Data Analytics - Data Governance Specialist - Freelance - Cairo

About UsInfomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We've evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona)Our proprietary AI orchestratorExtensive knowledge assets combining 500,000+ delivered case studies and database subscriptionsReady to kick start your career with us?About This RoleThis role will give you the opportunity to work on high added value data governance and data quality projects, building robust data management frameworks for our clients within a growing service company.As our Data Governance Specialist, you will help clients take control of their data assets — defining policies, enforcing quality standards, managing metadata, and deploying governance tooling. You will collaborate closely with data engineers, analysts, and client stakeholders to embed governance practices across the full data lifecycle.What will you do?Design, implement, and operationalize data governance frameworks across client engagements, covering the following areas:DATA GOVERNANCE & POLICYDefine and implement data governance frameworks, policies, and standards tailored to client environmentsEstablish data ownership, stewardship models, and accountability structures across business and technical teamsDevelop and maintain data dictionaries, business glossaries, and classification taxonomiesEnsure compliance with data regulations and internal data management policies (GDPR, BCBS 239, etc.)DATA QUALITY & LINEAGEDesign and implement data quality rules, profiling routines, and monitoring dashboardsInvestigate and remediate data quality issues across structured and unstructured data sourcesMap and document end-to-end data lineage to support auditability and impact analysisDefine and track data quality KPIs and SLAs in collaboration with data ownersMETADATA & CATALOGUINGDeploy and administer data catalog and metadata management tools (e.g. Informatica, Collibra, Alation, Microsoft Purview)Enrich metadata assets with business context, ownership, sensitivity classification, and usage informationDrive adoption of the data catalog across business and technical teamsTOOLING & INTEGRATIONConfigure and operate data governance platforms, primarily Informatica (IDMC, Axon, EDC, DQ) and equivalent toolsIntegrate governance tooling with existing data pipelines, warehouses, and BI environmentsAutomate data quality checks and governance workflows within ETL/ELT pipelinesOtherProvide internal training and knowledge-sharing sessions on data governance best practicesSupport the Team Lead/Manager on client relationships, business development, and internal projectsWho are you?Education & Professional ExperienceMaster's degree in a relevant field such as Computer Science, Information Systems, Data Management, Statistics, or Applied MathematicsFull proficiency in English + 1 additional language (French, Arabic, Spanish, German...)3 to 6 years of experience in data governance, data management, or data engineering with a strong governance focusExperience working in a consulting, financial services, or multi-client environment is a plusTechnical SkillsDATA GOVERNANCE TOOLSProven hands-on experience with Informatica (IDMC / Intelligent Data Management Cloud, Axon Data Governance, Enterprise Data Catalog, Data Quality)Experience with other governance and cataloguing platforms such as Collibra, Alation, Ataccama, or Microsoft PurviewFamiliarity with data quality tools: Great Expectations, Monte Carlo, Soda, or equivalentDATA ENGINEERING & QUERYING Solid experience with SQL for data profiling, querying, and quality rule implementation across relational databases and data warehouses (Snowflake, BigQuery, Synapse, Redshift)Experience in Python for automating data quality checks, metadata extraction, and governance workflowsUnderstanding of ETL/ELT pipelines and ability to embed governance controls within them (dbt, Airflow, Informatica PowerCenter/IDMC)DATA ARCHITECTURE & PLATFORMSGood understanding of data platform architectures: data lake, lakehouse, and data warehouse environmentsFamiliarity with cloud platforms and their native governance services: Azure Purview, AWS Glue Data Catalog, Google DataplexUnderstanding of data modelling concepts and their impact on governance (dimensional modelling, data vault, etc.)STANDARDS & COMPLIANCEKnowledge of data governance frameworks and standards: DAMA-DMBOK, BCBS 239, GDPR, ISO 8000Experience defining and applying data classification schemes (sensitivity labels, PII tagging, retention policies)Exposure to master data management (MDM) concepts and tools is a plusInterpersonal SkillsAbility to engage and influence both technical teams and business stakeholders on data governance topicsStrong analytical mindset with the ability to diagnose data quality issues and translate them into actionable remediation plansGood communication skills with the ability to document governance frameworks clearly and present findings to senior audiencesDetail-oriented, rigorous, and comfortable working across multiple client contexts simultaneouslyWhat We OfferA competitive salaryA great working environmentA steep learning curve with interesting and diverse topics to work onA healthy work-life balanceHealth insurance benefitsEqual opportunity employerInfomineo is an equal opportunity employer, we prohibit any sort of discrimination (based on color, race, sex, sexual orientation, religion, national origin or any other attributes) in all aspects of employment (recruiting, hiring, wages and salary, promotions, benefits, training and job termination).If you believe you match our requirements and values, we would be happy to hear from you. 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