Data Scientist Lead-Vice President

JPMorganChase; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorganChase in New York seeks an experienced analytics leader to drive wealth management initiatives through data science, ML, and AI-powered decisioning.

You will lead a team connecting product, strategy, and operations to measurable outcomes, tackle ambiguity, and shape prioritization with senior stakeholders.

Qualifications

• BS Degree in a STEM field with 5+ years of analytics work.
• 2 years of people management experience including coaching and team development.
• Experience leading data science teams to deliver analytics and ML solutions that improve business performance.
• Ability to tailor analytical approaches to problem complexity, from descriptive analytics to ML/AI-based decisioning.
• Strong business acumen and ability to translate ambiguous questions into defined analyses and success metrics.
• Hands-on with statistical techniques (e.g., regression, decision trees, look-alike modeling).
• Able to coach teams on SQL, PySpark, and notebooks while focusing on solving problems.

Responsibilities

• Collaborate with product, strategy, and operations teams to provide analytics support for wealth management initiatives.
• Apply statistical methods and AI-assisted approaches to improve business outcomes.
• Lead end-to-end analytics delivery from framing to insight communication to executives.
• Develop analytics approaches for ML and trigger capabilities to scale operations.
• Analyze client usage across risk segments to understand relationship between risk appetite and portfolios.
• Operationalize experimentation to evaluate impact and inform prioritization.
• Identify AI and agentic use cases to improve productivity and customer outcomes.

Skills

People management

Data science leadership

Analytics & ML

Statistical methods

SQL / PySpark

Executive storytelling

Problem framing & measurement design

Education

BS Degree in STEM

Tools

SQL scripts

PySpark

Jupyter Notebooks

Job description

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. You will tackle high-impact questions, build scalable capabilities, and help shape how the business prioritizes what matters most. If you are energized by ambiguity and motivated by real-world impact, you will thrive here.

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. You will tackle high-impact questions, build scalable capabilities, and help shape how the business prioritizes what matters most. If you are energized by ambiguity and motivated by real-world impact, you will thrive here.

Job Responsibilities

• Collaborate with product, strategy, and operations teams to provide analytical support for wealth management initiatives and decision‑making
• Apply statistical methods, data analysis, and artificial intelligence-assisted approaches to solve business problems across product, financial, client engagement, and operational outcomes
• Lead end-to-end analytics delivery, from problem framing and measurement design through insight generation and communication to senior stakeholders
• Develop and refine analytics approaches for machine learning and trigger capabilities that improve the operations process in a scalable, sustainable way
• Analyze client usage across risk segments and products to understand relationships between risk appetite and portfolio allocations
• Operationalize experimentation frameworks to evaluate enhancements, quantify impact, and inform prioritization
• Assess client experience and journey outcomes, including artificial intelligence-enabled discovery, to identify improvement opportunities and measurable value creation
• Identify and develop high-value artificial intelligence and agentic use cases that improve analytical productivity, decision quality, portfolio allocations, and customer outcomes

Required Qualifications, Capabilities, And Skills

• BS Degree in an applicable STEM field and 5+ years of industry experience producing advanced analytics work.
• 2 years of people management experience, including performance management, coaching, and team development
• Demonstrated experience leading teams of data scientists to deliver analytics and machine learning solutions that improve business performance
• Ability to right-size analytical approaches to problem complexity, from descriptive analytics and visualization through machine learning and artificial intelligence-based decisioning
• Strong business acumen and critical thinking, with the ability to translate ambiguous questions into well-defined analytical problem statements and success metrics
• Hands‑on experience applying statistical and quantitative techniques (for example: decision trees, linear regression, logistic regression, ridge regression, multicollinearity analysis, string similarity, behavioral analytics, and look‑alike modeling)
• Effectively coach a team on both the computational aspects of big data as well as working with statistical models (e.g., complex SQL scripts, PySpark libraries or Jupyter Notebooks) while staying focused on solving problems, not just boosting model performance curves
• Know when the “juice is worth the squeeze” – you stay abreast of new applications in machine learning, deep learning, and AI but can recognize and apply the right analytic approach when the challenge you are solving is less complex
• Strong communication skills, with experience synthesizing insights and influencing stakeholders through clear recommendations and executive‑ready storytelling

Preferred Qualifications, Capabilities, And Skills

• Experience supporting wealth management, investing, or self-directed investing businesses
• Demonstrated growth mindset through ongoing learning (for example: industry podcasts, staying current on new methods, or participation in data science competitions and conferences such as Knowledge Discovery and Data Mining)

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 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. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.

About The Team

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.