Hybrid AI-Driven Director of Marketing & Data Science

Material; Austin (TX); Hybrid; USD 145,000 - 170,000; Full time

Job summary

Material is seeking a Director for the Marketing & Data Science team who will lead engagements at the intersection of advanced analytics, market research, and business strategy. You will guide teams through end-to-end modeling, translate outputs into clear stories for senior audiences, and balance methodological rigor with practical business impact.

The role requires 7–10+ years in data science or marketing analytics, strong SQL and cloud data skills, and a track record of delivering

Qualifications

• 7–10+ years in data science, marketing analytics, or quantitative research - agency, consulting, or in-house.
• Solid grounding in model validation, data quality, and practical tradeoffs of analytics.
• Working knowledge of SQL and cloud data environments (Snowflake, BigQuery, AWS).
• Bachelor's degree in statistics, data science, economics, computer science, or a related quantitative field; advanced degree preferred.

Responsibilities

• Apply AI and machine learning - including LLMs and generative techniques - to accelerate segmentation, synthetic data generation, qualitative-to-quantitative synthesis, and automated insight generation.
• Design and execute behavioral analytics engagements: clickstream analysis, passive behavioral data, digital journey mapping, engagement modeling, propensity and churn prediction, and customer lifetime value.
• Integrate behavioral signals from CRM, CDP, digital, transactional, and survey sources into unified analytical frameworks that reflect how customers actually make decisions.
• Lead technical execution in Python or R across the full modeling lifecycle: feature engineering, model selection, validation, interpretation, and deployment planning.
• Stay current on advances in AI, machine learning, and behavioral science - identifying what's practically useful for clients versus what's hype.
• Own the analytical workstream end-to-end: converting business questions into clear analytic plans, timelines, and decision-ready outputs.
• Deliver executive-ready narratives that connect behavioral findings to marketing actions and measurable business outcomes.
• Serve as a trusted subject matter expert - explaining complex methods, defending recommendations, and redirecting analyses that won't answer the underlying question.
• Partner across research, strategy, technology, and data engineering to build solutions that can be activated in client environments.
• Support business development by shaping analytical approaches, scoping work, and contributing to proposals.
• Lead and mentor a pod of analysts and data scientists, providing direction, code review, and opportunities for technical and professional growth.
• Review analytical plans, model outputs, and client deliverables; catch risks early and help teams troubleshoot.
• Contribute to practice growth through knowledge sharing, capability development, and methodological innovation.

Skills

Data science

Marketing analytics

Quantitative research

Education

Bachelor’s degree (quantitative field)

Advanced degree preferred

Tools

SQL

Snowflake

BigQuery

AWS

Job description

Material is seeking a Director for the Marketing & Data Science team who will lead engagements at the intersection of advanced analytics, market research, and business strategy. You will guide teams through end-to-end modeling, translate outputs into clear stories for senior audiences, and balance methodological rigor with practical business impact.

The role requires 7–10+ years in data science or marketing analytics, strong SQL and cloud data skills, and a track record of delivering