Join JPMorgan Chase's Machine Learning & Intelligent Operations (MLIO) team as a Vice President, Product Manager. Lead the charge in transforming customer service and personalization through innovative AI and machine learning solutions. Be part of a dynamic team dedicated to elevating both customer and employee experiences.
As a Product Manager within MLIO, you will define and execute the strategy for cutting-edge machine learning products. You will lead cross-functional teams to modernize service experiences for tens of millions of customers. Your focus on customer and employee needs will drive priorities and maximize product value.
- Define the product strategy, roadmap, prioritization, and backlog for machine learning applications.
- Analyze customer journey/friction points and feedback across various channels to drive product feature prioritization.
- Lead agile product teams that include product managers, data scientists, machine learning engineers, and data analytics members.
- Manage existing product features and actively lead the research, definition, and development of new features to advance the product roadmap and performance.
- Maximize product value delivered through backlog creation, management, and prioritization of epics and user stories.
- Partner with user research and business/operations teams to analyze and ideate customer experience, behavior, and improvement opportunities.
- Prioritize strategies and solutions to enhance self-service utilization and reduce customer contact volume.
- Collaborate with Controls/Risk, Audit, Compliance, Data & Model Governance, and Technology to ensure readiness to deliver on the product roadmap.
- Stay abreast of industry trends, emerging technologies, and best practices in AI and machine learning to continuously improve product offerings.
- Foster a culture of innovation, collaboration, and continuous improvement within the team.
Required qualifications, capabilities, and skills:
- 6+ years of experience in Technical Product Management, ideally with AI/ML-related products.
- Proven experience leading multi-disciplinary teams in a large, matrixed organization and fast-paced agile development environment.
- Demonstrated ability to make strategic decisions while candidly challenging the status quo to drive the right employee and customer outcomes.
- Applied experience in a variety of AI and machine learning techniques and technologies.