Role: Data Management Analyst/ Data Governance Analyst

Contract duration: 6–12 Months contract, with Potential for Permanent Conversion

Experience: 5–7 Years

Location: Bellandur, Bangalore

Working Hours: 1:30 PM – 10:30 PM / 8:00 AM – 5:00 PM

Interview Process: 2 Virtual Interviews

Job Overview The Data Management Analyst, Data & Insights – Data Governance serves as a bridge between the technical and business sides, translating complex data requirements into practical governance policies, standards, controls, and operating practices. This role helps ensure that data is trusted, well-defined, secure, and fit for business use by supporting data ownership, stewardship, data quality, metadata, lineage, and master data management practices.

Key Responsibilities

- Support the implementation and continuous improvement of the Data Governance Operating Model, including roles, responsibilities, decision rights, standards, policies, issue management, and governance routines.
- Coordinate with data owners, data stewards, and business stakeholders to embed governance practices into day-to-day operations.
- Perform data profiling, assessment, monitoring, and remediation activities to improve data accuracy, completeness, consistency, timeliness, and fitness for use.
- Define data quality rules, thresholds, metrics, and reporting to track issues, root causes, and improvement progress.
- Maintain business definitions, data element standards, ownership, critical data element documentation, and data lineage information.
- Support data catalog and metadata repository adoption.
- Support Master Data Management (MDM) practices, including master and reference data standards, domain ownership, matching and survivorship rules, quality controls, and change processes.
- Help ensure data practices align with internal policies, regulatory requirements, privacy obligations, and control expectations.
- Support AI Governance practices by ensuring appropriate data use, ownership, documentation, risk awareness, and alignment with responsible AI, privacy, security, legal, and enterprise data governance standards.
- Partner with data architects, engineers, and platform teams to align governance requirements with data models, integration patterns, and solution designs.
- Develop dashboards, scorecards, and management reports to track governance adoption, data quality performance, metadata coverage, stewardship engagement, and remediation status.
- Facilitate issue intake, prioritization, escalation, and follow-through.




- Provide guidance, training, and facilitation to data stewards and business partners.
- Lead working sessions to align stakeholders on definitions, controls, responsibilities, and remediation plans.
- Track industry practices, governance maturity, and emerging data management needs, including AI-ready data practices.

Required Qualifications

- Proven experience in data governance, data management, data analysis, or related roles within medium to large organizations.
- Strong understanding of data governance concepts, including data ownership, stewardship, policy and standards management, issue management, data controls, and governance operating models.
- Hands-on experience with data quality management, including profiling, rule definition, monitoring, remediation, and metric development.
- Hands-on experience with metadata management, business glossary development, data cataloging, and data lineage documentation.
- Hands-on experience with Master Data Management (MDM) concepts and practices, including master and reference data, domain ownership, data standards, matching and survivorship, and lifecycle controls.
- Experience supporting AI governance practices aligned with enterprise governance, privacy, security, and compliance requirements.
- Proficiency in SQL, Python, and Power BI.
- Proficiency with data governance tools, data catalogs, metadata repositories, and workflow platforms, such as Collibra and Profisee.
- Strong understanding of data modeling, data integration, and data architecture concepts relevant to governed data products and enterprise data assets.
- Knowledge of relevant regulatory, privacy, risk, and control requirements affecting enterprise data.
- Strong analytical, problem-solving, facilitation, documentation, and stakeholder engagement skills.
- Ability to work independently and collaboratively on cross-functional governance initiatives.

Preferred Qualifications

- B.S. or M.S. in Information Systems, Computer Science, Management Information Systems, Business Analytics, Information Science, Engineering, Mathematics, or a related field.




- Certified Data Management Professional (CDMP).
- Data Governance and Stewardship Professional (DGSP).
- Certified Information Systems Auditor (CISA).
- Relevant vendor certifications in data governance, metadata, data quality, or master data management platforms.
- Experience supporting enterprise data governance programs, MDM initiatives, data quality scorecards, or AI-ready data practices.
- Familiarity with Oil and Gas industry data.
- Ability to translate complex data topics into clear, practical guidance and visual communication for business and technical audiences.

Must-Have Skills

- Data Quality Management
- Master Data Management (MDM)
- Metadata Management
- Data Catalog & Data Governance Tools
- Collibra
- Profisee
- Databricks

Pay: ₹1,400,000.00 - ₹1,789,614.89 per year

Benefits

- Health insurance
- Paid time off
- Provident Fund

Application Question(s):
- Do you have 5–7 years of professional experience in Data Governance, Data Management, Data Quality, or a closely related role?
- Do you have hands-on experience with Data Quality Management, including data profiling, defining quality rules/thresholds, monitoring, and remediation?
- Do you have hands-on experience with Master Data Management (MDM), including master/reference data, domain ownership, matching, survivorship, and lifecycle controls?
- Do you have hands-on experience with Metadata Management, Business Glossary, Data Cataloging, and Data Lineage?
- Do you have hands-on experience using Collibra and/or Profisee for data governance, catalog, metadata, data quality, or MDM activities?
- Do you have practical proficiency in SQL, Python, and Power BI for data analysis, quality monitoring, reporting, or governance dashboards?
- Do you have experience working with Databricks and understanding data architecture, data modeling, and data integration concepts?
- Do you have experience supporting enterprise Data Governance initiatives, including data ownership/stewardship, governance policies and controls, stakeholder facilitation, privacy/compliance, or AI Governance?
- This is a contract role initially for 6–12 months, with a possibility of full time conversion based on performance and business requirements. Would you be comfortable with this arrangement?
- This role is based in Bangalore, and we are looking for candidates who are currently located in Bangalore or within the local area. Are you currently based in Bangalore?

Work Location: In person

📌 Data Management Analyst/ Data Governance Analyst (Bellandur)
🏢 First Tek
📍 Bellandur