Director, Marketing Automation & Data Analytics

NeighborlyIrving, TX
Hybrid

About The Position

Neighborly, a company with over 40 years of experience in service brands, is seeking a Director of Marketing Automation & Data Analytics. This role will act as a cross-functional bridge, translating marketing needs into actionable requirements for campaign reporting, performance measurement, and advanced predictive modeling. The company is focused on strategic innovation and building the future of home and business services, offering an opportunity for career growth and innovation.

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, MMM)
  • Ability to translate business needs into analytics and data science requirements
  • Strong communication and senior stakeholder influence
  • Familiarity with marketing platforms (CRM, CDPs)

Nice To Haves

  • Master’s degree preferred

Responsibilities

  • 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
  • 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
  • Build a culture of experimentation
  • Define best practices for statistical testing and interpretation
  • Partner with stakeholders on test prioritization
  • Lead deep-dive analyses on customer behavior
  • Translate analytical outputs into actionable recommendations
  • Define requirements for executive-level reporting and insights delivery
  • Define data-driven segmentation and personalization strategies
  • Provide requirements for model-driven personalization and targeting capabilities
  • Ensure alignment between marketing strategy and analytical outputs
  • 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

Benefits

  • Equity and bonus opportunities
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service