What are the responsibilities and job description for the Product Manager - AI/ML Solutions position at JPMorgan Chase?
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.
Job 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.
Required qualifications, capabilities, and skills
- 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.
Preferred qualifications, capabilities, and skills
- 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.