Cross-functional Collaboration : Serve as the primary liaison between data teams and marketing stakeholders, translating technical insights into actionable business recommendations.
Minimum 10 years of experience in data science, analytics, or related field
Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts
Excellent persuasive communication skills for bridging technical and non-technical audiences
Performance Reporting : Develop dashboards and reports to monitor product performance and key business metrics.
Product Data and Analytics Strategy : Develop and execute data and analytics plans aligned with product and organizational goals.
Master's degree in Statistics, Data Science, Economics, Computer Science, Mathematics, or related quantitative field
Minimum of 7 years of experience in managing and leading people
Experience designing and implementing automated reporting and alerting systems
Innovation and Optimization : Review and understand tools in the marketplace that will help with innovation and optimization. Actively seek out new use cases and experiments that will result in organizational transformation and sales and profit improvements.
Strategic thinker with a passion for innovative marketing strategies; has a deep understanding of direct mail and digital marketing analytics
Experience with marketing technology cloud platforms (AWS, Azure, GCP) and data visualization tools (Tableau, Power BI, or similar)
Knowledge of automation tools and technologies (workflow automation, RPA, AI-driven automation)
Extensive hands-on experience in direct marketing, digital campaign optimization, experimental design, A/B testing, modeling using Generative AI/ML, and marketing media attribution models
Advanced proficiency in Python, SQL, and marketing technology platforms such as DataRobot, Adobe Campaigns, DataBricks, and CDPs
Automation Strategy : Spearhead the identification, design, and implementation of automation opportunities, including generative AI, across the data and marketing workflow. Develop intelligent automation solutions that reduce manual effort, increase operational efficiency, and allow the team to focus on high-value strategic activities.
Experimental Design : Implement testing frameworks and A/B experiments to boost customer experience and marketing performance.
Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference
Data Infrastructure : Collaborate with Analytics Engineering to build and maintain robust, compliant data pipelines.
Strong technical background in predictive modeling, statistics, and data visualization
Marketing Analytics : Direct cross-channel campaign analysis, establish KPIs, and optimize marketing ROI.
Predictive Modeling : Lead the creation of customer segmentation and propensity models to enhance marketing effectiveness.
Team Leadership : Mentor and manage Data Scientists, Analysts, Engineers in a collaborative, innovative environment.
Excellent presentation skills for executive leadership