Senior Manager, ML Governance & MLOps Standards

Ralph Lauren Corporation; Nutley (NJ); On-site; USD 180,000 - 250,000; Full time

Job summary

Ralph Lauren is seeking a senior leader to build and run the MLOps, governance, and productionization capabilities for Decision Science. You will establish standards, pipelines, and lifecycle controls while partnering with Data Products and Engineering to industrialize solutions on Databricks.

The role emphasizes governance, model risk, and scalable production patterns across global markets. You will lead a team, drive adoption of best practices, and enable fast, trusted ML delivery.

Qualifications

• 10+ years in ML engineering, MLOps, or related fields with leadership experience.
• Hands-on with end-to-end ML lifecycle: tracking, registry, CI/CD, deployment, monitoring.
• Experience with Databricks and MLflow; cloud-native ML architectures.
• Ability to define standards and drive adoption across large teams.
• Strong partnerships with Data Products, Engineering and Security.

Responsibilities

• Lead MLOps strategy and operating model for Decision Science.
• Define production standards for reproducibility, docs, testing, approvals.
• Develop Databricks/MLflow production patterns reusable across teams.
• Coordinate interfaces with Data Products and Engineering for data readiness and pipelines.
• Establish model observability with dashboards and escalation paths.

Skills

ML Ops

Databricks/MLflow

Observability for ML

GenAI/LLMOps

Enterprise deployment

Leadership

Tools

Databricks

MLflow

Job description

Ralph Lauren is seeking a senior leader to build and run the MLOps, governance, and productionization capabilities for Decision Science. You will establish standards, pipelines, and lifecycle controls while partnering with Data Products and Engineering to industrialize solutions on Databricks.

The role emphasizes governance, model risk, and scalable production patterns across global markets. You will lead a team, drive adoption of best practices, and enable fast, trusted ML delivery.