Product Manager, Databricks Experimentation Platform

Key Responsibilities


* Define and own the product strategy, roadmap, and vision for Databricks Model Experimentation capabilities, ensuring alignment with CCB's 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 AI/ML model 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 model experimentation, 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.

Required Qualifications and Skills


* 8+ years of product management experience, including 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).


* 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


* 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.

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