Tamil Nadu Advanced specialist, data governance Jobs – 1733 Open Jobs Today

Data Governance Manager
Compunet Connections —Chennai, Tamil Nadu
- ₹18,00,000 - ₹28,00,000 a year
- Full-time
- Computer Science
- English
- SQL
Quick apply
16h
Data Labeling Specialist (Remote Contract)
Arijentek Solution —Pollachi, Tamil Nadu
- ₹2,40,000 - ₹4,80,000 a year
- Remote
- English
- Windows
- Bachelor's degree
- Flexible schedule
Quick apply
2d
L3 Application Support Specialist
ISS —Chennai, Tamil Nadu
- Full-time
- Microsoft Excel
- Computer Science
- DevOps
Sr. Analyst - Data Governance and Quality 4B
Genpact India Pvt. Ltd. —Madurai, Tamil Nadu
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
Quick apply
Oracle Governance Data Trainer
Calxmap —Chennai, Tamil Nadu
- ₹2,000 - ₹2,500 an hour
- Oracle
- Java
- JavaScript
Quick apply
2d
Specialist (Swachh Bharat Mission) – Capacity Development Programme
Indian Institute for Human Settlements —Chennai, Tamil Nadu
- English
- Master's degree
- Project management
Associate Specialist, Algorithm Research & Development
KLA —Chennai, Tamil Nadu
- Full-time
- Research
- Master's degree
- Bachelor's degree
Advanced Specialist
Autoliv India —Tiruvettipuram, Tamil Nadu
- Engineering
- ERP systems
- English
Data & Business Intelligence Specialist
Citi —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Master's degree
Data Quality /Data Governance with Gen AI/AI
Citi —Chennai, Tamil Nadu
- Full-time
- Microsoft Excel
- Master's degree
- SQL
1d
Specialist - F&A - R2R 4B
Genpact India Pvt. Ltd. —Chennai, Tamil Nadu
- Full-time
- Hybrid work
- English
- Finance
- Master's degree
Quick apply
Specialist - Data Engineering
LTM —Chennai, Tamil Nadu
- DevOps
- SQL
- Analysis skills
Quick apply
2d
Internal Technical Content Specialist, CS Global Office
Denodo —Chennai, Tamil Nadu
- Computer Science
- B.Sc
- Windows
Specialist- Data Analyst Service
Nordex SE —Chennai, Tamil Nadu
- Data analysis skills
- SQL
- Analysis skills
Collibra-Data Governance-Banking Domain
Compunet Connections —Chennai, Tamil Nadu
- ₹15,00,000 - ₹18,00,000 a year
- Full-time
- SQL
- Financial services
- Communication skills
Quick apply
16h
Enterprise Data and Governance Analyst
Barclays —Chennai, Tamil Nadu
- Finance
- Master's degree
- Business Administration
Data Analyst
Guidehouse —Chennai, Tamil Nadu
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
11d
Application Development Specialist
TD Synnex —Chennai, Tamil Nadu
- Full-time
- Computer Science
- Administrative experience
- Bachelor's degree
Data Governance Lead
HCLTech —Chennai, Tamil Nadu
8d
Application Support Specialist
DHL —Chennai, Tamil Nadu
- English
- AI
- Health insurance

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Data Governance Manager

Compunet Connections
Chennai, Tamil Nadu

Quick apply

Job details

Full-time
₹18,00,000 - ₹28,00,000 a year
16 hours ago

Qualifications

BCS
Business intelligence
Computer Science
English
Information security
SQL
Bachelor's degree
Data management
Management reporting
Information Technology

Full job description

Location: Chennai / Hybrid
Employment Type: Full-time
Experience: 7-12 years
Reporting To: Head of Data / Senior Management

1. 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.

2. Key Responsibilities

1. 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.

3. Required Qualifications

Candidates must possess the following:

Bachelor's degree in Computer Science, Information Technology, Data 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.

Quick apply

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