Lead Data Quality and Governance Analyst

TIAA

. Lead implementation of data quality, governance, and data management standards, controls, tools, and processes .

Posted 11/5/2026full-timeUnited StatesSenior💰 $121,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data quality, governance, and management, with a strong focus on implementing standards and controls throughout the data lifecycle. Proficient in leveraging tools like Splunk and Kafka for data integration, monitoring, and analysis to drive data-driven decision-making.

Highest-signal resume keywords

Data Quality ManagementData Governance ImplementationETL DevelopmentSplunk ProficiencyKafka-Based Streaming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Quality MonitoringData ValidationData AuditingData IntegrationData TransformationMaster Data ManagementMetadata ManagementData LineageDashboard DevelopmentTrend Analysis

Soft Skills

MentoringCollaborationCommunication

Tools & Technologies

SplunkApache KafkaETL ToolsCollibra

Industry Keywords

Data Lifecycle ManagementData IntegrityOperational InsightsEvent-Driven Data ProcessingAutomation

Tech Stack

Tools & technologies

ApacheETLKafkaSplunk

About the role

Key responsibilities & impact

Lead implementation of data quality, governance, and data management standards, controls, tools, and processes
Monitor data quality metrics, perform data validation and audits, identify issues, and drive remediation
Strengthen governance and controls throughout the end-to-end data lifecycle
Design and support ETL/data integration processes supporting reliable and consistent data flows
Work with Kafka-based streaming/event data, JSON, and structured, semi-structured, and unstructured data
Leverage Splunk for data analysis, monitoring, troubleshooting, validation, and operational insights
Support master data management and enterprise data standards while identifying opportunities to improve data integrity and availability
Develop and enhance reports, dashboards, metrics, and trend analysis to support data-driven decisions
Partner across business, technology, data engineering, and governance teams to resolve data issues and implement improvements
Provide subject matter expertise, mentor team members, and drive adoption of new processes and methodologies

Requirements

What you’ll need

Bachelor's degree in a relevant field (e.g., Computer Science, Information Systems, Data Science)
5+ years of experience in data quality, data governance, data management, or data engineering
3+ years of hands-on experience with Splunk, Apache Kafka, and ETL development
Experience working with structured, semi-structured (e.g., JSON), and unstructured data
Experience defining and enforcing data quality rules, data controls, and data lifecycle management
Experience with data quality monitoring, validation, auditing, and issue remediation
Experience designing, documenting, and troubleshooting data integration, data flows, and transformation processes
Experience collaborating with business and technology stakeholders to resolve data issues and communicate findings
Experience with real-time and streaming data pipelines and event-driven data processing preferred
Advanced experience with high-volume data processing using Splunk, Kafka, and ETL tools preferred
Experience with master data management, metadata management, data lineage, and enterprise data standards preferred
Hands-on experience with Collibra preferred
Experience building dashboards and reports for operational metrics and trend analysis preferred
Experience implementing automation or process improvements preferred
Experience leading complex initiatives, mentoring team members, or coordinating cross-functional teams preferred

Benefits

Comp & perks

Superior retirement program
Competitive health offerings
Wellness offerings
Work-life offerings
Meaningful learning experiences and development pathways
Incentive program linked to performance may be included, depending on the role
Drug-free and smoke-free workplace