Data Domain Architect Lead

Machine Learning and Artificial Intelligence play a critical role in transforming Consumer and Community Banking Operations. The ability to utilize data in meaningful ways allows us to develop solutions which both our customers and employees can benefit from. Customers expect tailored servicing and Chase is looking to deliver personalization to meet their needs. This is powered by high-quality annotated data and detailed annotation schemes that are the backbone of impactful Artificial Intelligence/Machine Learning ( AI/ML)L algorithms and applications.As a Data Domain Architect Lead within the Data Annotation team , you will use your domain expertise and people-leading experience to partner your team closely with teams in Data Science, Analytics, and Engineering to develop machine learning solutions. This will involve the collection, curation, annotation, enrichment, and validation of data and the development of taxonomies and other linguistic resources to help train machine learning models, drive insight, analysis, and possible content creation.Job responsibilitiesManage and coach a team of Machine Learning Data Domain analysts to support data annotation and label data/content using annotation tools and analysisPartner with leads in Data Science, Engineering, and Analytics to develop strategies to optimize training data for machine learning modelsLead efforts to identify patterns and trends in conversational data through Natural Language Processing and/or other computational linguistic approachesCollaborate with stakeholders on evaluating the quality of machine learning classification and other outputActively contribute to the team’s continuous learning mindset by bringing in new ideas and perspectives that stretch the thinking of the groupRequired qualifications, capabilities, and skills6+ years of related experience in development of machine learning solutionsFamiliar with industry annotation and labeling methodsExperience with various data modeling techniques and toolsFamiliar with Finance and Banking productsBroad expertise in data technologies; i.e., data warehousing, data processing, data quality concepts, Business Intelligence tools and analytical tools, unstructured data, machine learningExcellent analytical and problem-solving skills and the ability to pay close attention to detailExperience using Python in working with and analyzing large real-world datasetsWorking knowledge of information and data retrievalWorking knowledge of machine learning and artificial intelligence paradigms and librariesFamiliar with Large Language Models (LLMs) and prompt engineeringPreferred qualifications, capabilities, and skillsMasters or PhD in a related field, or Bachelors Technical understanding of common relational database systems; i.e., Teradata and OracleExcellent command of the Structured Query Language (SQL)Knowledge of SAS or Scala, and Python languagesKnowledge of Advanced StatisticsAdvanced analytical thinking and problem-solving skillsStrong interpersonal & communication skillsChase 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. Full timePosting Date: 2026-09-08