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Director, Data Engineering (Machine Learning Observability Lead)

Travelers

Hartford, CT, U.S.
Full-time, Hybrid
Posted Sep 27, 2025
Hybrid

Compensation

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About the role

This ML Observability Lead role will build out a centralized platform for ML and GenAI observability across Business Insurance’s portfolio of models

Responsibilities

  • Lead development of analytic data products
  • Execute data strategies with an understanding of enterprise architecture
  • Manage the operationalizing and automating of all capabilities
  • Present analysis and recommendations to help influence management decisions
  • Guide and coach team members to accelerate career development
  • Establish team processes and procedures
  • Maintain relationships with partner teams to ensure needs are met

Requirements

  • Bachelor’s Degree in STEM related field or equivalent
  • 5+ years of relevant professional experience
  • 2+ years of management or leadership experience
  • Experience with Machine Learning and ML Operations
  • Proficiency in ML monitoring and observability practices
  • Proven ability to define and drive ML Ops strategy
  • Skilled in building dashboards for model and data insights
  • Experience with model monitoring and performance tracking
  • Familiarity with Generative AI and Large Language Models (LLMs)
  • Hands-on experience deploying and implementing machine learning models
  • Knowledge of data logging and data capture methodologies
  • Strong leadership and team management capabilities
  • Experience with AWS Cloud services, including Databricks, CloudWatch, and SageMaker
  • Advanced knowledge of data tools, programming languages, cloud platforms, and data manipulation techniques

Benefits

  • Health Insurance
  • 401k matching
  • Pension Plan
  • Paid Time Off
  • Wellness Program
  • Volunteer Encouragement

About the Company

Taking care of our customers, our communities and each other. That’s the Travelers Promise

Job Details

Salary Range

$135,700 - $223,900/yearly

Location

Hartford, CT, U.S.

Employment Type

Full-time, Hybrid

Original Posting

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