JP Morgan Chase

Description: Join us to shape the future of customer engagement through data-driven insights and intelligent automation As a Customer Interaction Taxonomy Senior Associate in the AI/ML Solutions team within Data & Analytics, you will design, govern, and evolve the data taxonomy and semantic structures that unify Chase's customer interaction events across channels. You will collaborate across technology, product, and analytics teams to ensure interaction data is consistently described, discoverable, and usable for analytics, personalization, and machine learning applications. Job responsibilities: - Design, maintain, and evolve enterprise-wide taxonomy for customer interaction data - Implement consistent naming conventions and metadata standards for accurate event classification - Partner with business and technology teams to incorporate new interaction events into the taxonomy - Collaborate with engineering and analytics teams to deploy scalable semantic layers - Contribute to data modeling efforts supporting reporting, AI, and ML use cases - Support data and AI initiatives by enabling robust personalization and analytics - Develop and document methodologies, governance processes, and playbooks for taxonomy standards Required qualifications, capabilities, and skills: - 3+ of experience in product, business analyst, or data analyst roles within large-scale data environments - Expertise in taxonomy design, metadata management, or data modeling concepts - Strong analytical and problem-solving skills to translate complex data concepts into actionable structures - Proficiency in SQL or other querying languages for data validation and taxonomy mapping - Advanced Microsoft Excel and data organization skills with large, complex datasets - Experience working cross-functionally with product, analytics, and technology teams - Background in enterprise data strategy, taxonomy automation, or ontology development Preferred qualifications, capabilities, and skills: - Experience building or managing semantic layers, knowledge graphs, or business glossaries - Familiarity with data governance platforms or data warehouse solutions - Understanding of AI/ML frameworks such as reinforcement learning, embeddings, or vector database search - Bachelor's or Master's degree in Information Science, Data Analytics, Computer Science, or related discipline 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.Note : For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job. Please make sure you apply on the redirected page as well. (ref:iimjobs.com)