Senior Data Management Consultant | Data Governance(PAN India -Hybrid)

We are looking for an experienced Data Management Consultant (PAN India Locations) to help organizations build trusted, governed, and AI-ready data ecosystems. The ideal candidate should have expertise in Data Governance, Data Quality, Metadata Management, Master Data Management (MDM), and Data Architecture, with strong consulting and stakeholder management skills. Responsibilities Assess enterprise data maturity and define data strategy and roadmap. Design and implement Data Governance, Data Quality, Metadata Management, and MDM frameworks. Establish governance policies, standards, stewardship models, and operating procedures. Define data quality KPIs, scorecards, and remediation processes. Implement metadata management, data lineage, and data catalog solutions. Conduct stakeholder workshops and gather business requirements. Develop reusable frameworks, templates, and implementation accelerators. Build AI/GenAI proof of concepts to improve data management capabilities. Collaborate with cross-functional teams to deliver enterprise data transformation initiatives. Support solution design, client engagements, and pre-sales activities. Requirements 5-12 Years experience in Data Management, Data Governance, or Enterprise Data Consulting. Strong knowledge of Data Governance, Data Quality, Metadata Management, MDM, Data Architecture, and Data Modeling. Experience with tools such as Collibra, Informatica IDQ, Ataccama, Alation, Microsoft Purview, SAP Information Steward, or SAP Datasphere. Knowledge of DCAM, DAMA-DMBOK, EDM Council, or COBIT frameworks. Experience conducting Data Maturity Assessments and defining Data Strategy and Roadmaps. Exposure to GenAI, LLMs, Prompt Engineering, Agentic AI, or AI Governance is plus. We are looking for an experienced Data Management Consultant (PAN India Locations) to help organizations build trusted, governed, and AI-ready data ecosystems. The ideal candidate should have expertise in Data Governance, Data Quality, Metadata Management, Master Data Management (MDM), and Data Architecture, with strong consulting and stakeholder management skills. Responsibilities Assess enterprise data maturity and define data strategy and roadmap. Design and implement Data Governance, Data Quality, Metadata Management, and MDM frameworks. Establish governance policies, standards, stewardship models, and operating procedures. Define data quality KPIs, scorecards, and remediation processes. Implement metadata management, data lineage, and data catalog solutions. Conduct stakeholder workshops and gather business requirements. Develop reusable frameworks, templates, and implementation accelerators. Build AI/GenAI proof of concepts to improve data management capabilities. Collaborate with cross-functional teams to deliver enterprise data transformation initiatives. Support solution design, client engagements, and pre-sales activities. Requirements 5-12 Years experience in Data Management, Data Governance, or Enterprise Data Consulting. Strong knowledge of Data Governance, Data Quality, Metadata Management, MDM, Data Architecture, and Data Modeling. Experience with tools such as Collibra, Informatica IDQ, Ataccama, Alation, Microsoft Purview, SAP Information Steward, or SAP Datasphere. Knowledge of DCAM, DAMA-DMBOK, EDM Council, or COBIT frameworks. Experience conducting Data Maturity Assessments and defining Data Strategy and Roadmaps. Exposure to GenAI, LLMs, Prompt Engineering, Agentic AI, or AI Governance is plus.