JPMorgan Chase

Compensation

Full Description

The Corporate and Investment Banking (CIB) Core Data team is a business-focused group dedicated to delivering high-quality, compliant core data that unlocks value for stakeholders. The team oversees the strategy and execution of the firm’s core data agenda, managing key systems of record and data management products—including External Parties, Internal Parties, Taxonomies, Instrument Data (with a strategic focus), and Reference Data as a Service capabilities such as search, identity resolution, and history. By partnering with business leaders, operations, and technology, the team designs and maintains scalable, resilient data architecture to drive measurable business results. As a Senior Business Analyst within the Corporate and Investment Banking Core Data team, you will drive the Client 360 / CRM program to deliver a unified, high-quality view of client and investment relationships across the wholesale banking organization. You will play a pivotal role in shaping data products and strategies that enable business stakeholders to answer critical questions about client exposure, financials, and relationship networks. Key Responsibilities Lead initiatives to harmonize and aggregate client, account, and investment relationship data across Commercial and Investment Banking lines of business. Develop and maintain conceptual and logical data models for party, account, and investment structures, ensuring alignment with industry standards and regulatory requirements. Map and analyze complex investment hierarchies, including sponsors, funds, portfolio companies, and partners. Design solutions to capture and visualize ownership structures, financial flows, and relationship networks. Identify, assess, and recommend external and internal data vendors for party, financial, and relationship data. Evaluate vendor data quality, coverage, and suitability for strategic business needs. Gather and document business logic, rules, and data aggregation requirements from senior stakeholders. Ensure data products reflect industry best practices and support key business questions, such as total exposure, client coverage, and meeting tracking. Prepare and deliver executive-level presentations and recommendations. Lead cross-functional meetings to solicit feedback, scope initiatives, and drive adoption of strategic data models. Explore opportunities to leverage artificial intelligence and large language models (AI/LLM) for data solution design. Support agile product management and drive ongoing enhancements to data architecture and business processes. Required Qualifications, Capabilities and Skills 15+ years of experience in technical or operational change within wholesale banking, investment banking, or related financial services. Deep understanding of party and account data, client onboarding, investment relationships, and financial metrics in a wholesale banking context. Proven ability to design and translate conceptual data models to logical models in partnership with data architects. Experience identifying and evaluating data vendors for financial and relationship data. Strong analytical, executive communication, and stakeholder management skills. Track record of leading teams, mentoring analysts, and delivering business value in dynamic environments.