delivery approaches. Perform other related duties as assigned.
Bachelor's degree in Information Systems, Computer Science, Management Information Systems, Information Management, Data Analytics, Statistics, Business Administration, Engineering, Economics, or a related discipline.
Preferred
• DAMA CDMP Associate or Practitioner
• Informatica Data Quality / IDMC certification
• Microsoft, AWS, Google Cloud, Snowflake, Databricks, or equivalent data platform certification
• SQL, analytics, BI, or data engineering certification
• Business analysis or analytics certification
Arabic and English are mandatory.
4+ years of relevant experience in data management, data governance, data quality, business analysis, data analysis, metadata management, data migration, data transformation, or related consulting and delivery roles.
Candidates should demonstrate practical experience working with both business and technical stakeholders to understand data requirements, analyze data issues, document governance requirements, and support implementation of data management controls.
• Strong understanding of data management principles covering governance, quality, metadata, ownership, stewardship, standards, and controls
• Ability to translate business requirements and data problems into practical data management requirements, rules, and actions
• Experience defining and maintaining business terms, data definitions, data ownership, stewardship responsibilities, data domains, and metadata
• Practical understanding of data quality dimensions including completeness, validity, consistency, uniqueness, integrity, accuracy, timeliness, and conformity
• Ability to define, document, and validate data quality rules, thresholds, controls, and acceptance criteria
• Hands-on capability in SQL, data profiling, querying, validation, reconciliation, and exception analysis
• Ability to investigate data issues using business context, data evidence, system behavior, transformation logic, and process knowledge
• Experience developing and maintaining data management policies, standards, procedures, guidelines, registers, and supporting documentation
• Understanding of data lineage, classification, lifecycle, reference data, master data, and data control concepts
• Ability to facilitate workshops, interviews, working sessions, and validation discussions with business and technical stakeholders
• Strong capability in preparing structured analysis, presentations, reports, issue registers, dashboards, and stakeholder materials
• Working knowledge of data catalogs, metadata platforms, data quality tools, analytics tools, and modern data platforms
• Strong Excel capability and working knowledge of PowerPoint, Word, SharePoint, Confluence, Jira, or equivalent collaboration tools
• Ability to communicate technical and data-related findings clearly to business stakeholders
About Malomatia
malomatia is a leading Qatar-based IT services and solutions provider, bringing together top Qatari and international talent to deliver innovative, end-to-end technology solutions that empower clients to achieve their strategic goals.
Our mission
Empowering Qatar’s businesses and governments to leap into the digital future with agile, knowledge-driven solutions.
Our vision
To become Qatar’s trusted knowledge partner in digital transformation, disrupting industries, shaping the future, and building a world-class tech ecosystem.
Driving change that makes a real impact
Since 2008, malomatia has been driving Qatar’s digital transformation through innovative, ISO-certified IT solutions. With expertise across key public and private sectors, we empower the nation’s vision with advanced services in cloud, cybersecurity, AI, and contact center excellence, elevating the role of technology in shaping Qatar’s sustainable future.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Malomatia is a leading IT solutions provider in Qatar, offering a wide range of services including software development, IT consulting, and digital transformation.