6-month contract-to-hire
Hybrid work environment (can start remote, upon conversion must be able to relocate to Springfield, Missouri).
This position does NOT provide visa sponsorship.
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.
You’ll shape how the organization understands and engages customers across channels.
You’ll lead a small but impactful engineering team building the data backbone that powers modern marketing.
You’ll modernize legacy systems, introduce new technologies, and directly influence digital strategy.
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Modernize outdated systems and implement forward-looking data architectures.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.
10+ years in digital marketing, data analytics, or data engineering, with 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.
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.