Director of Marketing Automation Data Analytics
Neighborly
Irving, Texas
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JOB DETAILS
LOCATION
Irving, Texas
POSTED
1 day ago
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:
- 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
Bring your skills and be inspired to achieve success.
(Required qualifications)
- Experience:
- 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)
- Education:
- 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 Guide
- Financial Benefits: Equity and bonus opportunities
Neighborly® is fully co
About the Company
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