Senior Data Governance & AI Automation Lead

BMO U.S.

Chicago (IL)

On-site

USD 65,000 - 140,000

Full time

6 days ago
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Job summary

BMO U.S. in Chicago is seeking a Senior Data Governance Analyst to improve how Commercial Banking manages, governs, and leverages data.

You will investigate complex data issues, build data quality controls, and automate governance processes using SQL, Python, and AI to deliver trusted data for decision-making. You will partner with business and technology teams to establish accountability for data quality, develop metadata and lineage, and create dashboards to measure governance effectiveness

Qualifications

  • 5+ years of experience in Data Governance or related field.
  • Strong SQL skills with large datasets.
  • Python programming and automation experience.
  • Experience designing data quality controls and monitoring frameworks.
  • Knowledge of metadata, lineage, and data stewardship.

Responsibilities

  • Design, develop, and maintain data quality controls across critical Commercial Banking data assets.
  • Use SQL and Python for data profiling, reconciliation, monitoring, and root-cause analysis.
  • Build automated frameworks to identify, monitor, and remediate data quality issues.
  • Apply AI technologies to automate governance activities and improve efficiency.
  • Partner with business, data, and technology teams to establish accountability for data quality and governance.
  • Develop and maintain metadata, business definitions, lineage, and governance documentation.
  • Build dashboards and metrics that measure governance effectiveness and data quality.
  • Identify opportunities to modernize governance processes with emerging tech.

Skills

SQL
Python
Data quality
Governance
Analytical thinking
Communication
AI-assisted tools
Automation

Tools

Power BI
Tableau
Azure AI
OpenAI
LangChain

Job description

BMO U.S. in Chicago is seeking a Senior Data Governance Analyst to improve how Commercial Banking manages, governs, and leverages data.

You will investigate complex data issues, build data quality controls, and automate governance processes using SQL, Python, and AI to deliver trusted data for decision-making. You will partner with business and technology teams to establish accountability for data quality, develop metadata and lineage, and create dashboards to measure governance effectiveness

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