Job Description
Roles & Responsibilities
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 French and English 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.