Data Governance Analyst

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Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.

Trane Technologies is seeking an experienced Data Governance Analyst who is responsible for ensuring that the organization’s data assets are high-quality, secure, easily discoverable, and AI-ready, serving as a bridge between business strategy and technical execution. You will drive cross-functional alignment on business semantics, operationalize metadata standards, and enrich the data catalog.

You will be a key player in enabling technical users—such as data engineers, data scientists, and data analysts—to develop data and AI/ML products efficiently while adhering to security, privacy, and compliance requirements. You’ll collaborate closely with cross-functional partners to embed governance into daily operations, identify opportunities to continuously improve the program, and shape how data will be governed and accessed across a modern, federated data landscape.

• Partner with domain stakeholders and data teams to develop and maintain enterprise business glossaries, metadata, and lines of ownership
• Ensure consistent definitions and naming conventions are used across business units and functions
• Facilitate decision-making to resolve data-related conflicts between departments

• Define, monitor, and report on domain data and metadata quality metrics; drive issues to resolution
• Test and implement AI-augmented approaches to detect anomalies, surface patterns, and accelerate remediation

• Assist in the creation and enforcement of data governance policies, including data classification, retention schedules, and access controls

• Contribute to team communications and playbook to scale data governance knowledge and practices
• Deliver data governance training to business and technical team members
• Promote responsible and effective use of AI in data governance processes and help stakeholders adopt new tools and practices with confidence

• Bachelor’s or Master’s degree in Analytics, Data Science, Library & Information Science, Computer Science, or a related field
• 3+ years of professional experience in analytics, data governance, data management, knowledge management, or a related field
  
  Proven track record of operationalizing data-related policies and best practices, e.g., data modeling or data quality management workflows
• Excellent verbal and written communication skills, with the ability to engage and influence both technical and non-technical stakeholders
• Passion for enabling others, streamlining processes, and building practical, sustainable solutions
• Proficiency with SQL and a strong understanding of relational database structures and dimensional modeling techniques

Strongly preferred:

• Experience with metadata management and data catalog tools (Atlan, Collibra, data.world)
• Experience with data transformation and testing frameworks (dbt, Dataform)
• Experience with cloud data platforms (Google Cloud Platform, Snowflake, Amazon Redshift) and business intelligence tools (Looker, Tableau, Power BI)
• Familiarity with enterprise resource planning systems (Oracle, SAP)
• Familiarity with supply chain management or manufacturing operations
• Familiarity with data governance frameworks (DAMA-DMBOK, Non-Invasive Data Governance)
• Familiarity with security, privacy, and compliance frameworks (e.g., GDPR, CCPA, SOX)