Marketing Analytics Manager - AI Model Training - Remote

YO IT Consulting is looking for a senior marketing analytics professional to contribute to the next generation of AI systems in understanding marketing performance. The role involves evaluating AI-generated marketing insights, challenging advanced language models, and providing structured feedback to enhance model accuracy and effectiveness.

Responsibilities:

• Evaluate AI-generated responses for accuracy, clarity, analytical rigor, and practical usefulness in marketing analytics contexts
• Challenge advanced language models with complex marketing analytics scenarios, including attribution tradeoffs, funnel diagnostics, campaign performance analysis, and growth forecasting
• Review and refine AI-generated prompts, model responses, reasoning chains, and explanations related to marketing data, metrics, and decision-making
• Identify errors, omissions, misleading assumptions, or weak analytical logic in AI-generated marketing recommendations
• Provide structured feedback that helps improve model behavior, domain accuracy, and the quality of AI-supported marketing analysis
• Shape AI communication standards for how models explain dashboards, statistical findings, experiment results, campaign outcomes, and business implications
• Support benchmarking efforts by creating and evaluating tasks that test model performance across real-world marketing analytics use cases
• Contribute domain expertise to improve how AI systems handle executive summaries, performance narratives, and actionable marketing recommendations

Requirements:

• 4+ years of professional experience in marketing analytics, growth analytics, marketing science, revenue analytics, or a closely related field
• Significant hands-on work with marketing performance data, including paid media, web analytics, CRM, lifecycle marketing, campaign reporting, experimentation, or customer funnel analysis
• Deep knowledge of attribution modeling, CAC/LTV analysis, funnel optimization, customer segmentation, marketing KPIs, and performance measurement frameworks
• Strong understanding of statistical reasoning, A/B testing, incrementality, cohort analysis, data visualization, and the limitations of common marketing measurement approaches
• Proven experience translating complex marketing data into clear business recommendations for executives, marketing leaders, product teams, or growth stakeholders
• Bachelor's degree in marketing, business analytics, statistics, economics, data science, mathematics, or a related field; a master's degree or MBA is preferred