Siemens

Marketing Operations & Data Specialist

Siemens
Advanced Manufacturing & ElectronicsBrno - Jihomoravský kraj - Czechia | Dubai - Dubai - United Arab Emirates | Madrid - Madrid - Spain | Ostrava - Moravskoslezsky kraj - Czechia | Prague - Prague - Czechia | Singapore - Central Singapore - SingaporeOnsitePosted 1 week ago

About the role

AI summarised

Drive global marketing efficiency and strategic decision-making by architecting intelligent workflows, engineering data pipelines, and integrating cutting-edge technologies like Generative AI into the marketing tech stack.

IndustrialOnsiteMarketing

Key Responsibilities

  • Design and manage end-to-end automation workflows using Microsoft Power Automate, n8n, and RPA platforms like UiPath to streamline global marketing operations.
  • Engineer data pipelines by integrating Snowflake and Power BI, creating high-impact visualizations that drive campaign decisions.
  • Lead the integration of generative AI to revolutionize content creation, distribution, and localization across global channels.
  • Collaborate with international teams to identify process bottlenecks, establish best-practice frameworks, and centralize media assets with consistent metadata.
  • Build scalable and secure integrations using APIs and Python/JavaScript scripting while maintaining rigorous cybersecurity and version control standards.
  • Analyze campaign effectiveness through custom dashboards and refined UI/UX interfaces to present clear insights to stakeholders.

Requirements

  • 2-5 years of professional experience in marketing operations, data science, or a highly technical marketing role.
  • Solid background in Data Science, CS, or Marketing Informatics with deep expertise in Automation, AI, or Data Management.
  • Hands-on experience building complex workflows and integrating third-party tools into a cohesive marketing tech stack.
  • Proficiency in ETL processes and modern data environments like Snowflake, capable of translating data into strategic ideas.
  • Proven ability to translate complex technical concepts for non-technical stakeholders in a global setting.