





Strong employer brand and metro location but specialized data-governance skillset yields medium competition.
Medium: governance skills transfer across industries, though banking/regulatory knowledge is valued.
Medium: multiple mandatory technical skills and governance experience but no explicit years requirement.
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Lead and advance enterprise data quality initiatives by implementing and governing data quality frameworks and controls across multiple domains.
Engage with cross-functional stakeholders to design scalable data quality controls, automated monitoring, and executive dashboards communicating data quality trends and risks.
Drive root cause analysis, remediation, and continuous improvement of data governance policies, standards, and metadata assets including business glossaries and governance repositories like Collibra.
Bachelor's degree in Information Systems, Computer Science, Data Management, or related field.
Experience leading data quality initiatives and working with business and technology stakeholders across multiple functions.
Proficiency in SQL and experience with Python or similar programming languages for data analysis and automation.
Experience with enterprise data governance platforms such as Collibra and business intelligence tools like Power BI.
Experienced data governance professional capable of influencing and leading cross-functional data quality strategies with minimal supervision.
Practitioner skilled in designing and implementing automated data quality controls and dashboards in complex enterprise environments.
Strong communicator able to translate technical concepts into actionable insights for senior leadership and diverse stakeholder groups.