Head of Data Analytics

Role Overview:

• Lead and develop an international team of data experts to deliver advanced analytics solutions.
• Own the design and implementation of scalable DataOps pipelines and modern data architecture.
• Serve as a consultant, mentor, and enabler to internal stakeholders and other data teams.
• Drive digitalization and operationalization of data and AI initiatives across Siemens Mobility.

Key Responsibilities:

Team Leadership & Development

• Lead an international team of 10 data experts, fostering high performance and continuous learning.
• Mentor and enable internal customers and other data teams to leverage analytics solutions.
• Create visibility for team activities, communicate successes, and demonstrate business value.

Data Architecture & Analytics

• Shape and maintain overall data architecture, including data models, metadata standards, and security practices.
• Lead technical ownership of key data analytics projects and coordinate with business stakeholders.
• Implement production-ready DataOps pipelines to operationalize analytics solutions.
• Continuously innovate the modern data stack, incorporating new tools, products, and technologies.

Consulting & Stakeholder Management

• Act as a trusted advisor to business stakeholders on data-driven decision-making.
• Provide guidance on data modeling, governance, and best practices in analytics.
• Ensure alignment of data initiatives with enterprise strategy and digitalization goals.

Required Qualifications & Experience:

• University degree in IT, Engineering, or a related field.
• Extensive experience with data modeling frameworks such as Data Vault, Dimensional Modeling, Kimball, and Inmon.
• Expert programming skills in SQL and preferably Python.
• Deep understanding of modern CI/CD pipelines and agile software development for data and AI projects.
• Working experience with cloud platforms (AWS, GCP, Azure) and associated data warehousing/analytics tools (Snowflake, dbt Cloud).
• Proven experience leading and managing high-performing data teams.
• Strong command of English; German is a plus.