Lead Data Governance

Pall Corporation; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Pall Corporation in Bengaluru is seeking an experienced data governance professional to define and operationalize enterprise data governance practices across ownership, stewardship, quality, and lifecycle management.

You will collaborate with business and IT to maintain standards, partner with architects to optimize master data, and lead data quality initiatives to support analytics and AI initiatives, while ensuring privacy and compliance.

Qualifications

• Bachelor's degree in Information Systems, Computer Science, Data Management, Engineering, or a related discipline.
• 6–8 years of experience in data governance, data management, or enterprise data roles.
• Experience implementing data governance frameworks, including stewardship, ownership, and data quality processes.
• Experience working with enterprise data and analytics platforms such as data warehouses, data lakes, or analytics ecosystems.
• Hands‑on experience with data governance, metadata, or data quality tools.
• Exposure to privacy, regulatory, or quality‑driven environments impacting data usage – preferred.
• Experience supporting analytics or AI initiatives requiring trusted, governed data – preferred.

Responsibilities

• Define and operationalize enterprise data governance practices, including data ownership, stewardship, data quality, and lifecycle management.
• Partner with business and IT stakeholders to establish and maintain enterprise data standards, definitions, and policies across platforms.
• Coordinate with technical analysts and solution architects to optimize master data across key domains and systems.
• Lead initiatives to improve data quality, consistency, and usability for analytics and AI use cases.
• Support the implementation and adoption of data governance tools such as metadata management, data catalogs, lineage, and quality monitoring.
• Collaborate with solution architects, application teams, and analytics teams to embed governance into data pipelines, integrations, and AI solutions.

Skills

Data governance

Data stewardship

Data quality

Master data management

Data standards

Metadata management

Data lineage

Regulatory/compliance awareness

Education

Bachelor's degree in Information Systems / Computer Science / Data Management / Engineering

Tools

Data warehouses

Data lakes

Analytics platforms

ETL tools

Job description

Role

• Define and operationalize enterprise data governance practices, including data ownership, stewardship, data quality, and lifecycle management.
• Partner with business and IT stakeholders to establish and maintain enterprise data standards, definitions, and policies across platforms.
• Coordinate with technical analysts and solution architects to optimize master data across key domains and systems, defining required customer data fields, naming conventions, identifiers, hierarchies, and relationships in CRM and ERP environments.
• Lead initiatives to improve data quality, consistency, and usability, including validation, de‑duplication, and process improvements that support analytics and AI use cases.
• Support the implementation and adoption of data governance tools such as metadata management, data catalogs, lineage, and quality monitoring.
• Collaborate with solution architects, application teams, and analytics teams to embed governance into data pipelines, integrations, and AI solutions.
• Enable regulatory, privacy, and compliance requirements through data classification, access controls, usage guidelines, and stakeholder training and documentation to promote data literacy and governance adoption.

Requirements

• Bachelor’s degree in Information Systems, Computer Science, Data Management, Engineering, or a related discipline.
• 6–8 years of experience in data governance, data management, or enterprise data roles.
• Demonstrated experience implementing data governance frameworks, including stewardship, ownership, and data quality processes.
• Experience working with enterprise data and analytics platforms such as data warehouses, data lakes, or analytics ecosystems.
• Hands‑on experience with data governance, metadata, or data quality tools.
• Exposure to privacy, regulatory, or quality‑driven environments impacting data usage – preferred.
• Experience supporting analytics or AI initiatives requiring trusted, governed data – preferred.