Director, Marketing Automation & Data Analytics
About The Position
Neighborly is seeking a Director of Marketing Automation & Data Analytics to act as a cross-functional bridge, translating marketing needs into clear, actionable requirements for campaign reporting, performance measurement, and advanced predictive modeling (AI/ML). As a leader on the Data Analytics team, you will be responsible for the development and deployment of predictive models, applying machine learning and statistical techniques to improve targeting and personalization. You will also own frameworks for measuring the impact of multi-channel programs, implement incrementality testing, attribution modeling, and marketing mix modeling, and deliver insights on ROI and campaign lift. Additionally, you will build a culture of experimentation, define best practices for statistical testing, lead deep-dive analyses on customer behavior, and translate analytical outputs into actionable recommendations. You will also define data-driven segmentation and personalization strategies, ensure alignment between marketing strategy and analytical outputs, and orchestrate cross-functional teams to align marketing technology with overall business strategy. Evaluating tools for modeling, experimentation, and analytics, and driving the adoption of AI/ML-driven decisioning are also key aspects of this role.
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
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
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What This Job Offers
Job Type
Full-time
Career Level
Director
