Senior MLOps & Governance Leader (Hybrid)

Brobston Group; Nutley (NJ); Hybrid; USD 94,000 - 178,000; Full time

Benefits offered by this job

Hybrid work model

Incentive pay

Learning opportunities

Above-market time off

Job summary

Ralph Lauren Corporation seeks a senior MLOps leader to build the governance framework for Decision Science and to industrialise ML solutions across markets. You will design standards, approvals, lineage and monitoring, and partner with Data Products and Engineering to scale Databricks-based production patterns.

You will lead a cross-functional team, hire and mentor talent, and ensure governance enables speed, trust and reuse while meeting risk and model-quality requirements worldwide.

Qualifications

• 10+ years of experience across machine learning engineering, MLOps, data/ML platforms or related engineering disciplines.
• Hands-on understanding of end-to-end ML lifecycle design: experiment tracking, model registry, CI/CD/CT, deployment, monitoring, drift, retraining and retirement.
• Strong experience with Databricks and MLflow; cloud-native data/ML architectures and orchestration patterns.

Responsibilities

• Lead MLOps strategy and governance across Decision Science.
• Establish data science and MLOps standards including reproducibility, documentation and approvals.
• Collaborate with Data Products and Engineering to industrialise solutions on Databricks.
• Define interfaces with Data Products and Engineering for data readiness and production pipelines.
• Create governance templates, automated checks and platform controls to accelerate compliant delivery.

Skills

MLOps leadership

Databricks

MLflow

Machine learning engineering

Governance frameworks

Model risk & responsible AI

CI/CD for ML

Leadership experience

Cross-functional collaboration

Cloud-native architectures

Tools

Databricks

MLflow

APIs & containers

Job description

Ralph Lauren Corporation seeks a senior MLOps leader to build the governance framework for Decision Science and to industrialise ML solutions across markets. You will design standards, approvals, lineage and monitoring, and partner with Data Products and Engineering to scale Databricks-based production patterns.

You will lead a cross-functional team, hire and mentor talent, and ensure governance enables speed, trust and reuse while meeting risk and model-quality requirements worldwide.