Data & AI V&V Leader

Req ID: 528338
At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, more than 80 000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars.
Purpose of the Job
Lead the Data & AI Verification & Validation (V&V) function to ensure all Data & AI solutions delivered by the organization are reliable, secure, scalable, and compliant with Alstom engineering and quality standards.
The Data & AI V&V Leader is accountable for defining and deploying the V&V strategy, governance, methodologies, tools, and organization across the complete Data & AI governance scope.
The role works closely with Agile squads to embed quality engineering practices throughout the software development lifecycle, promoting a quality built-in culture rather than end-of-cycle validation.
As the Software Quality Engineering leader within the Data & AI Governance organization, the Data & AI V&V Leader ensures every Agile squad delivers production-ready, secure, and reliable solutions while continuously improving engineering excellence.
The mission starts with a comprehensive assessment of the current V&V maturity and continues through the execution of a transformation roadmap including best practice deployment, organizational evolution, and staffing plan execution.
Organization
Organization: Digital Services / Data & AI Governance
Reports to: Data & AI Performance Director
Direct Reports:

• Data & AI V&V Engineers
• Data & AI V&V Architects
  

Key Stakeholders
Internal

• Product Owners / Program Managers
• Data Engineers
• ML Engineers
• Data Scientists
• Data & Software Architects
• Heads of Data & AI Delivery Teams
  

External

• Technology Partners
• Software Vendors
• Engineering Partners
  

Main ResponsibilitiesDefine the Data & AI V&V Strategy

• Perform a comprehensive audit of the current V&V organization, processes, tools, and maturity.
• Identify risks, technical debt, and improvement opportunities.
• Define and execute the Data & AI V&V transformation roadmap.
• Establish quality KPIs and reporting.
  

Deploy Software Quality Engineering Best Practices

• Define and standardize verification and validation methodologies across the Data & AI technology landscape.
• Promote and deploy:
• Automated testing
• CI/CD quality gates
• Unit, integration, and end-to-end testing
• Regression testing
• Performance testing

Organization & People Management

• Build and develop the Data & AI V&V organization.
• Build and execute the staffing plan.
• Recruit, onboard, and develop V&V engineers.
• Provide hierarchical management, coaching, and career development.
• Foster a strong software engineering and quality culture.
  

Governance

• Establish Data & AI V&V governance across all Data & AI products.
• Define mandatory software quality gates before production deployment.
• Ensure compliance with Alstom engineering standards.
• Support executive reviews through quality reporting and risk assessment.
  

Agile Quality Leadership

• Define and promote V&V practices adapted to Agile delivery.
• Embed V&V engineers within Agile squads.
• Ensure verification and validation activities are integrated into sprint planning, refinement, development, and release cycles.
  

Required QualificationsEducation
Mandatory

• Masters degree in Computer Science, Software Engineering, Data Engineering, or equivalent.
  

Preferred

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• Cloud, Kubernetes, DevOps, or MLOps certifications.
  

Experience
Mandatory

• 10+ years of experience in Software Engineering, Data Engineering, AI Engineering, or Quality Engineering.
• Significant experience managing engineering teams.
• Proven experience defining and deploying enterprise-scale V&V strategies.
• Experience leading organizational transformation.
• Experience with modern Data & AI platforms and cloud-native technologies.
• Proven experience working within Agile software delivery organizations.
• Experience collaborating with cross-functional Agile squads.
• Experience implementing Software Quality Engineering practices in Agile and DevOps environments.
  

Preferred

• Experience in railway, industrial, or safety-critical environments.
  

Competencies & Skills

• Strong leadership and people management
• Technical credibility
• Software Quality Engineering
• Test Automation
• AI/ML Solution Validation
• Python
• Containerization
• CI/CD
• DevOps
• Risk Management
• Excellent communication and stakeholder management
• Continuous improvement mindset
• Strong execution and delivery focus
• Agile methodologies
  

You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you!
Important to note
As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.
Job Type: Experienced