Senior Data Management Consultant - Data Quality & Governance

3M HEALTHCARE; Hartford (CT); On-site; USD 81,500 - 134,500; Full time

Benefits offered by this job

Health Insurance

401(k) matching

Pension Plan

Paid Time Off

Wellness program

Volunteer rewards

Job summary

Travelers is seeking a data quality and governance professional in Hartford, CT to help manage data availability, quality and privacy across the enterprise. You will partner with business teams to define data quality requirements and implement profiling and metadata practices to support critical programs.

Responsibilities include data lineage, transformation rules, naming standards, and collaboration to ensure robust data governance and security measures across multiple platforms.

Qualifications

• Essential: Bachelor’s degree or two years of relevant data and analytics, and/or data management experience.

Responsibilities

• Assist in managing the availability, usability, integrity, security and privacy of data.
• 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.

Skills

ETL / Data Integration

Data platforms

Cloud computing

SQL

Python

Hive

NoSQL

Data governance

Education

Bachelor's degree

Tools

Teradata

MicroStrategy

Ab Initio

Messaging

NoSQL databases

Job description

Travelers is seeking a data quality and governance professional in Hartford, CT to help manage data availability, quality and privacy across the enterprise. You will partner with business teams to define data quality requirements and implement profiling and metadata practices to support critical programs.

Responsibilities include data lineage, transformation rules, naming standards, and collaboration to ensure robust data governance and security measures across multiple platforms.