Product Manager - Machine Learning & Intelligence Operations

Location: Columbus, OH, United States

Job Family: Product Management

About the Role

At JP Morgan Chase, we are at the forefront of leveraging machine learning and intelligence operations to transform financial services, delivering innovative solutions that enhance customer experiences, mitigate risks, and drive operational efficiency. As a Product Manager on the Machine Learning & Intelligence Operations team in Columbus, OH, you will play a pivotal role in shaping the future of AI-driven products within one of the world's largest financial institutions. This position offers the opportunity to work on high-impact initiatives, such as developing ML models for real-time fraud detection, personalized banking insights, and predictive analytics for investment strategies, all while navigating the complexities of a highly regulated environment. In this role, you will lead the product lifecycle from concept to deployment, collaborating closely with data scientists, software engineers, and business leaders across JP Morgan Chase's diverse lines of business. You will define product requirements, prioritize features based on business value and technical feasibility, and ensure seamless integration of ML solutions into our core banking platforms. Your work will directly contribute to enhancing our intelligence operations, enabling faster decision-making and superior risk management in areas like credit underwriting and market forecasting. We seek a strategic thinker with a passion for technology and finance, capable of bridging technical complexities with business needs. Join us to innovate responsibly, uphold the highest standards of data privacy and ethical AI practices, and be part of a team that's redefining the intersection of machine learning and global finance at JP Morgan Chase.

Key Responsibilities

• Define and drive the product roadmap for machine learning and intelligence operations, aligning with JP Morgan Chase's strategic goals in financial services
• Collaborate with data scientists and engineers to develop scalable ML models for risk assessment, fraud detection, and customer intelligence
• Oversee the end-to-end lifecycle of ML products, from ideation to deployment and monitoring in production environments
• Ensure compliance with financial regulations and internal governance standards for AI and data usage
• Gather requirements from stakeholders across lines of business, including retail banking, investment management, and corporate finance
• Analyze market trends and competitive landscapes in AI for finance to inform product strategy
• Lead prioritization of features using data-driven insights and business impact metrics
• Facilitate cross-team workshops and sprint planning to accelerate delivery of intelligence operations tools
• Monitor product performance using KPIs like model accuracy, latency, and ROI in financial applications

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; advanced degree preferred
• 5+ years of experience in product management, with a focus on machine learning or AI-driven products
• Proven track record of delivering machine learning solutions in a regulated industry such as financial services
• Strong understanding of machine learning operations (MLOps) and intelligence platforms
• Experience collaborating with cross-functional teams including data scientists, engineers, and compliance experts
• Knowledge of financial regulations like GDPR, CCPA, and banking-specific compliance standards

Preferred Qualifications

• MBA or Master's in a quantitative field
• Experience in agile methodologies and tools like Jira or Confluence
• Prior work at a major financial institution or fintech company
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for ML deployments

Required Skills

• Product roadmap development and prioritization
• Machine learning frameworks (e.g., TensorFlow, PyTorch)
• MLOps tools (e.g., Kubeflow, MLflow)
• Data analytics and visualization (e.g., Tableau, Power BI)
• Agile and Scrum methodologies
• Stakeholder management and communication
• Financial domain knowledge (e.g., risk modeling, fraud analytics)
• Cloud computing (AWS, Azure)
• Python or R programming for data handling
• SQL for database querying
• Problem-solving and analytical thinking
• Regulatory compliance awareness in finance
• Cross-functional team leadership
• User experience design principles for AI products

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company matching
• Paid time off including vacation, sick days, and parental leave
• Professional development programs and tuition reimbursement for advanced certifications
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness programs at Columbus campus
• Flexible work arrangements including hybrid options

JP Morgan Chase is an equal opportunity employer.