Senior Consultant, Data Management

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.

Data Analytics

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.

$81,500.00 - $

1

At Travelers, we create trusted strategic products and services to unlock the power of our data. We enhance and measure our ability to access, govern, manage, connect and integrate internal and external data assets and ensure our employees understand the value of data and the impacts to our business.

The Data Governance Advisor - Senior Consultant will assist in execution of Bond & Specialty Insurance's Data Governance program to ensure our data assets are protected, understood, trusted and accessible. In partnership with agile teams across the organization, you will coordinate governance activities, facilitate data discussions and provide expertise and guidance on our standards, processes and tools.

Successful candidates are inquisitive and detail-oriented with a passion for continuous learning and improving the integrity and usability of data assets. This individual will act as a data champion, assisting in defining and classifying data, supporting the development of standards and recommending improvements to our Data Governance processes. Ability to do basic SQL and Python coding is a plus for this role.

• Implement processes to assure data quality for business purposes
• Perform moderately complex data profiling and analysis and communicate results in support of data quality processes.
• Meet with business customers to develop and maintain business data quality requirements and specifications.
• Perform intermediate to advanced metadata documentation, data lineage, data transformation rules in support of key program deliverables.
• Work with business customers to ensure appropriate naming definitions and standards are being followed.
• Participate in the creation of data models (e.g., entity design and population).
• Perform testing and validation of requirements and/or data management capabilities.
• Demonstrate and apply detailed understanding of overall data models, data relationships, mapping lineage and business rules.
• Create detailed test strategies and test plans.
• Perform moderately complex root cause analysis and resolution of business data issues.
• Gather information across the enterprise and use tools, processes, and workflows to capture knowledge and maintain its relevance.
• Assist with the designing the creation, maintenance and governance of taxonomies and ensures its applicability to content and/or data.
• Perform other duties as assigned.

• Experience with one or more of the following Tools and languages – SQL, Teradata, Python, Hive, Micro Strategy, Ab Initio, Messaging, No
  
  SQL.
• Ability to clearly articulate thoughts and ideas and adjust communication based on audience.
• Ability to leverage previous experience to consider a variety of alternatives to arrive at a timely, practical, and effective solution to resolve business problems.
• Strong collaboration skills with the ability to work with business partners to design and execute priorities and project goals.
• Strong organizational and time management skills with the ability to handle shifting priorities.
• Demonstrated understanding of overall data models, data relationships, mapping lineage…