Data Governance Senior Specialist H/F CMA CGM

The Data Governance Senior Specialist plays a key role in the group's Data Transformation journey. He/she will be responsible for the structuration & deployment of the Data Governance Framework for a list of defined Data domains based on validated Strategic Priorities.

WHAT ARE YOU GOING TO DO?

- Methodology & Standards Deployment

- Enrich and improve Data Governance Framework (Operating model, deliverables, Tools: data catalog, quality tool, ...)
- Understand the current pain points and leverage on her/his previous experience to provide guidance & optimize ways of working.
- Ensure alignment of practices with Group CDO and across business domains (Lines & Pricing, Sales & Customer Care, Lines Operations & Cargo Flow)

- Project & Program Management
- Ensure the proper roll out the Data Governance Framework (data requirement, data assessment, data readiness status...)
- Lead Shipping Lines transversal data initiatives and ensure alignment with strategic priorities (KPI calculation harmonization, golden source validation, referential studies...)
- Track and report on data readiness dashboards (definition, process, quality).
- Identify gaps and escalate risks to leadership.

- Change Management & Adoption
- Collaborate with business to implement Data Governance at scale
- Act as a champion of data culture, enabling teams to understand the value of data and use it effectively.
- Organize training, workshops, and communication to increase maturity.

WHO ARE WE LOOKING FOR?

- Bachelor's or master's degree in data science, Computer Science, or a related field
- Proven experience in project management (PMO, agile methods, or transformation programs) with ability to translate business needs into data requirements (without being a technical delivery role).
- Deep expertise of data governance, data management, data visualization, big data technologies, analytics and AI technologies.
- Excellent change management skills, able to drive adoption across non-technical stakeholders.
- Excellent leadership, communication and problem-solving abilities
- Experience with cloud-based data solutions (e.g., AWS, Google Cloud, Snowflake)
- Ability to work collaboratively with diverse teams and stakeholders.

SUCCESS CRITERIA

- Methodology and standards consistently adopted across business domains.
- Increased data readiness measurable through dashboards.
- Business teams are autonomous in applying data practices to their use cases.
- Strong alignment between strategic data priorities and operational adoption.

Come along on CMA CGM's adventure !