Product Manager, Databricks Experimentation Platform

Key Responsibilities

• Define and own the product strategy roadmap and vision for Databricks Model Experimentation capabilities ensuring alignment with CCBs 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 yearsof product management experience including3 yearsleading product strategy and delivery for alarge-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.