Data Governance Manager at Compunet Connections

Compunet Connections; India; Hybride; INR 2 500 000 - 4 200 000; Plein temps

Résumé du poste

Compunet Connections in Chennai is seeking an experienced Data Governance Manager to establish and operationalise governance frameworks for the organisation and its customers. This hands‑on leadership role requires turning governance policies into practical processes, controls and measurable business outcomes.

You will work with business leaders, data teams, application development, information security and compliance to ensure data is owned, defined, protected, measured and used responsibly.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology or related field.
• 7–12 years of experience in data management, governance and BI.
• Direct experience implementing or managing data governance programmes.
• Knowledge of governance models, data ownership, quality, privacy and lineage.
• Ability to translate policies into implementable controls and workflows.

Responsabilités

• Develop and implement enterprise data governance framework and ownership structure.
• Establish data owners, stewards, workflows and governance forums.
• Define data quality metrics, rules and dashboards; address root causes.
• Create and maintain business glossary, data dictionary and lineage.
• Ensure privacy, security, compliance alignment and audit readiness.
• Manage data access controls and ensure compliant usage.
• Support analytics, AI and digital transformation with governed data.
• Drive adoption through training and governance playbooks.

Connaissances

Stakeholder management

Communication

Documentation

SQL knowledge

Governance frameworks

Formation

Bachelor's degree in Computer Science or related

Outils

SQL

Description du poste

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

• 3. 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.
• 2. 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.
• 3. 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.
• 4. 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.
• 5. 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.
• 6. 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.
• 7. 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.
• 8. 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

• 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.
• Strong 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.