Head of Cloud AI & Data Platform

Recruiting a Head of Cloud AI & Data Platform requires a thorough understanding of the role. The following is a very general summary, which should be adapted to your specific context.
(Reporting to the Chief Digital Officer or Chief Technology Officer)

The Head of Cloud AI & Data Platform is responsible for the strategy, design, and management of a unified Cloud, AI, and Data Platform that enables the company to fully leverage its data assets and accelerate innovation through artificial intelligence. Their role is to define a coherent vision for a scalable, secure, and high-performance platform that integrates advanced analytics, machine learning, and automation capabilities. They work closely with Data, IT, Data Science, and business teams to ensure the platform meets current and future business needs while aligning with strategic objectives.


Responsibilities and Missions

1. Define the Strategy and Roadmap for the Cloud AI & Data Platform

  • Develop a comprehensive vision for the platform, aligned with business and technology objectives.
  • Define a technological roadmap for platform evolution (e.g., adoption of new cloud technologies, integration of generative AI).
  • Evaluate and select technologies (AWS, Azure, GCP, Databricks, Snowflake) based on performance, cost, and scalability.
  • Collaborate with management to prioritize investments and initiatives based on business impact.

2. Design and Architect the Cloud AI & Data Platform

  • Define the overall architecture integrating storage, processing, analytics, and AI components.
  • Architect hybrid or multi-cloud solutions to ensure flexibility and resilience.
  • Integrate AI and machine learning capabilities (MLOps, feature stores, generative models).
  • Ensure scalability and performance to support business growth and innovation.

3. Oversee Deployment and Operation of the Platform

  • Lead platform implementation in collaboration with IT and Data Engineering teams.
  • Automate deployment and management (IaC, CI/CD, monitoring).
  • Ensure security and compliance (encryption, access control, GDPR, ISO 27001).
  • Optimize costs and performance (right-sizing, auto-scaling, resource management).

4. Integrate AI and Data Science Capabilities

  • Collaborate with Data Science teams to integrate AI/ML models into the platform.
  • Develop MLOps pipelines for automated deployment, monitoring, and maintenance of models.
  • Facilitate access to data and tools (notebooks, testing environments, data catalogs).
  • Promote AI adoption in business processes (automation, predictions, recommendations).

5. Ensure Data Governance and Quality

  • Define governance standards (metadata, lineage, data quality).
  • Collaborate with Data Governance teams to ensure regulatory compliance.
  • Implement quality controls (validation, cleaning, monitoring).
  • Document processes and architectures for transparency and maintainability.

6. Federate Teams and Promote Innovation

  • Work with business teams to translate needs into technical solutions.
  • Lead a community of practice around the platform (workshops, training, best practices).
  • Monitor technological innovations (generative AI, data fabric, lakehouse) and assess their potential.
  • Measure platform impact (adoption, performance, ROI) and recommend improvements.

Examples of Concrete Achievements

  • Designed and deployed a unified Cloud AI & Data Platform on AWS, integrating analytics, ML, and automation, cutting infrastructure costs by 25% and improving scalability.
  • Integrated generative AI models (LLMs) into the platform, enabling business teams to generate automated insights and reducing analysis time by 40%.
  • Migrated a legacy data warehouse to Snowflake, improving query performance by 50% and enabling seamless analytics integration (Tableau, Power BI).
  • Automated MLOps pipelines, reducing time-to-production for ML models by 60%.
  • Developed and integrated a Collibra data catalog, increasing business user data adoption by 35%.

Contact us

Companies, Institutions, Talents : contact us here or directly via our LinkedIn pages.