VP, Digital Marketing Analytics & Growth

Fairygodboss; Wilmington (DE); On-site; USD 180,000 - 280,000; Full time

Job summary

Chase is seeking a Vice President, Digital Marketing Analytics to lead quantitative research and experimentation that optimize marketing performance and customer experiences. You will translate behavior and campaign data into actionable insights and build team capability through coaching and hiring.

You will guide measurement initiatives, apply rigorous statistical methods, and embrace generative AI as a complement to traditional analytics, driving responsible, measurable improvements across

Qualifications

• Graduate or post-graduate degree in a quantitative discipline.
• Hands-on analytics experience in banking or financial services preferred.
• Proficient with Python and SQL; strong visualization and analytics tooling.
• Experience with Adobe Analytics and experimentation frameworks.
• Strong communication to translate models for leadership.

Responsibilities

• Deliver quantitative problem solving to support digital marketing initiatives.
• Apply advanced analytics to drive research, experimentation, and measurable outcomes.
• Lead, mentor, hire, and develop a high-performing analytics team.
• Maintain pragmatic approach to AI/LLMs alongside classical methods.
• Partner with cross-functional teams to translate insights into action.
• Design scalable analytics processes to optimize outcomes.
• Conduct hypothesis testing and A/B/multivariate experiments.

Skills

Python

SQL

Tableau

Alteryx

Adobe Analytics

Statistics/Econometrics

Communication

AI/LLM awareness

Education

Quantitative degree (e.g., CS/Statistics/Finance)

Tools

SAS

R

AWS

Snowflake

Job description

Chase is seeking a Vice President, Digital Marketing Analytics to lead quantitative research and experimentation that optimize marketing performance and customer experiences. You will translate behavior and campaign data into actionable insights and build team capability through coaching and hiring.

You will guide measurement initiatives, apply rigorous statistical methods, and embrace generative AI as a complement to traditional analytics, driving responsible, measurable improvements across