Data Science Vice President - Card Data Analytics

You can help shape how data and AI drive decisions across our Credit Card business.

You will work on high-impact problems end-to-end-translating business questions into analytical approaches, building models and solutions, and communicating insights that influence strategy and outcomes.

Join a collaborative team where your work can directly improve customer and business experiences through responsible, scalable analytics.

As a Data Science Vice President at JPMorganChase within the Card Data & Analytics team, you will develop analytics and AI/ML solutions that support strategic initiatives and measurable business impact.

You will partner across the Card organization to define problems, scope solutions, and deliver high-quality analytical products.

You will combine consulting, data science, and programming to drive data science and analytics strategies and deliver actionable insights.

Job responsibilities


* Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI


* Drive data science and analytics strategies, including recommendations on analytical products and standards


* Help partners define business problems and scope analytical solutions


* Build an understanding of problem domains and available data assets


* Research, design, implement, and evaluate analytical approaches and models, including Generative AI-based methods


* Perform exploratory statistics and data mining tasks on diverse datasets


* Communicate findings and obstacles to stakeholders to drive delivery to market


* Develop subject matter expertise in financial and operational domains


* Code solutions using strong programming skills


* Collaborate across teams to deliver the best solutions for clients

Required qualifications, capabilities and skills


* Formal training or certification on software engineering concepts and 5+ years applied experience


* Bachelor's degree in a relevant quantitative field and 5+ years of data analytics experience, or advanced degree and 2+ years of experience


* Exceptional analytical, quantitative, problem-solving, and communication skills


* Intellectual curiosity for solving business problems


* Leadership and collaboration skills


* Knowledge of statistical software (for example, Python, R, SAS) and data querying languages (for example, SQL)


* Familiarity with Generative AI and prompt engineering basics (prompt design, evaluation, guardrails)


* Experience with modern analytics tools (for example, SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx)


* Ability to convey complex information to technical and non-technical audiences

Preferred qualifications, capabilities and skills


* Experience with large language model-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent...