Hybrid Data Governance VP: Quality, Risk & Insights

Citi; Jacksonville (FL); Hybrid; USD 114,000 - 171,000; Full time

Benefits offered by this job

Hybrid work schedule

Learning opportunities

Financial wellbeing programs

Job summary

Citi in Jacksonville, Florida is seeking a Data Governance Analyst to shape data quality rules, validation checks, and metrics across the enterprise. You will partner with business and technology teams to strengthen data risk and control frameworks and translate data quality issues into actionable insights.

Candidates should have 6–10 years in data governance, strong SQL, and coding in Python or SAS, plus a Bachelor's degree.

Qualifications

• 6–10 years of experience in data governance or related fields.
• Strong SQL skills for querying, validating, and extracting data.
• Coding proficiency in Python or SAS.
• Bachelor's degree.

Responsibilities

• Investigate data quality rule failures and determine root causes using hands‑on validation queries.
• Write and run SQL queries to validate, extract, and analyze data across multiple systems and tools.
• Partner with business and technology teams to implement Data Governance policies and the Data Risk and Control Framework.
• Produce monthly data extractions to support metrics reporting and ongoing performance monitoring.
• Track data‑related issues, ownership, target dates, and associated metrics for governance reporting.
• Coordinate with business lines and global functions to roll out enterprise Data Governance strategy and risk taxonomy updates.
• Gather and synthesize metrics on existing data governance practices, incorporating industry best practices.
• Recommend enterprise‑wide data policies, processes, and practices based on analysis findings.

Skills

SQL

Python

SAS

Data governance

Data quality

Stakeholder communication

Education

Bachelor's degree

Tools

ETL tools

SQL databases

Job description

Citi in Jacksonville, Florida is seeking a Data Governance Analyst to shape data quality rules, validation checks, and metrics across the enterprise. You will partner with business and technology teams to strengthen data risk and control frameworks and translate data quality issues into actionable insights.

Candidates should have 6–10 years in data governance, strong SQL, and coding in Python or SAS, plus a Bachelor's degree.