Product Manager - AI/ML Solutions

JPMorgan Chase & Co.•Wilmington, DE

2h•$122,550 - $201,000

About The Position

You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. As a Product Manager in Data and Analytics, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations. We are seeking a seasoned Product Manager to lead the strategy and delivery of a Databricks-based Model Experimentation Platform that enables scalable, secure, and compliant AI/ML development across Consumer & 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

5+ years of experience or equivalent expertise in product management or a relevant domain area
3+ years leading product strategy and delivery for a large-scale Databricks-based AI/ML platform (e.g., model experimentation, MLflow, feature engineering, governance, and platform operations).
Advanced knowledge of the product development life cycle, design, and data analytics
Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
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

Demonstrated prior experience working in a highly matrixed, complex organization
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

Develops a product strategy and product vision that delivers value to customers
Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
Drives the migration and integration of Databricks-based solutions, identifying dependencies, mitigating risks, and coordinating with cross-functional teams to ensure seamless execution.
Collaborates with data science, engineering, architecture, and compliance teams to embed governance controls into product design and operations.
Champions observability, monitoring, and operational resilience for AI/ML model experimentation workflows to ensure platform stability and reliability.
Engages with internal customers and stakeholders to gather feedback, understand evolving needs, and translate them into actionable product enhancements.
Leads vendor evaluation and selection processes related to model experimentation, ensuring alignment with strategic and compliance requirements.
Communicates product vision, progress, and challenges transparently to senior leadership and critical partners, driving consensus and resource prioritization.
Fosters a culture of innovation, continuous improvement, and collaboration across product, engineering, and architecture teams.