Senior Director, Data Engineering - MLOps Lead

Who Are We?

Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.

Technology

Compensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Salary Range$153,700.00 - $253,700.00

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The MLOps Lead will lead the advancement of Business Insurance's MLOps and LLMOps practices across the full modeling lifecycle, driving end-to-end automation, observability, and scalability of our predictive models. This role will lead a small team of engineers and own and execute a technical roadmap focused on deployment automation, feature management, model monitoring & observability, and tools for GenAI and agentic solutions. They will partner closely with data scientists, architects, and technology teams to help shape Business Insurance's MLOps strategy, streamline processes, and standardize implementation patterns to accelerate the delivery of high-quality, reliable ML and AI solutions at scale.What Will You Do?

• Execute data strategies to support various consumption patterns and identify enterprise architecture, platform, and application infrastructure needs.
• Drive the operationalizing and automating of all capabilities to ensure secure, supported and scalable solutions.
• Present analysis and recommendations to help influence management and executive leadership decisions.
• Guide and coach senior team members to accelerate career development.
• Establish budgets, policies and practices with significant impact on area operations.
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Bachelor’s Degree in STEM related field or equivalent.
• Eight or more years of related work experience.
• Four or more years of team leadership experience.
• MLOps Leadership:  Proven experience advancing MLOps implementation and deployment practices from foundational to mature operational states.
• Strategic Execution:  Demonstrated ability to lead cross-functional execution while contributing to strategic planning and organizational direction.
• People Management:  Experience managing technical teams of 3-4 direct reports, with capability to oversee Director-level personnel as the organization scales.
• AI/ML Expertise:  Strong background in artificial intelligence and machine learning with depth exceeding traditional data engineering experience.
• Technical Proficiency:  Hands-on experience with industry-standard ML frameworks and platforms, including:
  • Cloud ML Services (AWS SageMaker)
  • Data Science Platforms (Databricks)
  • Machine Learning Algorithms (Gradient Boosting Models)
  • Deep Learning Frameworks (PyTorch, TensorFlow)
  • DevOps Practices (CI/CD, Automated Deployment, Automated Testing)
• Future-Ready Skills:  Interest and aptitude for emerging technologies including Large Language Models (LLM's), Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG) Systems.
• Subject matter expertise in data tools, techniques, and manipulation including cloud platforms, programming languages, and technology platforms.

What is a Must Have?

• Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
• 7 additional years of data engineering experience.
• 2 years of technical leadership experience.