Finance Data Steward: Lead Data Quality & Governance

QTS Realty Trust; Overland Park (KS); On-site; USD 90,000 - 130,000; Full time

Job summary

QTS Realty Trust is seeking a Data Steward to lead data governance for designated domains, ensuring quality, security, and usability of data assets. You will collaborate with data owners, governance groups, and technology teams to establish standards, metadata, and lineage documentation.

The role focuses on governance execution and continuous improvement to increase trust and reliability of enterprise data across business units.

Qualifications

• Bachelor's degree in a related field.
• 5+ years in data governance, data management, or related disciplines.
• Proficient in SQL for querying large datasets and procedures.
• Experience as SME for business data domains.
• Experience leading data quality initiatives and governance activities.
• Experience developing metadata, glossaries, and governance docs.
• Ability to influence stakeholders and drive consensus.

Responsibilities

• Lead governance for assigned data domains, defining metadata and classifications.
• Develop and maintain business glossaries, data element definitions, lineage.
• Partner with Owners to align priorities with enterprise standards.
• Embed governance into processes and initiatives.
• Monitor data quality, perform root-cause analysis, and drive remediation.
• Provide regular metrics and reports on data quality and risks.

Skills

SQL

Data governance

Data quality

Metadata management

Stakeholder management

Communication

Python

Education

Bachelor's degree

Tools

Snowflake

Data catalog

Metadata management tools

Data quality platforms

Job description

QTS Realty Trust is seeking a Data Steward to lead data governance for designated domains, ensuring quality, security, and usability of data assets. You will collaborate with data owners, governance groups, and technology teams to establish standards, metadata, and lineage documentation.

The role focuses on governance execution and continuous improvement to increase trust and reliability of enterprise data across business units.