Enterprise Data Quality Lead — Governance & Insights

Johnson Controls; Glendale (AZ); On-site; USD 135,000 - 155,000; Full time

Job summary

Johnson Controls is seeking a Data Quality Lead to define, implement, and govern enterprise data quality practices across the organization. You will collaborate with data governance, engineers, analysts, and application owners to establish standards, monitor health, and drive improvements.

This role focuses on data quality strategy, ownership models, and metrics, enabling reliable data for operations, reporting, analytics, AI/ML, and compliance, with a strong emphasis on cross-functional

Qualifications

• Bachelor’s degree in Information Systems, Computer Science, Data Management, Engineering, or related field.
• 8+ years of experience in data management, data governance, analytics, or data engineering.
• 3+ years leading enterprise data quality programs.
• Experience with cloud platforms including Snowflake, Databricks, Azure, and AWS.
• Experience with data governance capabilities, including data catalogs, metadata management, business glossaries, and data lineage.
• Strong SQL and data analysis skills.

Responsibilities

• Develop and execute an enterprise data quality strategy aligned with business objectives.
• Establish data quality frameworks, policies, standards, principles, operating models, and best practices.
• Promote a strong data quality culture across business and technology organizations.
• Lead cross-functional initiatives designed to improve data trust and usability.
• Partner with Data Governance teams and business data stewards to identify and define critical data elements (CDEs).
• Establish clear data quality ownership and accountability models.
• Define data quality rules, thresholds, service-level objectives (SLOs), service-level agreements (SLAs), and operational support procedures.
• Facilitate governance forums and data quality review boards.
• Support compliance with applicable regulatory and audit requirements.
• Design and implement proactive data quality monitoring frameworks and controls addressing completeness, accuracy, consistency, timeliness, validity, uniqueness, and integrity.
• Oversee implementation of automated data quality checks within data pipelines.
• Monitor data quality dashboards and scorecards to identify trends, risks, and improvement opportunities.
• Drive incident management and root cause analysis for data quality issues.
• Lead enterprise data quality assessments and remediation activities.
• Prioritize data quality defects based on business impact and coordinate with engineering teams on corrective actions.
• Develop enterprise data quality KPIs, scorecards, and executive reporting.
• Communicate data quality health, risks, and opportunities to leadership and key stakeholders.
• Partner with Business Data Owners, Data Stewards, Data Governance teams, Enterprise Architects, Data Engineers, Application Owners, Analytics teams, and Compliance and Audit teams.
• Serve as a trusted advisor on data quality matters and influence organizational adoption of quality standards.
• Evaluate and support implementation of enterprise data quality solutions.
• Define data quality monitoring across Snowflake, Azure, and data integration platforms.
• Support metadata management, data lineage, and observability initiatives.
• Leverage automation and AI-driven capabilities to strengthen data quality monitoring and continuous improvement.

Skills

Strategic Thinking

Influencing Without Authority

Stakeholder Management

Data Governance Expertise

Root Cause Analysis

Continuous Improvement

Process Optimization

Change Management

Executive Communication

Team Development

Education

Bachelor’s degree in Information Systems, Computer Science, Data Management, Engineering, or related field

Master’s degree

CDMP certification

Collibra Certification

Informatica Certification

Microsoft Purview Certification

DAMA-DMBOK knowledge

Tools

Snowflake

Databricks

Azure

AWS

SQL

Data catalogs

Metadata management

Data lineage

Job description

Johnson Controls is seeking a Data Quality Lead to define, implement, and govern enterprise data quality practices across the organization. You will collaborate with data governance, engineers, analysts, and application owners to establish standards, monitor health, and drive improvements.

This role focuses on data quality strategy, ownership models, and metrics, enabling reliable data for operations, reporting, analytics, AI/ML, and compliance, with a strong emphasis on cross-functional