Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education.
For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward.
What you will do
The Data Quality Lead is responsible for defining, implementing, and governing enterprise data quality practices to ensure trusted, accurate, complete, timely, and consistent data across the organization.
You will partner with business stakeholders, Data Governance teams, data engineers, architects, analysts, and application owners to establish data quality standards, monitor data health, drive issue resolution, and improve overall data reliability.
As the primary authority for enterprise data quality strategy, metrics, controls, and continuous improvement initiatives, you will help strengthen the data foundations supporting business operations, reporting, analytics, AI/ML, regulatory compliance, and digital transformation programs.
How you will do it
- 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.
What we look for
Required
- Bachelor's degree in Information Systems, Computer Science, Data Management, Engineering, or a related field.
- 8+ years of experience in data management, data governance, analytics, or data engineering.
- 3+ years of experience leading enterprise data quality programs.
- Experience leading cross-functional initiatives within complex organizations.
- Demonstrated experience establishing enterprise data quality frameworks and controls.
- Experience with cloud platforms and technologies including Snowflake, Databricks, Azure, and AWS.
- Experience with data governance capabilities, including data catalogs, metadata management, business glossaries, and data lineage.
- Experience with SQL and data analysis tools.
- Experience with data integration and ETL platforms.
Leadership Competencies
- Strategic Thinking
- Influencing Without Authority
- Stakeholder Management
- Data Governance Expertise
- Root Cause Analysis
- Continuous Improvement
- Process Optimization
- Change Management
- Executive Communication
- Team Development
Preferred
- Master's degree.
- Experience with KPMG, Deloitte, PwC, or E&Y.
- Certified Data Management Professional (CDMP) certification.
- Collibra Certification.
- Informatica Certification.
- Microsoft Purview Certification.
- Knowledge of DAMA-DMBOK best practices.
- Experience supporting AI/ML and advanced analytics initiatives.
- Experience with data observability and DataOps practices.
SALARY RANGE: $135,000 - $155,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This role offers a competitive Bonus plan that will take into account individual, group, and corporate performance. This position includes a competitive benefits package. The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. For details, please visit the About Us tab on the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us
Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit here.
Skills Required
- Bachelor's degree in Information Systems, Computer Science, Data Management, Engineering, or a related field
- 8+ years of experience in data management, data governance, analytics, or data engineering
- 3+ years of experience leading enterprise data quality programs
- Experience leading cross-functional initiatives within complex organizations
- Experience establishing enterprise data quality frameworks and controls
- Experience with Snowflake, Databricks, Azure, and AWS
- Experience with data catalogs, metadata management, business glossaries, and data lineage
- Experience with SQL and data analysis tools
- Experience with data integration and ETL platforms
- Master's degree
- Experience with KPMG, Deloitte, PwC, or E&Y
- Certified Data Management Professional (CDMP) certification
- Collibra Certification
- Informatica Certification
- Microsoft Purview Certification
- Knowledge of DAMA-DMBOK best practices
- Experience supporting AI/ML and advanced analytics initiatives
- Experience with data observability and DataOps practices
Johnson Controls Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson Controls and has not been reviewed or approved by Johnson Controls.
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Retirement Support — Retirement support is positioned as a meaningful part of the package through employer 401(k) matching, repeatedly framed as a strong pillar of the overall rewards mix. The matching contribution is described with specific match levels in multiple places, reinforcing perceived value for long-term saving.
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Leave & Time Off Breadth — Time off is presented as comparatively robust, with multiple paid holiday categories, vacation time, and sick time described as generous or “amazing” in places. Paid time off breadth appears to be a consistent contributor to total rewards attractiveness beyond base pay.
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Flexible Benefits — Benefits are described as broad and customizable, spanning standard medical/dental/vision plus optional add-ons like pet insurance, identity protection, and legal support. Tuition reimbursement is repeatedly highlighted as a high-value option supporting professional development.
Johnson Controls Insights
What We Do
At Johnson Controls, we transform the environments where people live, work, learn and play. From optimizing building performance to improving safety and enhancing comfort, we drive the outcomes that matter most. Dedicated to protecting the environment, we deliver our promise in industries such as healthcare, education, data centers and manufacturing. With a global team of 100,000 experts in more than 150 countries and over 130 years of innovation, we are the power behind our customers’ mission. Our leading portfolio of building technology and solutions includes some of the most trusted names in the industry, such as Tyco®, York®, Metasys®, Ruskin®, Titus®, Frick®, Penn®, Sabroe®, Simplex®, Ansul® and Grinnell®.
