Director of Marketing Automation Data Analytics Are you looking for a place
where you can bring your expertise and act as the cross-functional bridge - translating marketing needs into clear, actionable requirements for campaign reporting, performance measurement, and advanced predictive modeling (AI/ML)?
As a Director of Marketing Automation & Data Analytics on the Data Analytics team, a typical day for you will include:
- Marketing Data Science & Modeling
- Lead development and deployment of predictive models (segmentation, propensity, next-best-action, churn)
- Apply machine learning and statistical techniques to improve targeting and personalization
- Translate business problems into modeling approaches
- Campaign Performance Measurement & Optimization:
- Develop and own frameworks for measuring impact of multi-channel, behavior-triggered acquisition and nurture programs across email, SMS, and app channels
- Implement incrementality testing, attribution modeling, and marketing mix modeling
- Deliver insights on ROI and campaign lift
- Establish feedback loops for continuous optimization
- Experimentation & Test Design:
- Build a culture of experimentation
- Define best practices for statistical testing and interpretation
- Partner with stakeholders on test prioritization
- Advanced Analytics & Insights:
- Lead deep-dive analyses on customer behavior
- Translate analytical outputs into actionable recommendations
- Define requirements for executive-level reporting and insights delivery
- Personalization & Segmentation Strategy:
- Define data-driven segmentation and personalization strategies
- Provide requirements for model-driven personalization and targeting capabilities
- Ensure alignment between marketing strategy and analytical outputs
- Cross-Functional Partnership:
- Orchestrate cross-functional teams across Marketing, Data Engineering, IT and Data Science to align marketing technology with overall business strategy
- Collaborate with data engineering and IT on data availability
- Partner with marketing teams to operationalize models
- Act as an effective bridge between data science and marketing
- Evaluate tools for modeling, experimentation, and analytics
- Drive adoption of AI/ML-driven decisioning through business use cases and requirements
Bring your skills and be inspired to achieve success. (Required qualifications)
- 8+ years of experience in marketing analytics and automation, with at least 3 years in a leadership role.
- Proven track record in modeling, experimentation, and performance improvement
- Expertise in marketing analytics and experimentation with strong business acumen, stakeholder management, and the ability to translate complex marketing objectives into scalable data and modeling requirements.
- Strong understanding of predictive modeling, ML, and experimentation
- Strong knowledge of marketing measurement (attribution, MMM)
- Ability to translate business needs into analytics and data science requirements
- Strong communication and senior stakeholder influence
- Familiarity with marketing platforms (CRM, CDPs)
- Bachelor's degree in Marketing, Data Analytics, or related field (Master's preferred)
- Schedule / in-office requirements:
- Hybrid working model; Monday-Wednesday in office, Thursday/Friday from home.
- Our office locations are:
- 500 E John Carpenter Fwy, Irving, TX
- 1010 N University Parks Drive, Waco, TX
Bring your goals and be enabled to reach them. - Competitive Pay: Commensurate with experience
- Schedule: Full-time, Monday - Friday, 8 AM - 5 PM local time zone
- Benefits: Check out our benefits offerings here: Neighborly Benefits
- Financial Benefits: Equity and bonus opportunities
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Brand:
Neighborly - USA Shared Services
