Senior Data Owner Lead Analyst - Data Governance

Citi; Irving (IA); Hybrid; USD 192,000 - 235,000; Full time

Benefits offered by this job

Health insurance

Job summary

Citi in Irving, TX seeks a Data Owner Sr. Lead Analyst to lead end-to-end data governance and data quality initiatives across the enterprise.

Responsibilities include database administration, data analysis, data architecture, and driving standards for metadata, data dictionaries, and data lineage while partnering with Data Stewards to ensure trustworthiness and policy compliance in global data flows.

Qualifications

• Requires a Master’s degree in Business Administration, Business Analytics, Actuarial Science, Data Analytics, or related field and 8 years of experience in data-related roles.
• Alternatively, a Bachelor’s degree with 10 years of progressively responsible experience in the above positions.

Responsibilities

• Perform data activities including database administration, data analysis, maintenance, data quality, database management, and database design engineering.
• Provide guidance to the end-to-end data flow and ensure adoption of new data standards and models.
• Support Data Stewards to drive end-to-end data management and consistent data usage.
• Lead assessment of data requirements, standards, and process risk with business input.
• Align metadata repositories, data dictionaries, data lineage, and training with data/system flows.
• Support remediation of Data Concerns and monitor fixes.
• Review and monitor Data Quality issues through Citi's data management processes.
• Escalate barriers and provide updates to leadership.

Skills

Data analytics

Data governance

Database administration

Data quality

Data modeling

Data lineage

Policy compliance

Education

Master's degree in Business Administration / Business Analytics / Data Analytics

Bachelor's degree with 10 years post-baccalaureate experience

Job description

Citi in Irving, TX seeks a Data Owner Sr. Lead Analyst to lead end-to-end data governance and data quality initiatives across the enterprise.

Responsibilities include database administration, data analysis, data architecture, and driving standards for metadata, data dictionaries, and data lineage while partnering with Data Stewards to ensure trustworthiness and policy compliance in global data flows.