- Company Name
- GRAND EST MOBILITES
- Job Title
- « Business Data Expert Pilotage des données ferroviaires (H/F)
- Job Description
-
Job Title: Business Data Expert – Rail Data Management (H/F)
Role Summary:
Lead the audit, structuration, and quality assurance of railway data while acting as the technical & functional data reference for the Integrated Mobility System (SIMR) deployment and railway tenders. Ensure data integrity, develop automation, and define data governance to support operational performance and future interoperability.
Expectations:
- Senior‑level experience (5–10 years) in data exploitation & governance within transport, mobility, or public infrastructure.
- Proven track record in data auditing, quality diagnosis, and architectural design.
- Strong command of SQL, Power BI, Excel (advanced); Python/R appreciated.
- Ability to write technical & functional specifications, engage stakeholders (operators, region, IT, AMOA).
- Strategic mindset for SIMR evolution and tender data requirements.
Key Responsibilities:
1. Audit and map all client & commercial data from SNCF, identify gaps, and define data cleansing & structuration rules.
2. Design data flow diagrams (sources, formats, frequency, usage) and implement quality control tools & procedures.
3. Provide data expertise during SIMR needs definition, serve as project team data lead, write and validate specifications.
4. Structure interfaces between SIMR, region, SNCF, and future operators, ensuring data traceability and consistency.
5. Contribute to tender specifications (DCE) for rolling‑stock lots, specifying data formats, frequency, compliance, and interoperability.
6. Conduct continuous monitoring of data technologies, suggest innovations, and support improvement initiatives within the SPL GEM.
Required Skills:
- Data audit, quality assessment, and governance.
- Data architecture design and documentation.
- SQL, Power BI, advanced Excel; Python/R optional.
- Specification writing (functional & technical).
- Stakeholder communication and collaboration.
- Strategic thinking for future data systems.
- Analytical rigor, autonomy, public‑sector service orientation.
Required Education & Certifications:
- Master’s degree (Bac +5) in Data Science, Computer Science, Information Systems, or related fields.
- Professional certifications in data management or governance are an advantage (e.g., DAMA‑DCI, CDMP).