Lead Product Manager

Overview

We are seeking a highly motivated MRM Product Lead with hands-on experience in building and deploying scalable Model Risk Management (MRM) solutions in Databricks using MLflow.

The ideal candidate can build robust models, operationalize them using modern MLOps practices, design scalable data pipelines within cloud-native environments, and embed regulatory-grade model risk controls across the model lifecycle.

Required Qualifications

• Strong expertise in Databricks for end-to-end ML workflows aligned to MRM standards
• Productionize ML models using MLflow for experiment tracking, model registry, lifecycle management, and model validation artifacts
• Design and implement model validation frameworks (performance, stability, bias, and explainability)
• Implement CI/CD pipelines for ML workflows with integrated model risk controls and approvals
• Monitor model performance, drift, and stability metrics aligned to MRM policies
• Manage version control for models, features, and validation evidence
• Ensure reproducibility, traceability, and governance of models for audit and regulatory review
• Manage feature pipelines and model retraining strategies with documented thresholds and triggers
• Knowledge of Unity Catalog for data governance, lineage, and access control
• Solid understanding of model lifecycle, from data ingestion to production deployment, including independent validation and ongoing monitoring
• Partner with risk, compliance, and audit stakeholders to operationalize MRM requirements
• Communicate model risk insights clearly to technical and business stakeholders

Technical Skills

• Strong programming skills in Python (pandas, NumPy, scikit-learn, etc.)
• Hands-on experience with Databricks (Spark, notebooks, jobs) for regulated ML workflows
• Working knowledge of MLflow for model lifecycle management and validation documentation
• Experience implementing governance using Unity Catalog (lineage, access control, data classification)
• Strong SQL proficiency for data quality checks and risk reporting
• Understanding of distributed computing concepts in regulated environments
• Familiarity with explainability, bias detection, and model monitoring techniques (e.g., SHAP, PSI, CSI)

Soft Skills

• Strong problem-solving and analytical skills with a risk-first mindset
• Ability to translate MRM and regulatory requirements into scalable technical solutions
• Strong communication and documentation capabilities for audit-ready deliverables
• Ability to work in cross-functional agile teams including data science, risk, validation, and compliance