Data Governance Life Cycle Management

$115,000 - $130,000/Yr

Webster Financial - Stamford, CT

Full-time - Entry Level

Hybrid - Stamford, CT

Credit Intermediation and Related Activities

About the position

Webster Bank is looking for someone to join the Data Governance team to cultivate, promote, and enhance our Data Governance program. In this position, the Data Life Cycle Manager will have responsibility for the analysis, documentation, rule definition and management of critical data elements associated with the delivery management of chief data offices' related business solutions. This includes but is not limited to upstream and downstream data integration to the data ecosystem including field level analysis and business requirements while partnering closely with the data architecture team, business units, data movement and data modelling teams. Under the umbrella, and with a foundational focus of Data Governance, this role will support data quality, data definition and critical data lifecycle management processes from initiation through implementation.

Responsibilities

• Manage and maintain the Critical data elements in the approved business glossary tool.
• Drive continuous capture of business metadata for critical data elements to enable self-service reporting and support improvement in data quality.
• Work with DQ manager to establish enhanced metrics on CDEs and DQ remediation efforts.
• Support Data Quality (DQ) rule processes within DQ platform as defined by business requirements and initiatives.
• Perform data analysis, in support of the critical data elements, during all phases of the key initiatives of the Chief Data Office.
• Communicate and coordinate with business clients and DQ Team colleagues to drive and support the remediation efforts.
• Develop and support Critical Data metrics showcasing the DQ programs and initiatives the Chief Data Office is governing.

Requirements

• High school diploma or GED required.
• Candidates with advanced degrees (Associates, Bachelor's, and/or Master's) preferred.
• Candidates with some combination of coursework and experience, or else extensive related professional experience, are eligible for consideration.
• Strong skills in data analysis, information assessment, and data quality review.
• Strong technical skills: MS Excel / SQL / various data analysis and reporting / Business Intelligence tools.
• Demonstration of team leadership, project management, and the ability to build and maintain relationships.
• Strong analytical and problem-solving skills, including the ability to objectively analyze and evaluate issues.

Benefits

• Incentive compensation based on performance.