Digital Markets- Sales Applied AI & Insights - Vice President

J.P. Morgan; City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading global financial services firm is seeking a Product Manager – Sales Applied AI & Insights Vice President. In this pivotal role, you will influence the development of innovative products by leveraging technologies like GenAI. The ideal candidate will have extensive experience in product management and a strong understanding of Financial Services. The job entails defining product vision, driving user engagement, and collaborating with various stakeholders to ensure successful product launches.

Qualifications

• Extensive experience in product management or a relevant domain.
• Deep understanding of Financial Services.
• Proficiency in cloud computing and architecture.
• Strong data analysis skills.

Responsibilities

• Define and articulate a compelling product vision and strategy.
• Develop user journey mapping and end-to-end requirements.
• Own product adoption targets and maintain regular user engagement.
• Collaborate with stakeholders to gather requirements and prioritize features.

Skills

Product management

Financial Services knowledge

Data analysis

Cloud computing

Leadership

Tools

Data analytics tools

ML platforms

Job description

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