Senior Martech & Data Manager(m/w/x)

Beschreibung

As the technical architect of the company's marketing infrastructure, you will bridge the gap between strategy and execution by building scalable data systems that drive revenue growth.

Anforderungen

• •Experience with data structures and reporting
• •Server-side tracking and conversion APIs
• •Technical and non-technical communication skills
• •Proven marketing performance improvement
• •AI fluency and innovation focus
• •Proficiency in scaling work via tools
• •Experience with AI/ML marketing solutions
• •Coding and scripting for prototyping
• •Marketing or engineering background
• •GTM expertise and data modeling interest
• •Engineering background with business context
• •Deep GTM and tracking expertise
• •GA4 mastery and BigQuery integration
• •Ad platform and conversion API experience
• •HubSpot or similar MAP proficiency
• •SQL proficiency and database design
• •Privacy and compliance knowledge
• •API and webhook integration skills
• •Ability to explain technical concepts
• •Technical specification writing skills
• •Effective documentation creation
• •Solution-oriented and self-driven
• •Critical thinking and analytical mindset
• •Iterative and execution-focused approach
• •Systems thinking and framework building
• •Focus on scalability and leverage
• •Curiosity and team motivation
• •Active technical sharing or projects
• •Privacy regulation navigation experience
• •Active participation in martech communities
• •Internal tool or extension development
• •Creative technical problem-solving
• •Bachelor's degree

Aufgaben

• •Design the complete marketing data model
• •Define data structures and taxonomies
• •Architect real-time data flows
• •Partner with data engineers on specifications
• •Document systems for independent team use
• •Optimize the full martech stack
• •Implement advanced server-side tracking
• •Build and maintain system integrations
• •Troubleshoot technical infrastructure issues
• •Build dashboards and measurement frameworks
• •Design accurate marketing attribution models
• •Translate business questions into technical requirements
• •Monitor data quality and governance
• •Evaluate and implement AI optimization tools
• •Build scalable marketing automation workflows
• •Liaise between marketing and engineering teams
• •Explain technical constraints to stakeholders

Tools & Technologien

Benefits