AVP, Claim Workers Compensation and AI Data Science 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 160 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.

Job Category

Data Science

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

$178, - $294,

Target Openings

What Is the Opportunity?

Our Claim Research organization is in search of an AVP to lead our AI / Generative AI and Workers Compensation Predictive Analytics initiatives.

This dynamic leader will direct the teams developing advanced analytic solutions supporting our Workers Compensation Claim handling processes and various AI-related initiatives.

We seek a candidate who excels in creating AI and Machine Learning models, demonstrates exceptional leadership and management skills to steer analytic teams focused on delivering business value, and can clearly communicate complex topics to senior audiences.

Join our team and help advance our mission to lead the industry with reimagined, personalized claims experiences through innovation and leading technology!

The implementation of machine learning (ML) models and artificial intelligence (AI) solutions in property and casualty insurance is rapidly advancing.

Advanced analytics are being employed to help with straight through processing of operations, early detection of significant claim events, severity, and anomalies, as well as helping determine appropriate interventions and creating efficiencies for our most valued claim assets.

Travelers is a leader in the industry for leveraging advanced modeling techniques and technologies to address such business needs, and the opportunities are only growing!

Travelers is the #1 writer of Workers Compensation (WC) insurance. In Claim, we have a significant opportunity to optimize the WC claim handling process using predictive analytics and AI.

The AVP in this role will lead a team responsible for enhancing our existing models and developing new analytic solutions with additional business benefit.

As part of our team, you will be instrumental in shaping the future of Workers Compensation claim handling, driving efficiency, accuracy, and customer satisfaction.

This role also offers the chance to lead a group of individuals supporting Claim’s various AI and Generative AI initiatives.

This is a unique opportunity to not only work with, but also lead the implementation of cutting-edge AI technologies to streamline our claim handling process.

If you're passionate about data science, AI, and making a tangible impact on our Claim organization, this is the opportunity you've been waiting for.

Join us and be a part of the transformation!

Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced statistical techniques and machine learning algorithms.

As an AVP & Data Scientist, you will lead a team responsible for challenging conventional thinking and communicating insights to executive business and analytics leadership.

You will also collaborate with technology partners to drive analytics out to our products in the marketplace, giving Travelers a competitive advantage.

What Will You Do?

• Present analysis, insights, results, and recommendations to executives for decisions.
• Anticipate potential objections and influence executives to adopt a different point of view.
• Take ownership of a portfolio of projects and team of managers and leaders, making recommendations that influence business outcomes.
• Drive teams and leaders to ensure the successful execution of data science strategies.
• Start identifying organizational tension and work to build consensus across the organization.
• Assist in the development of business plans for the portfolio.
• Influence outcomes in the line of business and / or data science community through discussions, presentations, or peer reviews.
• Drive team recruiting, training, and talent assessment efforts.
• Provide guidance and coaching for team members; guide your team to advance their subject matter expertise and to identify future leaders to meet Travelers’ business objectives.
• Support the sharing of knowledge and best practices across the Enterprise.
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Masters in STEM related field or equivalent
• 10 or more years of related work experience, including 6 or more years of team leadership experience.
• Industry expertise in modeling / research / analytics or actuarial required.
• Industry level knowledge of value creation and business model concepts.
• Regularly interacts with executives and / or major customers using negotiating and / or influencing skills.
• Subject matter expertise in the majority of external software programs.
• Ability to apply emerging statistical procedures to large highly complex work.
• Recognized industry expertise in 2-3 of the following : Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling.

What is a Must Have?

• Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus seven years of experience or any suitable and equivalent combination of education and work experience.
• Heavy concentration in mathematics, including statistics and programming, business intelligence / analytics, as well as data science tools and research using large data sets.
• Additional verification of specific coursework will be required.

What Is in It for You?

• Health Insurance : Employees and their eligible family members including spouses, domestic partners, and children are eligible for coverage from the first day of employment.
• Retirement : Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum.

If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account.

You are also eligible for a Pension Plan that is 100% funded by Travelers.

• Paid Time Off : Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
• Wellness Program : The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs.

In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.

Volunteer Encouragement : We have a deep commitment to the communities we serve and encourage our employees to get involved.

Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.

Employment Practices

Travelers is an equal opportunity employer. We believe that we can deliver the very best products and services when our workforce reflects the diverse customers and communities we serve.

We are committed to recruiting, retaining and developing the diverse talent of all of our employees and fostering an inclusive workplace, where we celebrate differences, promote belonging, and work together to deliver extraordinary results.

In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.