Vice President, Digital Marketing Analytics

JPMorgan Chase

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Quick summary

Work type: On-site
Location: Wilmington, DE
Employment: Full-time
Posted: 5 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $181k

$134k $222k

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This listing doesn't post a salary. Most similar roles pay $149,375–$212,500.

Based on 240 similar postings.

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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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Vice President, Digital Marketing Analytics

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As the Vice President, Digital Marketing Analytics, you will join the Digital Marketing Analytics team to lead quantitative research and experimentation aimed at optimizing marketing performance and customer experiences. You will manage a high-performing team, building scalable analytics processes and translating complex customer behavior into actionable insights for Marketing, Finance, and Product partners. Your daily work involves conducting hypothesis testing, A/B and multivariate testing, and profit and loss analysis to solve unstructured business problems. You will utilize Python, SQL, SAS, R, Tableau, Alteryx, and Adobe Analytics, while applying classical statistical methods and causal inference. Additionally, you will pragmatically integrate generative AI and large language models into workflows. You must possess a quantitative degree and experience in banking strategic analytics, supervised learning, and big data processes using AWS, Spark, or Snowflake.

Skills

Python SQL SAS R Tableau Alteryx Adobe Analytics AWS Spark Snowflake Generative AI LLMs A/B Testing Causal Inference Machine Learning Confluence Statistics Supervised Learning Anomaly Detection

What you'll do

Lead quantitative research and experimentation to optimize marketing performance and customer experiences.
Translate customer behavior and campaign performance into actionable insights for senior leadership.
Lead, mentor, and hire a high-performing analytics team while promoting scientific rigor and ethical AI.
Design and implement scalable analytics processes to improve marketing decision-making.
Conduct A/B and multivariate testing to measure the effectiveness of marketing strategies.
Own strategic measurement initiatives, including effectiveness evaluation and profit and loss analysis.
Apply classical statistical and causal methods to core measurement and optimization workstreams.
Solve unstructured business problems using deep-dive analyses of customer behavior and marketing performance.

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.
Hands-on proficiency with Python and SQL, and experience with visualization tools like Tableau and analytics tools like Alteryx.
Experience with Adobe Analytics for implementation, reporting, and insight generation.
Strong statistical or econometric foundation with hands-on experience in A/B testing, causal inference, and experimentation frameworks.
Strong advanced analytics skills using SAS, Python, or R.
Excellent communication skills to translate complex models into clear explanations for cross-functional stakeholders and senior leadership.
Exposure to enterprise AI enablement, LLM-assisted workflows, or analytics transformation programs.
Familiarity with supervised learning, anomaly detection, semi-supervised learning, clustering, feature stores, calibration, and imbalanced learning.
Proficiency in big data extract, transform, and load processes across structured and unstructured data sources (preferred).
Professional experience with AWS, Spark or EMR, and Snowflake (preferred).
Experience with Confluence and generative AI tools like ChatGPT (preferred).
People leadership experience, including recruiting, coaching, performance management, and fostering an inclusive culture (preferred).
Strong understanding of IT processes and databases, with the ability to work directly with data owners and custodians (preferred).

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