Director, Marketing Automation & Data Analytics

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)? Welcome to Neighborly, the hub of service brands that connects customers to top‑notch local experts who repair, maintain, and enhance homes and businesses.

• 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
• Technology & Innovation
  • Evaluate tools for modeling, experimentation, and analytics
  • Drive adoption of AI/ML‑driven decisioning through business use cases and requirements

• 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, marketing mix modeling)
• 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)

• Hybrid working model:
  Monday–Wednesday in office, Thursday–Friday remote
• Locations: 500 E John Carpenter Fwy, Irving, TX and 1010 N University Parks Drive, Waco, TX
• Full‑time, Monday – Friday, 8 AM – 5 PM local time zone

• Equity and bonus opportunities
• Other financial benefits offered
• Competitive pay commensurate with experience

Neighborly® is fully committed to Equal Employment Opportunity and to attracting, retaining, developing and promoting the most qualified employees without regard to their race, gender, color, religion, sexual orientation, national origin, age, physical or mental disability, citizenship status, veteran status, or any other characteristic prohibited by federal or state law. We are dedicated to providing a work environment free from discrimination and harassment, and where employees are treated with respect and dignity and encouraged to be their authentic self.