Data Scientist Lead

Job Description
If you are looking for a unique opportunity to have meaningful impact on a large scale at a leading financial services firm then this is your chance.
As a Data Scientist Lead within the Consumer and Community Banking (CCB) Data & Analytics Data Strategy and Product organization, you will be an integral part of the External Data Team, reporting directly to the External Data Product Owner. You will work to establish and maintain strong partnerships with data suppliers, ensuring that JPMC's data needs are fulfilled with high-quality and dependable sources. Your role will involve collaborating with suppliers to modernize metadata and facilitate cloud-based data delivery and publishing. Additionally, you will support the External Data Solutions Lab team, which is tasked with sourcing, evaluating, and onboarding external datasets, models, and capabilities to address existing data gaps and align with strategic priorities for CCB lines of business. This position offers the opportunity to engage with both internal business stakeholders and external data suppliers, contributing to the broader external data strategy.
Job Responsibilities

• Assisting in the management of external data cloud publishing requests, ensuring processes that prioritize viability, quality, accuracy, and usability.
• Modernizing the delivery and availability of external data for internal analysts and modelers in collaboration with an engineering team that supports cloud to cloud data publishing.
• Serving as a technical liaison by facilitating effective communication and understanding between the internal product team, engineering team, and data users.
• Assisting in the design and implementation of processes for extracting, transforming, loading, and refining metadata from a legacy semantic repository into a contemporary data discovery solution.
• Clearly communicating proposed scope and status of data management and publishing requests to drive superior customer experience for all stakeholders.
• Collaborating with internal teams to refine a large language model (LLM) solution that enhances metadata discovery for external data products.

Required qualifications, skills and capabilities

• Bachelor's degree with 5+ years of experience in data & analytics or equivalent
• Experience in financial services, data and analytics, technology, or relevant start up environment
• Experience or familiarity with fundamentals of cloud computing and providers (AWS, Snowflake, Azure, GCP)
• Outstanding analytical and problem solving skills (problem structuring, driving to an answer, having a point of view) as well as a determination to become a subject matter expert within a respective field
• Ability to understand and communicate business strategy with both internal stakeholders and external suppliers, adjusting communication style based on the audience
• Strong project management skills with the ability to manage multiple projects and prioritize work within a multi-disciplinary team setting
• Demonstrates detail-oriented work, ensuring accuracy and consistency over time
• Ability to work effectively in cross-functional teams, ensuring project progress and alignment with organizational goals
• Able to manage and own a work plan autonomously

Preferred qualifications, skills and capabilities

• Experience in building data pipelines and/or data management (preferred)
• Experience working with external suppliers and sourcing external data (preferred)
• Technical experience in Apache Spark and programming languages such as Python and Java (preferred)
• Familiarity or experience with GenAI solutions and how they can be effectively used as emerging solutions within financial services (preferred)

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 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.
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.