Data Management Analyst/ Data Governance Analyst

Role overview

Contract and work details

• Contract duration is 6–12 months, with potential for permanent conversion.
• The described location is Bellandur, Bangalore; working hours are 1:30 PM–10:30 PM or 8:00 AM–5:00 PM.
• The interview process consists of two virtual interviews.

Responsibilities

• Support and improve the data governance operating model, including roles, decision rights, standards, policies, issue management, and routines.
• Coordinate with data owners, stewards, and business stakeholders to embed governance practices in daily operations.
• Perform data profiling, assessment, monitoring, and remediation; define quality rules, thresholds, metrics, and reporting.
• Maintain business definitions, data standards, ownership, critical data element documentation, and lineage.
• Support catalog and metadata repository adoption, plus MDM standards, ownership, matching, survivorship, quality controls, and change processes.
• Help align data practices with policies, regulatory requirements, privacy obligations, and control expectations.
• Support AI governance, including appropriate data use, ownership, documentation, risk awareness, and responsible AI alignment.
• Partner with architecture, engineering, and platform teams on data models, integration patterns, and solution designs.
• Develop dashboards, scorecards, and reports tracking governance adoption, quality, metadata coverage, stewardship, and remediation.
• Facilitate issue intake and escalation; guide and train stewards and business partners; lead stakeholder working sessions.
• Track industry practices, governance maturity, and emerging needs, including AI-ready data practices.

Required qualifications

• Experience in data governance, data management, data analysis, or a related role in a medium to large organization.
• Strong understanding of governance concepts, ownership, stewardship, policies, standards, controls, issue management, and operating models.
• Hands-on experience in data quality, metadata management, business glossaries, cataloging, lineage, and MDM practices.
• Experience supporting AI governance aligned with enterprise governance, privacy, security, and compliance.
• Proficiency in SQL, Python, Power BI, and data governance tools, catalogs, metadata repositories, and workflow platforms; Collibra and Profisee are examples.
• Understanding of data modeling, integration, architecture, and applicable regulatory, privacy, risk, and control requirements.
• Strong analytical, problem-solving, facilitation, documentation, and stakeholder engagement skills; ability to work independently and collaboratively.

Preferred qualifications

• B.S. or M.S. in Information Systems, Computer Science, MIS, Business Analytics, Information Science, Engineering, Mathematics, or a related field is preferred.
• CDMP, DGSP, CISA, and relevant vendor certifications in governance, metadata, or data quality are preferred.