Marketing Science & Engineering Manager
About Net Conversion:
We're a data-obsessed marketing and analytics agency in downtown Orlando, driven by a relentless pursuit of 'more'—for our clients and ourselves. Our people are our differentiator, fostering a unique, award-winning culture (10+ times 'Best Place to Work') that champions disruptive thinking and work-life balance. We're not corporate—we’re better, and hopefully, you’ll learn why!
JOB TITLE: Marketing Science & Engineering- Manager
DATE: 2026
DEPARTMENT: Analytics
REPORTS TO: VP, Analytics
MAJOR PURPOSE:
This role will oversee our client data pipeline, to ensure accurate and automated media and business datasets, to ensure our data becomes actionable. Additionally, they will work on delivering adhoc and scheduled data science applications and insights, such as Media Mix Models, impact analysis, etc. In developing and delivering insights, they’ll work cross-departmentally with Media Analytics and Marketing to enhance deliverables, create new and innovative solutions and overall uplevel our technology and analytics products.
MAJOR RESPONSIBILITIES:
- Oversee Advanced Measurement & Analytics
- Manage the deployment, execution, and scaling of data science applications, include Media Mix Modeling (MMM), causal impact, and market testing frameworks
- Join client calls as a SME to co-present and field technical and methodology questions
- Lead Data Engineering & Automated Pipelines
- Direct the data management team in designing, building, and maintaining automated ETL/ELT pipelines to ensure client data is accurate, standardized, and seamlessly integrated across platforms.
- Establish robust Quality Assurance (QA) standards, automated data validation checks, and data governance practices across all incoming and outgoing client datasets.
- Identify and execute pipeline automation opportunities within our GCP ecosystem to enhance proprietary tech (Conversionomics), optimize query performance, and eliminate manual data handling.
- Bridge Media & Data Team
- Collaborate weekly with Media Analytics teams to ensure long-term modeling insights seamlessly inform tactical, fast-paced media optimizations.