Director of Marketing Automation Data Analytics

Neighborly®•Irving, TX

5d•Hybrid

About The Position

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. Our long-standing business, with over 40 years of experience, is focused on strategic innovation as we build the future of home and business services. Bring your ambition to the table as we unlock new doors together, taking your career to the next level. Bring your experience and be empowered to innovate. As a Director of Marketing Automation Data Analytics on the Strategic Operations and Analytics team, a typical day for you will include:

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)
Bachelor’s degree in Marketing, Data Analytics, or related field (Master’s preferred)

Responsibilities

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