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Lead enterprise data quality initiatives by defining standards, KPIs, and monitoring frameworks to ensure data reliability. Partner with stakeholders to identify data issues, perform root cause analysis, and implement automated validation processes using IICS and CDQ.
Build the future!
McGraw Hill is a global education innovation company offering solutions from textbooks to cutting-edge digital platforms that improve learning outcomes. To support our growing data and analytics capabilities, we are hiring a Data Quality Manager who will play a key role in ensuring the accuracy, consistency, and reliability of enterprise data across business and technology functions and will be based remotely in India.
How are you creating an impact?
As a Data Quality Manager, you will lead initiatives focused on improving data quality across the organization. You will partner with business stakeholders, data stewards, engineering teams, and analytics teams to identify data issues, drive remediation efforts, establish governance processes, and ensure data can be trusted for business decisions. Your work will directly contribute to improving operational efficiency, reporting accuracy, and overall data governance maturity.
What will you be doing?
We are looking for someone having:
Preferred qualifications:
Skills and competencies:
Why work with us?
There has never been a better time to join McGraw Hill. In our culture of curiosity, collaboration, and innovation, you'll have the opportunity to influence enterprise data quality practices, partner with global teams, and help build a trusted data foundation that supports business growth and decision-making.
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