Product Manager - AI/ML Solutions

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 pa...