Data Governance

Localisation: Geneva, Switzerland - hybride

Activity rate: 80%-100%

The Data Governance Project Onboarding Specialist helps new projects and teams adopt the TDI Data Governance Platform in a structured, practical way. The role connects business needs with the Data Gov team methodology: identifying relevant initiatives, translating requirements into governed data models, integrating data processes into Databricks and Open Metadata, and enabling data owners and stewards to work effectively from day one.

• Identify candidate projects for onboarding, especially initiatives emerging from historical core business streams and organizational centers.
• Gather and structure business and data requirements from documents, articles, reports, workshops, and stakeholder discussions.
• Apply the Data Gov team methodology to develop data models and identify data-pyramid constraints, including reference-data requirements and integration with existing reference data.
• Use the team’s tools and standards to integrate data processes into the TDI Data Architecture, including Databricks and Open Metadata for data governance.
• Plan technical deployments and coordinate the activities, dependencies, environments, and readiness checks needed for a controlled rollout.
• Identify data owners and data stewards in each new project, clarify their responsibilities, and establish the governance operating model.
• Plan and deliver onboarding and role-based training for data owners, data stewards, and relevant project contributors.
• Document decisions, models, data constraints, governance responsibilities, and onboarding outcomes so that each project can be supported and maintained.

• Proven experience in data management, governance and analytics.
• Strong ability to gather, clarify, and prioritize requirements with business teams and technical stakeholders.
• Hands-on experience with databases (SQL, No
  
  SQL) and data warehouses / lakes
  - Snowflake, Fabric; a data catalogue or governance platform is a plus.
• Hands-on experience with an Enterprise Architecture tool
  - LeanIX would be a plus.
• Strong data modelling and analytical skills.
• Service-oriented mindset with strong problem-solving skills; business process analysis and modelling a plus.
• Fluent English and French, with the ability to facilitate workshops and deliver training in both languages.
• Good knowledge of Databricks and Python.
• Familiarity with Open Metadata, data catalogues, metadata management, reference data management, or data lineage.