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Chase · 2 months ago

Digital Markets Sales Applied AI and Insights - Product Manager - Executive Director

270 Park Ave, New York, NY, 10017, US

Full-time

Onsite

Director/Executive

$152K/yr - $350K/yr

Chase is a global leader in investment banking and financial services, and they are seeking a Product Manager – Sales Applied AI & Insights Executive Director to drive product innovation. This role involves leveraging emerging technologies to create unique products, enhancing user engagement, and collaborating with various stakeholders to ensure product success.

BankingFinancial Services

Responsibilities

Define and articulate a compelling product vision and strategy, establishing a clear roadmap

Develop user journey mapping and end-to-end requirements

Drive compliance approvals and collaborate closely with Controls partners

Own product adoption targets and maintain regular user engagement

Collaborate with internal stakeholders to gather requirements, prioritize features, and serve as the liaison between sales business units and QR, Data Science, and Technology teams

Partner with the Chief Data Office to ensure data assets are available and data quality issues are addressed

Implement innovative, data-driven insights using GenAI solutions

Qualification

Product managementFinancial Services knowledgeProduct development lifecycleData analyticsCloud computingMachine learning lifecycleData analysisLeadership skillsCommunication skillsInterpersonal skills

Required

Extensive experience in product management or a relevant domain

Extensive understanding of Financial Services and its various Lines of Business

Extensive knowledge of the product development lifecycle, design, and data analytics

Proven ability to lead product lifecycle activities, including discovery, ideation, strategic development, requirements definition, and value management

Experience leveraging data assets to generate unique insights

Proficiency in cloud computing and architecture, ML platform processes, and tools spanning data ingestion, engineering, quality, orchestration, infrastructure, usage/consumption, and data privacy/governance

Experience with the ML development lifecycle (MDLC), including annotation, model training, serving, scoring, pre/post-processing, productionization, and feedback capture

Excellent leadership, communication, and interpersonal skills

Strong data analysis skills and familiarity with relevant tools and technologies

Experience in leading teams