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Narwal - Data Governance Lead

Narwal
Bangalore
7 - 15 Years

Posted on: 25/07/2025

Job Description

About Us :


Narwal, with its Global Delivery Model, strategically expands its reach across North America, the United Kingdom, and an offshore development centre in India.
Delivery cutting edge AI, Data and Quality Engineering solutions and consistently surpassing expectations, Narwal has achieved remarkable triple-digit growth rates year after year, earning accolades such as Inc.


5000, Best IT Services Company, Best Data Technology Company, and Partner of the Year with Tricentis.

Our Vision :


To be an expert in AI, Data, Cloud and Quality Engineering transformations, bold in our thinking and authentic in our relationships.


Responsibilities :


- Architect, implement, and maintain enterprise data governance processes, often using tools like Collibra, Informatica EDC/Axon, Alation, etc., for metadata, lineage, data catalogue, and governance policies.

- Design and Implement data quality management, metadata standardization, and stewardship processes across different data domains.

- Create and enforce data governance rules including taxonomy, reference data standards, lineage capture, and data masking/tokenization/encryption.

- Set up operational model : metadata ingestion pipelines, business glossary/dictionary, stewardship and ownership governance structure.

- Manage stakeholder alignment across IT, legal, privacy, compliance, data stewards, and business teams - conduct training, governance workshops, and audits.

- Support compliance with regulations such as GDPR, HIPAA, CCPA, and evolving Indian regulations under the Digital Personal Data Protection Act.

- Lead technical team delivery on roadmap milestones, monitor DG KPIs, and guide adoption of governance tools and processes.


Required Experience & Skills :


- 715 years of experience in Data Governance / Data Quality / Metadata management roles.


- Proven hands-on experience with key DG platforms : Collibra, Informatica, Alation, etc.

- Strong technical skills in scripting (Python, SQL), metadata/configure pipelines, automation, data engineering or ETL/ELT flows.

- Experience in establishing and monitoring data quality metrics, conduct data profiling, audits, and root-cause analysis to drive improvements.

- Working knowledge of cloud environments and integration practices (AWS, Snowflake, databases).

- Understanding of SDLC, Agile methods, Jira/Confluence, DevOps & data platform operations.

- Exceptional stakeholder management, communication, and leadership abilities to coordinate across cross-functional teams.

- Educate stakeholders through workshops, training, and governance councils; manage governance awareness campaigns.


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