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Chase · 1 day ago

VP – Data Business Analyst Lead

545 Washington Blvd, Jersey City, NJ, 07310, US

Full-time

Onsite

Senior Level

$128K/yr - $205K/yr

Chase is one of the oldest financial institutions, offering innovative financial solutions. They are seeking a VP – Data Business Analyst Lead to drive strategic data solutions across the Commercial & Investment Bank, collaborating with stakeholders to define and deliver core data solutions.

BankingFinancial Services

Responsibilities

Define strategic solutions and designs for contact data informed from Business use case gathering, focusing on delivering business value for strategic initiatives like CRM

Gather, analyze, and document business requirements partnering with business stakeholders across Wholesale businesses & CRM teams

Lead stakeholder meetings, including preparation and presentation of data models and solutions

Support the adoption of the strategic Core data model from onboarding to downstream business processing, working with cross-functional teams

Develop business cases as needed for prioritization of technology build or enhancements and engage in the annual budgeting process

Qualification

Core data knowledgeProduct Management experienceAgile disciplinesAnalytical skillsStakeholder managementRelationship managementData modelingTime managementProblem-solving skillsCommunication skills

Required

Bachelor's degree and experience in delivering technical and/or operational change

Knowledge of Core data and client onboarding processes

Excellent analytical skills, with the ability to present fact-based recommendations in a clear, logical, and concise way: 'tell a story' with data

Strong time management skills, efficient at multi-tasking, and able to work under pressure to deliver multiple business demands on time, to a high-level standard

Knowledge of Commercial & Investment Bank businesses

Excellent relationship management, team leadership, and influencing skills

Experience in Product Management and Agile disciplines

Ability to work in a highly dynamic environment with changing and multiple priorities

Ability to understand logical data models and work with data architects to translate conceptual models to logical models

Confidence in communicating internally at all levels

Analytical and problem-solving skills