The Design Authority works transversally across all IT departments of the entity. It leads architecture studies, guarantees the coherence of the entire IS, anticipates technological evolutions, and disseminates best practices. The topics addressed notably cover:

• Data urban planning (post-memo alignment, governance, data products, data mesh/lakehouse)
• AI Factory: Data within UCP and implementation of the AI Factory (GPU infrastructure, LLM inference solution)
• Data best practices on GCP (landing zone, governance, security, costs, tooling),
• Consulting on IT and business studies (BSS/OSS: CRM, billing, inventory,)
• IT application mapping and portfolio rationalization,

Multi-DSI studies and frameworks

• Conduct studies (opportunity, framework, options) for the entity's IT departments; formulate recommendations and roadmaps.
• Prepare arbitration/investment files: business case, CAPEX/OPEX, ROI, risks, compliance (GDPR, sovereignty).

Data urban planning and governance

• Ensure data urban planning coherence following the memo: domains, models, access policies, quality, catalog and lineage, Define Data Mesh/Data Products patterns, within the OW context
• Establish data blueprints and best practices on GCP: landing zone, IAM, network, segmentation, BigQuery, Dataflow/Dataproc, Pub/Sub, Vertex AI, cost and security management.

IT architecture and integration (BSS/OSS, API, events)

• Contribute to ongoing studies on BSS, billing, APIs,.
• Rely on TM Forum frameworks (eTOM, SID, Open APIs) to standardize exchanges.

IS mapping and rationalization

• Build and maintain the mapping of applications, data, and integrations; tool the repository.
• Prioritize rationalization and decommissioning (TIME/6R), manage dependencies, measure TCO and time-to-market impact.

Key Skills Enterprise architecture and urban planning

• ODA/TMF, BPMN, IS mapping, capability & information mapping, DDD.
• Data urban planning: governance, quality, catalog/lineage, Data Mesh/Lakehouse, DataOps/MLOps.
• API management (design-first, versioning, OAuth2/OIDC security, mTLS, throttling, monetization).

Cloud, data & platforms

• GCP: landing zone, IAM, VPC, BigQuery, Dataflow/Dataproc, Pub/Sub, Vertex AI, Data Catalog, governance and FinOps.
• Kubernetes/OpenShift, IaC (Terraform/Ansible), CI/CD, observability (Prometheus, Grafana, ELK).

Security, compliance, and costs

• Zero Trust, encryption, secrets management, GDPR/sovereignty, ITSM/ITIL.
• FinOps/TCO: cost/usage modeling, optimization (rightsizing, reservations, autoscaling).