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Travelers
Travelers

Multinational insurance company.

VP, Enterprise Data Enablement

职能数据工程
级别VP级
地点CT - Hartford
方式现场办公
类型全职
发布2个月前
立即申请

必备技能

Machine Learning

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.

Job Category

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

$238,500.00 - $375,600.00

Target Openings

1

What Is the Opportunity?

As VP, Enterprise Data Enablement, you will drive Travelers' strategy to ensure enterprise data is AI-ready—trusted, governed, and optimized for advanced analytics and machine learning. Reporting to the Chief Data & Analytics Officer, you will lead a high-impact team dedicated to data management, integrations, platform evolution, and external data enablement. Success in this role requires strategic vision, technical leadership, and the ability to build collaborative partnerships across business units. You will help shape a culture where data quality and governance are foundational to innovation.

What Will You Do?

  • Develop and execute enterprise-wide strategies to ensure Travelers’ data is AI-ready, including metadata enrichment, semantic labeling, catalog management, bias detection, drift monitoring, and data versioning.
  • Implement and maintain rigorous data quality standards, leveraging modern frameworks and tools to ensure regulatory compliance and reproducibility for AI models.
  • Design and operationalize automated Data Governance as a Service (DGaaS) frameworks, embedding metadata capture, lineage tracking, and policy enforcement directly into data pipelines.
  • Lead the evolution of Travelers’ data platform strategy, integrating cloud-based architectures, data lakes, warehouses, vector databases, and MLOps frameworks to support advanced analytics.
  • Own the enterprise data integration strategy, designing scalable pipelines with enforced data contracts and schema governance, ensuring consistency and quality across applications and models.
  • Develop and manage the sourcing, contracting, and operationalization of external data assets, ensuring their fitness for AI and analytics while maximizing business value.
  • Serve as a strategic partner to BU leaders and the VP of Enterprise Data Products, co-developing integrated roadmaps for data enablement across multiple domains.
  • Build, mentor, and manage a diverse team of data engineers and governance specialists, fostering a culture of data literacy, collaboration, and continuous improvement.
  • Perform other duties as assigned.

What Will Our Ideal Candidate Have?

  • Master’s Degree in Data Science, Computer Science, Information Management, or a related technical discipline.
  • Minimum of 15 years in enterprise data management, architecture, or governance, including at least 7 years in senior leadership roles.
  • Minimum of 7 years designing and delivering AI/ML-ready data platforms and governance frameworks in large, regulated environments; insurance or financial services industry experience is highly advantageous.
  • Proven ability to lead large-scale change management initiatives, drive cultural transformation, and build cross-functional partnerships.
  • Certifications such as AIGP, CIPP, and CDMP are highly valued.
  • Advanced proficiency in modern software languages, data tools, and cloud platforms.
  • Experience with data governance and catalog platforms, data observability tools, and vector databases.
  • Deep understanding of AI/ML data requirements, including semantic labeling, bias detection, drift monitoring, and unstructured data management.
  • Exceptional executive communication skills with the ability to translate complex technical concepts for senior leadership and business stakeholders.
  • Strong collaborative leadership style, adept at building relationships and aligning priorities across business units.
  • Demonstrated ability to empower teams, foster innovation, and drive organizational change.

What is a Must Have?

  • Bachelor’s Degree in Data Science, Computer Science, Information Management, or a related technical field.
  • Minimum of 10 years of experience in enterprise data management, platform architecture, or data governance.
  • Minimum of 5 years in a senior leadership role overseeing multi-disciplinary data teams and managing large-scale, cross-functional projects.

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 value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.

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

If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.

Travelers reserves the right to fill this position at a level above or below the level included in this posting.

To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.

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关于Travelers

Travelers

Travelers

Public

The Travelers Companies, Inc., commonly known as Travelers, is an American multinational insurance company. It is the second-largest writer of U.S. commercial property casualty insurance, and the sixth-largest writer of U.S. personal insurance through independent agents.

10,001+

员工数

New York City

总部位置

$38B

企业估值

评价

10条评价

3.6

10条评价

工作生活平衡

3.8

薪酬

4.0

企业文化

4.2

职业发展

3.2

管理层

2.8

65%

推荐率

优点

Good benefits and compensation

Supportive team culture and collaboration

Flexible work arrangements

缺点

Heavy workload and overtime requirements

Management and leadership issues

Limited career progression

薪资范围

2,105个数据点

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Data Analyst

1份报告

$61,354

年薪总额

基本工资

$47,196

股票

-

奖金

-

$61,354

$61,354

面试评价

2条评价

难度

3.5

/ 5

时长

14-28周

体验

正面 0%

中性 0%

负面 100%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Culture Fit