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• 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.
• Master’s degree in a relevant field such as Computer Science, Information Systems, Data Management, Statistics, or Applied Mathematics. • Full 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 focus. • Experience working in a consulting, financial services, or multi-client environment is a plus. • 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. • 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). • 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.). • 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. • 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.
• Health insurance benefits
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Data Analyst transforming large datasets into actionable insights at Octopus by RTG. Collaborating with cross-functional teams to drive consumer engagement and business growth.