29.07.2026 aktualisiert
100 % verfügbar
Director | Enterprise Data & AI Strategy | Cloud & AI Transformation
Ittigen, Schweiz
Weltweit
Diploma in Business AdministrationÜber mich
Senior Data & AI Platform leader with 25+ years of experience in enterprise strategy, architecture and cloud transformation. I build secure, governed and scalable platforms, modernize integration, align stakeholders and turn complex business needs into sustainable value in regulated environments.
Skills
Data IntegrationData Transformation ServicesDigitale ArchitekturEnterprise Architecture FrameworkUnternehmensstrukturSolution ArchitectureCloud PlatformAzure Data FactoryDatenstrategieAWS Data AnalyticsDigitalstrategieTerraformAzure Data AnalyticsCloud-Management-PlattformenDatabricks
Enterprise Data & AI Strategy
Platform vision, capability roadmaps, investment priorities, architecture principles and executive decision support across regulated and non-regulated environments, including life sciences and financial services.
AWS & Azure Cloud Transformation
Design and implementation of AWS and Azure platform architectures, including GxP qualification boundaries, security and compliance controls, Landing Zone setup, IAM, Entra ID, Terraform and CI/CD pipelines.
Databricks Lakehouse & SnapLogic iPaaS
Architecture and operating model design for Databricks Lakehouse with Unity Catalog, Medallion Architecture, DevSecOps and FinOps, as well as SnapLogic Integration Factory models including DEV/TEST/PROD strategy, reusable patterns and production runbooks.
Enterprise Architecture
Architecture ownership across C4 models, TOGAF-based frameworks, target architecture definition, governance model design and formal acceptance by architecture boards.
Platform Operating Models & Governance
Definition of governance structures, roles and accountabilities, environment strategies, release controls, Integration Factory design, DevSecOps and sustainable platform operations.
Data Integration & API Strategy
End-to-end integration architecture for enterprise systems including LIMS, SAP Datasphere, REST APIs and EAI solutions across GxP and non-GxP contexts.
GxP / Regulated Platforms
Qualification and compliance management for data and AI platforms in regulated pharmaceutical environments, including control profiles for identity, network isolation, logging, monitoring, encryption, backup and change management.
Vendor & Partner Management
Structured RFI and RFP/PoC processes, architecture board presentations, vendor selection, partner steering and ecosystem leadership including FinOps and organizational change.
DevSecOps, Terraform & IaC/CI/CD
Implementation of infrastructure-as-code standards, CI/CD pipelines, observability, backup/recovery and structured FinOps mechanisms for scalable platform delivery.
BI & Cloud Platform Architecture
Architecture and consulting for enterprise BI and cloud platform initiatives across financial services, insurance, industrial and enterprise technology environments.
Platform vision, capability roadmaps, investment priorities, architecture principles and executive decision support across regulated and non-regulated environments, including life sciences and financial services.
AWS & Azure Cloud Transformation
Design and implementation of AWS and Azure platform architectures, including GxP qualification boundaries, security and compliance controls, Landing Zone setup, IAM, Entra ID, Terraform and CI/CD pipelines.
Databricks Lakehouse & SnapLogic iPaaS
Architecture and operating model design for Databricks Lakehouse with Unity Catalog, Medallion Architecture, DevSecOps and FinOps, as well as SnapLogic Integration Factory models including DEV/TEST/PROD strategy, reusable patterns and production runbooks.
Enterprise Architecture
Architecture ownership across C4 models, TOGAF-based frameworks, target architecture definition, governance model design and formal acceptance by architecture boards.
Platform Operating Models & Governance
Definition of governance structures, roles and accountabilities, environment strategies, release controls, Integration Factory design, DevSecOps and sustainable platform operations.
Data Integration & API Strategy
End-to-end integration architecture for enterprise systems including LIMS, SAP Datasphere, REST APIs and EAI solutions across GxP and non-GxP contexts.
GxP / Regulated Platforms
Qualification and compliance management for data and AI platforms in regulated pharmaceutical environments, including control profiles for identity, network isolation, logging, monitoring, encryption, backup and change management.
Vendor & Partner Management
Structured RFI and RFP/PoC processes, architecture board presentations, vendor selection, partner steering and ecosystem leadership including FinOps and organizational change.
DevSecOps, Terraform & IaC/CI/CD
Implementation of infrastructure-as-code standards, CI/CD pipelines, observability, backup/recovery and structured FinOps mechanisms for scalable platform delivery.
BI & Cloud Platform Architecture
Architecture and consulting for enterprise BI and cloud platform initiatives across financial services, insurance, industrial and enterprise technology environments.
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2026
Sprachen
DeutschMutterspracheEnglischverhandlungssicherFranzösischGrundkenntnisse
Projekthistorie
Own the enterprise Data & AI Platform strategy, target architecture, governance roadmap and operational readiness in a regulated pharmaceutical environment. Lead the mandate to rebuild the platform on AWS, translating an IT-leadership-approved reference architecture into an integrated program spanning AWS Landing Zone, Databricks, SnapLogic, security, compliance, GxP qualification and use-case enablement. Direct cross-functional workstreams across Enterprise Architecture, Security, Compliance/QA, Infrastructure, Data Engineering, Integration, Governance, business owners and external partners. Shape the Databricks platform architecture and operating model, establish the SnapLogic Integration Factory model, and position the platform as a secure, governed and scalable foundation for analytics, AI/ML, enterprise data products and future generative and agentic AI capabilities.
Provide advisory and overall technical leadership for enterprise Data & AI platform initiatives, with emphasis on target architecture, governance, cloud operating models and delivery assurance.
Established and formally aligned the enterprise Data & AI Platform target architecture (C4), governance model and security model. Positioned the platform as a strategic foundation for analytics and AI. Introduced the Databricks Lakehouse, Medallion Architecture and Unity Catalog as standards for data management, quality, governance and compliance. Enabled productive data connectivity to key core systems including LIMS and SAP Datasphere. Defined DevOps, CI/CD and infrastructure-as-code standards, implemented structured FinOps mechanisms, and established onboarding, documentation and training capabilities. Designed and led a structured RFI and end-to-end RFP/PoC for enterprise integration and iPaaS.