Requirements

Expected technologies

Microsoft Azure

Azure Data Factory

Apache Spark

Azure Machine Learning

MLflow

Azure DevOps

CI/CD

Operating system

Windows

Our requirements

• 8+ years of experience in a similar role
• Proven strategic leadership in enterprise-scale data & AI platform initiatives.
• Deep experience in cloud-native architecture (Azure, Databricks, Synapse, Data Lake, Azure ML) and big data engineering (Spark, ETL, data warehousing).
• Track record in aligning technical platforms with business strategy and regulatory compliance (GDPR).
• Skilled in governance frameworks, cost optimization, and performance tuning at scale.
• Adept at influencing senior stakeholders and leading cross-functional, geographically distributed teams.
• Excellent communication skills with the ability to influence technical and nontechnical stakeholders.
• Strong team leadership and mentoring experience.

Your responsibilities

• Adapt the global Core Unified Platform to European business priorities, regulatory needs, and market conditions.
• Define and execute the European data & AI platform strategy and roadmap, ensuring scalability, resilience, and cost efficiency.
• Champion governance, compliance, and risk management to protect business operations and brand trust.
• Drive adoption of modern engineering practices (DevOps, MLOps) to accelerate innovation and time-to-market.
• Align platform capabilities with business growth, operational efficiency, and datadriven decision making.
• Lead cross-regional collaboration between European stakeholders, global teams, and data product owners.
• Advocate and secure platform investments based on measurable business value.
• Mentor engineering teams, build high-performance culture, and foster communities of practice.
• Monitor emerging trends and introduce innovations that create competitive advantage.
• Drive innovation to solve complex business challenges.