Manager, Data Quality

Studyin; Sector 10; Remote; INR 1,800,000 - 2,800,000; Full time

Job summary

StudyIn is seeking a strategic and detail-oriented Manager– Data Quality to lead our enterprise data quality function. You will define standards, oversee a team of data quality professionals, and ensure data integrity across CRM, CMS, and web applications to support BI and analytics.

The role requires deep expertise in data quality frameworks, governance, and cross-functional collaboration with IT, product, and business stakeholders.

Qualifications

• 6–8 years in data management, knowledge base operations, content management or information governance.
• 4–6 years leading data quality, knowledge management or data governance functions.
• Proven track record building enterprisewide knowledge bases and CMS-driven platforms.
• Experience designing data quality frameworks, governance policies, and audit mechanisms.
• Experience with large-scale data entry, content migration, and metadata management.
• Strong collaboration with Product, Operations, IT and Business teams.

Responsibilities

• Strategic leadership to develop and execute the data quality strategy and roadmap.
• Lead and mentor a team of data quality leads, analysts, and associates.
• Define and implement data quality standards, validation rules, and monitoring.
• Collaborate with Data Governance for lineage, stewardship and compliance.
• Partner with IT, Data Engineering, BI, and Product to embed data quality requirements.
• Develop dashboards and reports to track data quality trends and improvements.

Skills

Data quality management

Data governance

SQL

Excel / Google Sheets

Knowledge management systems

Stakeholder management

Cross-functional collaboration

Leadership / team management

Metadata management

Education

Bachelor’s degree in Computer Science / IT

Tools

CMS platforms

Knowledge Management platforms

APIs / Integrations

ETL concepts

Job description

Managing a team of Data Quality Professionals

Web & CRM

Reporting to

Location

Anywhere in India

Employment Type

Full Time

About the company

At StudyIn, we believe that the rightguidance has the power to change lives. As the world’s most trusted highereducation specialist, we’ve assisted over 1.3 million students in accessingstudy opportunities since 2006, placing them at top universities across theUK, USA, Canada, Australia, New Zealand, Ireland and Dubai. Our global teamof 500+ professionals spans 40+ countries worldwide, offering expertcounselling, admissions support, visa guidance and university partnerships.

Main Duties & Scope of the role

We are seeking a strategic and detail-oriented Manager– Data Quality to lead our enterprise-wide data quality function. Thisrole is responsible for defining and implementing data quality frameworks,managing a team of data quality professionals, and ensuring data integrityacross systems to support business intelligence, analytics, and operationalexcellence. The ideal candidate will have a blend of technical expertise,leadership ability, and cross-functional collaboration skills.

Key Responsibilities

1. Strategic Leadership:

• Develop and execute the organization’s data quality strategy, policies,and roadmap.
• Establish dataquality metrics, KPIs, and reporting frameworks aligned with business goals.
• Champion a dataquality culture across the organization through training and awarenessprograms.

2. Team Management:

• Lead, mentor,and grow a team of data quality leads, analysts, and associates.
• Oversee teamcapacity planning, performance reviews, and career development.

3. Data quality oversight:

• Define andimplement data quality standards, validation rules, and monitoring processes.
• Ensurecompleteness, accuracy, consistency, and timeliness of data across allsystems (CRM, CMS, Web applications etc.).
• Investigateroot causes of data quality issues and drive corrective/preventive actions.

4. Governance and compliance:

• Collaboratewith the Data Governance team to ensure alignment with enterprise datapolicies, including data lineage and stewardship models.
• Supportcompliance with regulatory requirements through strong quality controls.

5. Cross functional Collaboration:

• Partner withIT, Data Engineering, BI, Product, and Business stakeholders to ensure dataquality requirements are embedded in systems and processes.
• Participate inmajor data initiatives including migrations, platform upgrades, andintegrations.

6. Reporting and insights:

• Develop andmaintain dashboards/reports that provide visibility into data quality trends,issues, and improvement efforts.
• Communicate data health status to senior leadership and recommendstrategic improvements.

Requirements & Qualification

• 6-8 years of experience in datamanagement, knowledge base operations, content management or information governance.
• Minimum 4–6 years of experience leading data quality, knowledge management,or data governance functions within a mid-to-large-scale organization.
• Proven track record of building, maintaining, and optimizing enterpriseknowledge bases, content repositories, or CMS-driven platforms.
• Extensive experience designing and implementing data quality frameworks,validation processes, governance policies, and audit mechanisms.
• Strong experience managing large-scale data entry, content migration, contentstandardization, and metadata management initiatives.
• Demonstrated success leading cross-functional teams, including Data EntrySpecialists, Knowledge Base Administrators, Content Managers, and QualityAnalysts.
• Experience establishing and monitoring KPIs, SLAs, and quality metricsrelated to data accuracy, completeness, consistency, and timeliness.
• Hands-on experience with workflow optimization, process automation, andcontinuous improvement initiatives to improve operational efficiency andreduce manual effort.
• Experience managing stakeholder requirements and collaborating with Product,Operations, Customer Support, IT, and Business teams.

Technical Knowledge

• Advancedproficiency in Microsoft Excel, Google Sheets, and data analysis tools,including complex formulas, pivot tables, validation rules, reporting, anddashboards.
• Strongexperience with enterprise CMS and Knowledge Management platforms
• Deepunderstanding of knowledge base architecture, taxonomy design, contentcategorization, metadata standards, tagging strategies, and informationlifecycle management.
• Workingknowledge of SQL and database concepts for data validation, reconciliation,and reporting.
• Familiaritywith data governance frameworks, master data management (MDM), datastewardship, and compliance best practices.
• Experience withAI-powered knowledge management tools, content automation, searchoptimization, and intelligent content retrieval systems is highly desirable.
• Understandingof APIs, integrations, ETL processes, and data migration methodologies ispreferred.

Preferredqualifications:

• Bachelor’sdegree in Computer Science, Information Technology, or a related field.

KeyAttributes:

• Collaborative: Work effectively withcross-functional teams to shape the product vision and maximize deliveryvalue.
• ContinuousLearner: Stay informed aboutindustry best practices and foster team growth through knowledge sharing.
• Team-Oriented: Promote teamwork and sharedresponsibility for achieving product goals.
• Detail-Oriented: Ensure high-quality deliverablesand contribute to team efficiency.
• Customer-FocusedNegotiator: Balance stakeholderneeds with product value to deliver the best outcomes.
• TechnicallyInformed: Leverage basic technicalknowledge to understand feasibility, communicate effectively with thedevelopment team, and make informed prioritization decisions withoutdictating technical solutions.

WhatWe Offer:

• Acollaborative, innovative, and supportive work environment.
• Opportunitiesfor continuous learning, growth, and professional development.
• Competitivecompensation package and clear career advancement pathways.

Join us and make a significant impact by driving our mission to deliver world-class customerexperiences and products.