Data Science Vice President - Card Data Analytics

慨正橡扯; Wilmington (DE); On-site; USD 120,000 - 150,000; Full time

Job summary

JPMorganChase in Wilmington, DE is seeking a Data Science Vice President to lead analytics and AI/ML initiatives within the Card Data & Analytics team. The successful candidate will drive data science strategies, develop high-quality analytical products, and leverage modern analytics tools. With a minimum of 5 years of relevant experience, you must possess strong analytical skills and formal training in software engineering concepts. The role offers a collaborative environment where your contributions directly improve customer experiences.

Qualifications

• 5+ years of data analytics experience or advanced degree with 2+ years.
• Exceptional analytical, quantitative, and problem-solving skills.
• Intellectual curiosity for solving business problems.

Responsibilities

• Drive data science and analytics strategies.
• Build an understanding of problem domains and available data assets.
• Code solutions using strong programming skills.

Skills

Analytical skills

Problem-solving

Communication skills

Leadership

Statistical software (Python, R, SAS)

Data querying (SQL)

Generative AI

Modern analytics tools (Hive, Hadoop, Spark, Tableau, Alteryx)

Education

Bachelor's degree in a relevant quantitative field

Master of Science degree or equivalent

Tools

Python

R

SAS

SQL

Tableau

Alteryx

Job description

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-like workflows; exposure to evaluation methods for quality, cost, and latency
• Understanding of key drivers within the credit card profit and loss statement
• Financial services background
• Master of Science degree or equivalent

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans.