Summary
Senior Martech & Data Manager who designs and owns the complete marketing data infrastructure, transforming data chaos into competitive advantage by connecting web tracking, data warehouses, and insights to enable fast, data-driven marketing decisions.
Job Description
You're the technical architect who transforms our marketing data chaos into a competitive advantage. You'll own the complete infrastructure that connects web → tracking → data warehouse → insights, building the systems that enable the marketing team to make fast, data-driven decisions without waiting on IT tickets.
This isn't about maintaining tools -it's about architecting how we collect, structure, and leverage marketing data to drive revenue growth. You're the bridge between marketing strategy and technical execution, translating "we need better attribution" into server-side tracking implementations that actually work.
🧐 The Problem You'll Solve
Right now, our marketing team can't get the data they need when they need it, without spending time building ad-hoc reports.
Analytics isn't self-service-every question requires engineering time
We lack proper data architecture for marketing attribution and optimization
Advanced martech capabilities (server-side GTM, conversions APIs, offline events) aren't implemented
Marketing can't clearly communicate technical needs to data engineers: we know what we can’t measure but we can’t explain why
We're not systematically leveraging AI and automation to scale
You're the person who fixes this-permanently.
🤗 What You'll Own
Marketing Data Architecture
Design the complete marketing data model from web interactions through GA4, GTM, ad platforms, and into our data warehouse
Define data structures, taxonomies, and schemas that enable self-service analytics
Architect data flows that support real-time optimization and automated decision-making
Partner with data engineers-you spec exactly what marketing needs, they build it
Document everything so the team can find answers independently
Martech Stack Mastery
Own and optimize our complete stack: GTM (client + server-side), GA4, HubSpot, ad platforms (Meta, Google, LinkedIn), Stape, SEMrush, Search Console, consent management
Implement advanced tracking: Meta Conversions API, Google Ads offline conversions, enhanced conversions, server-side tagging infrastructure
Build and maintain integrations that ensure seamless data flow across systems
Troubleshoot technical issues and maintain 99%+ uptime on critical infrastructure
Analytics Enablement
Build dashboards and measurement frameworks that answer the team's top questions
Design attribution models that accurately represent marketing impact
Create data structures enabling rapid experimentation and testing
Translate business questions into technical requirements
Ensure data quality through monitoring and governance
AI & Automation
Continuously evaluate and implement AI tools for optimization, personalization, and efficiency
Build automation workflows that scale marketing without linear headcount growth
Stay ahead of martech trends and bring innovation to the team
Cross-Functional Technical Translation
Be the liaison between marketing, data engineering, analytics, and HubSpot architects
Translate marketing needs into crystal-clear technical specs
Explain technical constraints to non-technical stakeholders in plain language
Drive projects to completion across functional boundaries
🚀 What Success Looks Like
Data-Driven Decisions Enabled
Marketing team answers 80% of questions independently through self-service dashboards
Attribution and performance data flows in real-time, not days later
Clear documentation means anyone can find the data they need
Marketing Efficiency Gains
Server-side tracking and conversions APIs improve ad platform performance by 15-30%
Better data management reduces wasted ad spend and improves CAC
Automated reporting saves 10+ hours per week of manual work
Scalable Systems
Processes and infrastructure scale with business growth without proportional complexity
AI/automation implementations multiply team output
New team members onboard to data systems in days, not weeks
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