Important – Please Read Before Applying Only candidates whose profiles closely match all the mandatory requirements mentioned in the will be considered for the selection process. Irrelevant or non-matching profiles will not be considered or shortlisted.

Kindly read the complete carefully, review the required skills, experience, qualifications, and domain requirements, and apply only if your profile meets the specified criteria. This will help ensure that your application is considered for the appropriate opportunity.

Location: Chennai / Hybrid

Employment Type: Full-time

Experience: 7–12 years

Reporting To: Head of Data / Senior Management

- Role Overview

Compunet Connections is looking for an experienced Data Governance Manager to establish and operationalise data governance frameworks for the organisation and its customers. The role will work closely with business leaders, data teams, application development teams, information security, compliance stakeholders and customer representatives. The successful candidate will ensure that enterprise data is properly owned, defined, protected, measured and used responsibly. This is a hands-on leadership role requiring the ability to convert governance policies into practical processes, controls and measurable business outcomes.
- Key Responsibilities
- Develop and implement the data governance framework

Design and maintain an enterprise-wide data governance framework covering data ownership, stewardship, classification, quality, privacy, access and lifecycle management. Define governance policies, standards, operating procedures, decision rights and escalation mechanisms.

Establish a practical governance operating model that can be adopted by both technical and business teams.

- Establish data ownership and stewardship

Identify critical data domains and assign accountable Data Owners and Data Stewards. Define clear responsibilities, approval workflows and governance forums.

Conduct regular governance council meetings and track decisions, risks and action items to closure.





- Improve enterprise data quality

Define data quality dimensions, rules, thresholds and scorecards for critical data elements. Work with business and technology teams to identify root causes of data quality issues.

Establish issue-management processes covering identification, ownership, remediation, validation and closure.

Publish periodic data quality dashboards and improvement reports.

- Build and maintain business metadata

Develop and govern the enterprise business glossary, data dictionary and critical data-element register. Standardise business definitions across departments and systems.

Support the documentation of data lineage from source systems through transformation, reporting and consumption.

- Ensure regulatory and policy compliance

Align data governance practices with applicable privacy, cybersecurity and industry requirements. Work with information security, legal and compliance teams to define controls for sensitive, personal, financial and confidential data.

Support internal audits, customer audits, risk assessments and regulatory compliance reviews.

- Govern data access and usage

Establish role-based data-access principles and approval processes. Periodically review access to sensitive and critical datasets.

Ensure that data is used only for approved business purposes and in accordance with retention and privacy requirements.

- Support analytics, AI and digital-transformation initiatives

Ensure that data used for analytics, business intelligence and artificial intelligence is accurate, traceable and appropriately governed. Define governance requirements for AI training data, model inputs, outputs, explainability, bias,



privacy and responsible use.

Participate in new application, data-platform and integration projects to embed governance controls from the design stage.

- Drive adoption and governance culture

Conduct training and awareness programmes for Data Owners, Data Stewards, project teams and employees. Develop practical templates, checklists, playbooks and governance guidance.

Track adoption across departments and address resistance through stakeholder engagement and change management.

- Required Qualifications

Candidates Must Possess The Following Bachelor’s degree in Computer Science, Information Technology Management, Engineering, Business Administration or a related discipline.

7–12 years of overall experience in data management, data governance, data quality, business intelligence, data architecture, risk or compliance. At least 3 years of direct experience implementing or managing a data governance programme.

Practical Understanding Of Data governance operating models

Data ownership and stewardship

Data quality management

Business glossaries and data dictionaries

Metadata management and data lineage

Data classification and access governance

Master and reference data management

Data privacy and retention

Experience working with business, technology, risk, security and compliance stakeholders.

Ability to translate policies and regulatory requirements into implementable controls and workflows.

Solid documentation, facilitation, presentation and stakeholder-management skills.

Working knowledge of SQL and the ability to understand database structures, data flows and data-quality reports.

Experience preparing governance dashboards, management reports and remediation plans.

Strong written and spoken English.

This role requires practical implementation capability. Candidates whose experience is limited to preparing governance policies, presentations or audit documents without operational ownership may not be suitable.

📌 Data Governance Manager at Compunet Connections (Lucknow)
🏢 Compunet Connections
📍 Lucknow