Mobility Services Data Architect | Mobility Services Data Architect (f/m/d)
Siemens AG
Job Summary
As a Mobility Services Data Architect at Siemens, you will leverage your data expertise and AI capabilities to transform global corporate mobility. Day-to-day, you'll analyze complex datasets using SQL, Python, cloud platforms, and BI tools to provide actionable insights, maintain KPIs, and create forecasts and TCO analyses. You'll drive sustainability reporting, including CO₂ metrics, and use AI for automated insights and anomaly detection. Additionally, you'll ensure global data harmonization, integration, and quality, developing the data tool landscape and driving digitalization initiatives. Collaborating with global stakeholders—IT, Procurement, Fleet/Travel Management—you'll lead workshops and coordinate on standards and governance. The role requires a master's degree in Data Science or related field, extensive experience as a Data Architect or in advanced analytics (ideally in mobility/fleet/travel), deep technical skills in SQL, Python, BI tools (e.g., Tableau, PowerBI), and cloud platforms (e.g., Snowflake). Strong analytical mindset, project management abilities, and fluency in English and German are essential. This position offers the chance to work with cutting-edge technologies, flexible mobile working, and impactful sustainability initiatives.
Required Skills
Education
Master's degree in Data Science, Computer Science, Mathematics, or related field
Experience
- Extensive professional experience as a Data Architect or in an advanced analytical role
- Ideally experience within mobility, fleet, or travel-related environments
- Proven track record in designing and delivering high-quality dashboards and reports
- Experience with data governance, consistency, and data quality across systems
- Demonstrated ability to synthesize complex multi-source datasets into actionable insights
Languages
Additional
- Fluent in English and German (explicitly required). No work permit or security clearance requirements specified. Location not explicitly stated but likely Germany/Europe. Travel not specified.
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