Director, Analytic Consulting

About the role

Epsilon is seeking a Director of Analytics to join its Analytics Consulting practice within the Analytic Services team, focused on Financial Services clients. The Director provides a strategic, data-driven vision that supports decision making and delivers measurable business impact, working with Data Science, AI, Strategy, Client Services, Product and Delivery teams to turn complex marketing and media challenges into scalable analytic solutions.

Key responsibilities

• Serve as client-facing lead for Analytic Services across Financial Services relationships of varying size and complexity
• Define paid media measurement strategies for brand, performance and customer-level campaigns, aligning KPI frameworks, success metrics and reporting expectations
• Translate methodologies such as experimentation, causal inference, attribution, segmentation, predictive modeling, incrementality and closed-loop measurement into clear client insights
• Partner cross-functionally to deliver advanced analytics, machine learning and AI-driven solutions for paid and owned media
• Manage delivery of audience measurement and insights with junior resources, coordinating onshore and offshore teams
• Help clients interpret results and optimize audience, offers and creative, and communicate actionable insights and business impact to clients and senior stakeholders
• Analyze data in Epsilon's tools (PeopleCloud, cleanrooms, CDPs) and coach, mentor and develop analytics team members

Required profile

• Bachelor's degree in a quantitative discipline; Master's degree in a related field is additional but not required
• 8+ years in data science, analytics or machine learning, with strong preference for marketing analytics experience
• Deep understanding of customer-level marketing analytics, segmentation, attribution, incrementality and closed-loop measurement
• Experience with large record-level datasets and with first-party data, CDPs, cleanrooms and media exposure data
• Knowledge of paid media channels such as programmatic, search, social, display, connected TV and out-of-home
• Excellent communication skills and proven ability to work across interdisciplinary teams

Required skills

• SQL, Python or similar data manipulation and analytic tools
• Data visualization and executive storytelling
• Statistical methods, experimental design, hypothesis testing, causal inference and predictive modeling
• Project management and multitasking across several analytics projects

Additional but not required: familiarity with Databricks, data visualization tools, media mix modeling, multi-touch attribution and brand lift, and experience in the Financial Services sector with FCRA data limitations.