Location: Plano, TX, United States

Join the team that plays a critical part in shaping and executing the firm's strategy for leveraging unstructured data assets to drive business value, enhance decision-making, and unlock new agentic opportunities across the organization.

As an Unstructured Data Senior Associate, within our Data and Analytics Team, you will build the foundation for how Chase turns unstructured information into trusted, reusable data products, defining the standards, controls, and roadmap that will make unstructured data easier to discover, publish, and use across teams and agents.

Job Responsibilities:

• Lead the development and implementation of strategies to identify, catalog, extract insights and publish data from unstructured data sources (documents, emails, images, audio, video, and other non-tabular formats)
• Partner with technology, data science, and business teams to define use cases and prioritize initiatives that maximize the value of unstructured data
• Design frameworks for unstructured data governance, quality, and lifecycle management, ensuring compliance with regulatory and internal policy requirements.
• Evaluate emerging technologies (natural language processing, computer vision, and large language models) for applicability to firm-wide unstructured data challenges
• Develop business cases, roadmaps, gap analysis and executive-level presentations to communicate strategy, progress, and ROI of proposed initiatives to senior stakeholders
• Mentor junior team members and contribute to a culture of innovation and continuous improvement within the data organization

 

Required qualifications, capabilities, and skills:

• 3+ years of experience in data strategy, data management, analytics, or a related discipline 
• Candidates must demonstrate excellent communication and stakeholder management skills with the ability to translate complex technical concepts for non-technical audiences, as well as strong project management skills with the ability to drive initiatives from concept through execution
• Strong understanding of unstructured data technologies and techniques such as NLP, OCR, text mining, and knowledge graphs is highly desired

 

Preferred qualifications, capabilities, and skills:

• A masters degree in computer science, data science, mathematics, or a related field is preferred

• Experience working in financial services, technology, or consulting industry is a plus

   

Leading the strategy and development of Unstructured Data Products for Consumer and Community Banking.