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This hybrid role blends marketing strategy, customer analytics, and hands-on engineering leadership—perfect for someone who can bridge business priorities with technical execution to deliver measurable growth.
Job Responsibility:
Build and execute data-driven digital marketing strategies that boost customer acquisition, retention, and engagement
Analyze customer behavior, campaign performance, and conversion data—turning insights into action
Partner with Marketing and Data teams to enable personalization, targeting, and unified reporting
Optimize digital channels (email, social, web) to improve ROI and customer experiences
Integrate CRM, analytics, and marketing automation tools into enterprise data platforms
Lead and mentor a cross-functional team of data engineers, BI developers, and analysts
Oversee the development of scalable data pipelines, integrations, and analytics infrastructure (Snowflake, dbt, Airflow)
Roll up your sleeves to help design data models, review workflows, and troubleshoot complex technical challenges
Modernize outdated systems and implement forward-looking data architectures
Align engineering and marketing roadmaps to ensure technology fuels business outcomes
Establish best practices around CI/CD, data quality, documentation, and automation
Requirements:
10+ years in digital marketing, data analytics, or data engineering
4+ years in a leadership role
Expertise with modern marketing and data technologies: Snowflake, SQL, Python, dbt, Airflow, Google Analytics, Tableau, Power BI
Strong background in connecting MarTech ecosystems (CRM, automation, attribution tools) to enterprise data platforms
Ability to turn marketing goals into clear technical plans and measurable results
Exceptional communication skills and comfort working across technical, marketing, and executive teams
Bachelor’s degree in Marketing, Computer Science, Data Analytics, or related field
Nice to have:
Experience with Google Analytics, Adobe Analytics, and marketing attribution
Familiarity with HubSpot, Marketo, or Salesforce Marketing Cloud
Hands-on cloud experience (AWS, GCP, or Azure) and CI/CD practices
Strong SQL/Python for analysis and automation
Experience running A/B or multivariate experiments
Industry experience in retail, e-commerce, or automotive
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