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.
Overview
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?
- Lead enterprise data quality initiatives across key business and data domains
- Partner with business and technical stakeholders to identify data quality challenges and define remediation strategies
- Analyze data quality issues, perform root cause analysis, and implement preventive solutions
- Define, document, and maintain data quality standards, KPIs, scorecards, and monitoring frameworks
- Build, maintain, and optimize data quality rules, profiling activities, and automated validation processes
- Leverage Informatica, IICS and CDQ to develop and manage enterprise data quality controls and monitoring solutions
- Monitor daily, weekly, and monthly data quality results to identify trends, anomalies, and emerging risks
- Develop dashboards and reports to provide visibility into data quality performance and remediation efforts
- Support data profiling, validation, reconciliation, and data cleanup activities across enterprise systems
- Manage and prioritize data quality remediation activities and coordinate with developers, analysts, and business teams
- Collaborate with Data Governance, Master Data Management, Analytics, and Engineering teams to strengthen enterprise data controls
- Present data quality findings, trends, and recommendations to leadership and governance forums
- Ensure data quality requirements are incorporated into new projects, system implementations, and data initiatives
We are looking for someone having:
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field
- 5+ years of experience in Data Quality, Data Governance, Data Management, Business Intelligence, or related disciplines
- Strong understanding of data quality principles including completeness, accuracy, consistency, validity, and timeliness
- Hands-on experience with Informatica Intelligent Cloud Services (IICS), and Cloud Data Quality (CDQ)
- Experience developing and managing data quality rules, scorecards, profiling activities, validation frameworks, and monitoring processes
- Strong SQL skills and experience performing data analysis and root cause investigations
- Experience building dashboards and reporting solutions using Power BI, Tableau, or similar BI tools
- Strong stakeholder management skills with the ability to collaborate across business and technical teams
- Excellent analytical, problem-solving, and communication skills
Preferred qualifications:
- Experience with data governance and data catalog platforms such as Collibra, Alation, Informatica, or similar tools
- Familiarity with cloud platforms such as Azure, AWS, or Google Cloud
- Experience managing developer or analyst backlogs and coordinating priorities
- Knowledge of Agile delivery methodologies
- Experience working within large enterprise data environments
Skills and competencies:
- Strong attention to detail and commitment to data accuracy
- Ability to identify root causes and drive sustainable solutions
- Strong stakeholder management and relationship-building skills
- Data-driven decision-making and analytical mindset
- Excellent communication and presentation abilities
- Ability to manage multiple priorities in a fast-paced environment
- Proactive, solution-oriented, and continuous improvement mindset
- Strong ownership and accountability for outcomes
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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