Data Science Vice President - Wealth Management

Aumni; Columbus (OH); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Health care coverage

On‑site health and wellness centers

Retirement savings plan

Tuition reimbursement

Job summary

JPMorganChase Wealth Management Decision Sciences is seeking a Data Science Lead to guide a team delivering analytics and ML solutions to improve client outcomes, product performance, and operational efficiency. You will partner with product, strategy, and operations leaders to frame problems, define success measures, and deliver insights for priority decisions.

You will stay hands‑on when needed, applying rigorous methodologies from descriptive analytics to advanced models, while coaching team

Qualifications

• Bachelor’s degree in a STEM‑related field.
• 5+ years delivering advanced analytics or data science solutions in a business setting.
• 2+ years of people management experience.
• Experience leading teams to deliver analytics and ML solutions that improve measurable business outcomes.
• Ability to translate ambiguous business questions into well‑defined analytical problem statements and success metrics.
• Hands‑on experience applying statistical and quantitative techniques (e.g., linear/logistic regression, decision trees, regularization, feature selection/diagnostics).
• Proficiency in developing analyses using modern data tools and programming (SQL and Python) and working with large datasets.
• Experience communicating complex analytical findings to senior stakeholders through clear recommendations and narratives.
• Ability to select simple or advanced methods based on problem complexity and value.

Responsibilities

• Partner with product, strategy, and operations teams to identify high‑impact opportunities and define measurable outcomes.
• Lead end-to-end analytics delivery, including problem framing, measurement design, insight generation, and executive‑ready storytelling.
• Build and scale ML solutions that improve client outcomes, product performance, and operational efficiency.
• Develop and refine modeling and trigger capabilities that improve operational processes.
• Analyze client behavior across segments and products to identify drivers of engagement, outcomes, and portfolio allocation patterns.
• Design and operationalize experimentation and test‑and‑learn frameworks to quantify impact.
• Evaluate client journeys and experience outcomes to identify improvement opportunities and value creation metrics.
• Identify and develop high‑value AI and agentic use cases that elevate analytical productivity and decision quality.
• Coach and develop team members through standards, feedback, performance management, and career growth.

Skills

Bachelor's degree in STEM

Analytics & data science

People management

ML & analytics delivery

Problem translation

Statistics & quantitative techniques

SQL & Python

Education

Master’s degree or PhD in quantitative field

Tools

SQL

Python

Job description

Data can change the way clients experience wealth management—when it is translated into decisions people can act on. In this role, you will lead a team that connects product, strategy, and operations to measurable outcomes through analytics, machine learning, and artificial intelligence. If you are energized by ambiguity and motivated by real-world impact, you will thrive here.

As a Data Science Lead at JPMorganChase within Wealth Management Decision Sciences, you will lead a team that delivers insights and machine learning solutions to improve client outcomes, product performance, and operational efficiency. You will partner with product, strategy, and operations leaders to frame problems, define success measures, and deliver recommendations that influence prioritization and investment decisions. You will apply the right level of analytical rigor—from descriptive analytics and visualization to advanced modeling—based on the business need, while remaining hands‑on in delivery.

Job responsibilities

• Partner with product, strategy, and operations teams to identify high-impact opportunities and define measurable outcomes
• Lead end-to-end analytics delivery, including problem framing, measurement design, insight generation, and executive-ready storytelling
• Build and scale machine learning solutions that improve client outcomes, product performance, and operational efficiency
• Develop and refine modeling and trigger capabilities that improve operational processes in a sustainable, scalable way
• Analyze client behavior across segments and products to identify drivers of engagement, outcomes, and portfolio allocation patterns
• Design and operationalize experimentation and test‑and‑learn frameworks to quantify impact and inform prioritization
• Evaluate client journeys and experience outcomes to identify improvement opportunities and value creation metrics
• Identify and develop high‑value artificial intelligence and agentic use cases that elevate analytical productivity and decision quality
• Coach and develop team members through clear standards, feedback, performance management, and career growth support

Required qualifications, capabilities and skills

• Bachelor’s degree in a STEM‑related field
• 5+ years of industry experience delivering advanced analytics or data science solutions in a business setting
• 2+ years of people management experience, including coaching, performance management, and team development
• Demonstrated experience leading teams to deliver analytics and machine learning solutions that improve measurable business outcomes
• Demonstrated ability to translate ambiguous business questions into well‑defined analytical problem statements and success metrics
• Hands‑on experience applying statistical and quantitative techniques (for example, linear regression, logistic regression, decision trees, regularization methods, and feature selection/diagnostics)
• Proficiency in developing analyses using modern data tools and programming (for example, SQL and Python) and working with large datasets
• Experience communicating complex analytical findings to senior stakeholders through clear recommendations and structured narratives
• Demonstrated ability to select appropriately simple or advanced methods based on problem complexity and expected business value

Preferred qualifications, capabilities and skills

• Experience supporting wealth management, investing, or self‑directed investing businesses
• Master’s degree or PhD in a quantitative field (for example, statistics, computer science, economics, or applied mathematics)
• Experience building and scaling experimentation programs (for example, A/B testing, causal measurement approaches, or quasi‑experimental design)
• Demonstrated continuous learning in data science and applied machine learning (for example, courses, conferences, or competitions)

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most‑used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting‑edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Lead a data science team delivering analytics and machine learning that improve client outcomes in wealth management.