This listing doesn't post a salary. Most similar roles pay
$157,425–$224,250.
Based on 240 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1117 open roles
on FindRole.
Listed pay typically runs
$186,160–$215,000
across 7 roles with salary data.
As Vice President, Digital Marketing Analytics, you will join the Digital Marketing Analytics team to shape strategy through rigorous analysis, experimentation, and clear storytelling. You will lead a high-performing analytics team, focusing on coaching, hiring, and building scalable processes to improve marketing decision-making. Your daily work involves translating customer behavior and campaign performance into actionable insights for cross-functional partners in Finance, Product, and Technology. You will conduct advanced experimental designs like A/B and multivariate testing while utilizing classical statistical methods alongside a pragmatic approach to generative AI and large language models. Required skills include proficiency in Python, SQL, SAS, R, Tableau, Alteryx, and Adobe Analytics. You will solve complex problems regarding marketing performance, measurement configuration, and profit and loss analysis using advanced quantitative techniques to optimize customer experiences and channel strategies.
Lead, mentor, and hire a high-performing analytics team while promoting scientific rigor and ethical AI.
Translate complex customer behavior and campaign performance into actionable insights for senior leadership.
Design and implement advanced experimental designs, including A/B and multivariate testing, to measure marketing effectiveness.
Develop scalable and reliable analytics processes to optimize business outcomes and measurement configurations.
Apply advanced statistical methods and causal inference to solve unstructured business problems and quantify significance.
Integrate generative AI and LLMs as complementary tools while prioritizing classical statistics for core measurements.
Conduct deep-dive analyses of customer behavior to improve channel strategies and marketing performance.
Partner with cross-functional teams like Finance and Product to turn complex questions into measurable actions.
What we're looking for
Graduate or post-graduate degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Finance, Economics, Data Analytics, or Machine Learning.
5+ years of hands-on analytics experience in banking strategic analytics.
Proficiency with Python and SQL, along with experience using visualization tools like Tableau and analytics tools like Alteryx.
Experience with Adobe Analytics for implementation, reporting, and insight generation.
Strong statistical or econometric foundation including A/B testing, causal inference, and experimentation frameworks.
Advanced analytics skills using SAS, Python, or R.
Ability to translate complex models into clear explanations for cross-functional stakeholders and senior leadership.
Experience with big data ETL processes, AWS, Spark, Snowflake, or people leadership (preferred).
SQL
Python
Artificial Intelligence
Data Analytics
Marketing Automation
Customer Data Platforms
Agile
Data Quality
Automation
Segmentation
Salesforce
Adobe
SAS
Microsoft
Project Management
Test-and-Learn
Google Analytics
GA4
Adobe Analytics
Tag Management Platforms
Data Layer
Web Analytics
AI
Machine Learning
Business Intelligence
Data Visualization
Digital Measurement
QA
GDPR
CCPA
Consent Management Frameworks
Product Roadmap
Machine Learning
Deep Learning
Generative AI
LLMs
NLP
Python
Java
C++
Transformers
Hugging Face
TensorFlow
PyTorch
NumPy
Scikit-Learn
Pandas
AWS
SageMaker
Prompt Engineering
Big Data