Are you passionate about shaping the future of product innovation? As a core leader, you will drive value for sales, guide successful product launches, and consistently exceed expectations. Join our high-performing Digital Sales Products Team and make a meaningful impact by delivering high-quality products that transform the way we do business within Markets. 
 
As a Product Manager – Sales Applied AI & Insights Vice President – in Digital Sales, you will play a pivotal role in leveraging emerging technologies such as GenAI to create unique products and actionable insights. You will serve as the voice of sales, influencing the development of cutting-edge products by the Applied AI team. Your responsibilities include driving user engagement, connecting with users and stakeholders to ensure adoption, mapping feedback to product enhancements, and proactively identifying key features to further advance our products. 

Job 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 

Required qualifications, capabilities, and skills: 

Extensive experience or equivalent expertise in product management or a relevant domain 

Deep understanding of Financial Services and its various Lines of Business 

Advanced 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 

Preferred qualifications, capabilities, and skills 

Prior experience working in a highly matrixed, complex organization 

Thorough understanding of machine learning and approaches to building a business development plan 

Demonstrated ability to market products and collaborate with customers, stakeholders, and all levels of management 

Ability to explain machine learning governance effectively