Product Director

JPMorgan Chase • New York, NY

3d

About The Position

As a senior leader, you will partner closely with engineering, architecture, compliance, and business stakeholders to ensure alignment with enterprise standards and operational excellence. Your leadership will accelerate AI/ML adoption and deliver measurable business impact through robust, scalable platform capabilities. We are seeking a seasoned Product Manager to lead the strategic vision and execution of the Feature Store and Model Experimentation capabilities within Consumer and Community Banking. This role is critical to enabling scalable, secure, and compliant AI/ML workflows leveraging Databricks as the foundational technology. You will drive cross-functional collaboration, platform migrations, and product innovation to empower data scientists and engineers with best-in-class tools for feature engineering, model experimentation, and lifecycle management

Requirements

• 8 years of product management experience, with at least 3 years in a leadership role managing complex AI/ML or data platform products.
• Deep expertise in AI/ML platform capabilities, specifically feature stores, model experimentation, and lifecycle management.
• Strong hands-on knowledge of Databricks and its ecosystem, including experience with platform migrations and integrations.
• Proven track record of delivering enterprise-grade AI/ML solutions in highly regulated environments.
• Demonstrated ability to lead cross-functional teams in matrixed organizations, managing dependencies and mitigating risks effectively.
• Excellent communication skills with the ability to influence senior leadership and diverse stakeholders.
• Strong strategic thinking and customer-centric mindset, with a focus on scalability, security, and operational excellence.
• Experience with observability, monitoring, and governance frameworks for AI/ML workloads.

Nice To Haves

• Prior experience in financial services or similarly regulated industries.
• Knowledge of compliance frameworks related to AI/ML and data security.
• Strong understanding of market trends and emerging technologies in AI/ML infrastructure.

Responsibilities

• Define and own the product strategy, roadmap, and vision for Feature Store and Model Experimentation capabilities, ensuring alignment with AI/ML platform goals and enterprise compliance requirements.
• Lead end-to-end product lifecycle management, including discovery, requirements definition, prioritization, and delivery of scalable, secure, and compliant AI/ML platform features.
• Drive the migration and integration of Databricks-based solutions, identifying dependencies, mitigating risks, and coordinating with cross-functional teams to ensure seamless execution.
• Collaborate with data science, engineering, architecture, and compliance teams to embed governance controls into product design and operations.
• Champion observability, monitoring, and operational resilience for feature store and experimentation workflows to ensure platform stability and reliability.
• Engage with internal customers and stakeholders to gather feedback, understand evolving needs, and translate them into actionable product enhancements.
• Lead vendor evaluation and selection processes related to feature store and model experimentation technologies, ensuring alignment with strategic and compliance requirements.
• Communicate product vision, progress, and challenges transparently to senior leadership and critical partners, driving consensus and resource prioritization.
• Foster a culture of innovation, continuous improvement, and collaboration across product, engineering, and architecture teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees