About us
Infomineo 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 three 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 three pillars of excellence:
- 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
- Our proprietary AI orchestrator.
- Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
Ready to kick start your career with us?
About this role
This 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 & policy
- Define and implement data governance frameworks, policies, and standards tailored to client environments.
- Establish data ownership, stewardship models, and accountability structures across business and technical teams.
- Develop and maintain data dictionaries, business glossaries, and classification taxonomies.
- Ensure compliance with data regulations and internal data management policies (GDPR, BCBS 239, etc.).
Data quality & lineage
- Design and implement data quality rules, profiling routines, and monitoring dashboards.
- Investigate and remediate data quality issues across structured and unstructured data sources.
- Map and document end-to-end data lineage to support auditability and impact analysis.
- Define and track data quality KPIs and SLAs in collaboration with data owners.
Metadata & cataloguing
- Deploy 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 information.
- Drive adoption of the data catalog across business and technical teams.
Tooling & integration
- Configure and operate data governance platforms, primarily Informatica (IDMC, Axon, EDC, DQ) and equivalent tools.
- Integrate governance tooling with existing data pipelines, warehouses, and BI environments.
- Automate data quality checks and governance workflows within ETL/ELT pipelines.
Other
- Provide internal training and knowledge-sharing sessions on data governance best practices.
- Support the Team Lead/Manager on client relationships, business development, and internal projects.
Who are you?
Education & professional experience
- Master’s degree in a relevant field such as Computer Science, Information Systems, Data Management, Statistics, or Applied Mathematics.
- Full proficiency in English plus one additional language (French, Arabic, Spanish, German, etc.).
- 3 to 6 years of experience in data governance, data management, or data engineering with a strong governance focus.
- Experience working in a consulting, financial services, or multi-client environment is a plus.
Technical skills
Data governance tools
- Proven 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 Purview.
- Familiarity with data quality tools: Great Expectations, Monte Carlo, Soda, or equivalent.
Data 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 workflows.
- Understanding of ETL/ELT pipelines and ability to embed governance controls within them (dbt, Airflow, Informatica PowerCenter/IDMC).
Data architecture & platforms
- Good understanding of data platform architectures: data lake, lakehouse, and data warehouse environments.
- Familiarity with cloud platforms and their native governance services: Azure Purview, AWS Glue Data Catalog, Google Dataplex.
- Understanding of data modelling concepts and their impact on governance (dimensional modelling, data vault, etc.).
Standards & compliance
- Knowledge of data governance frameworks and standards: DAMA-DMBOK, BCBS 239, GDPR, ISO 8000.
- Experience defining and applying data classification schemes (sensitivity labels, PII tagging, retention policies).
- Exposure to master data management (MDM) concepts and tools is a plus.
Interpersonal skills
- Ability to engage and influence both technical teams and business stakeholders on data governance topics.
- Strong analytical mindset with the ability to diagnose data quality issues and translate them into actionable remediation plans.
- Good communication skills with the ability to document governance frameworks clearly and present findings to senior audiences.
- Detail-oriented, rigorous, and comfortable working across multiple client contexts simultaneously.
What we offer
- A competitive salary.
- A great working environment.
- A steep learning curve with interesting and diverse topics to work on.
- A healthy work-life balance.
- Health insurance benefits.
Equal opportunity employer
Infomineo 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.