Data Quality & Data Governance Lead

As a Data Governance Lead at our Noida office on a 4-month contract engagement, your role involves: - Designing and operationalizing the enterprise data governance framework, aligning policies, standards, data ownership models, and stewardship councils with business strategy and regulatory requirements. - Defining and enforcing data quality dimensions across critical data domains, owning the DQ metrics and reporting dashboard. - Leading the implementation of the data catalog, business glossary, and data lineage capabilities to enhance self-service and data discoverability. - Collaborating with legal, compliance, and risk teams to ensure compliance with GDPR, CCPA, HIPAA, and internal data privacy policies. - Establishing and chairing the Data Governance Council, fostering accountability among data owners and stewards across cross-functional working groups. - Working with data engineering teams to integrate automated data quality checks and validation rules into pipelines and ingestion workflows. - Driving data literacy through training programs, playbooks, and enablement resources for various business functions. - Managing and mentoring a team of data stewards and quality analysts to cultivate a high-performance culture. Qualifications: Required: - 8+ years of experience in data management, with at least 3 years leading governance or data quality programs. - Proven track record in building governance operating models from scratch. - Hands-on experience with data catalog/governance tools such as Collibra, Alation, Atlan, Purview, or equivalent. - Strong knowledge of data quality frameworks and proficiency in profiling/monitoring tools like Great Expectations, dbt, Monte Carlo, Soda. - Familiarity with GDPR, CCPA, and practical governance implications. - Excellent communication and stakeholder management skills. Preferred: - CDMP or equivalent DAMA certification. - Experience with cloud-native environments (AWS, Azure, GCP) and modern data stack (Snowflake, Databricks, dbt). - Exposure to MDM, data mesh, or data fabric concepts. - Background in regulated industries like financial services, healthcare, life sciences. - Proficiency in SQL and Python for data profiling and quality automation. As a Data Governance Lead at our Noida office on a 4-month contract engagement, your role involves: - Designing and operationalizing the enterprise data governance framework, aligning policies, standards, data ownership models, and stewardship councils with business strategy and regulatory requirements. - Defining and enforcing data quality dimensions across critical data domains, owning the DQ metrics and reporting dashboard. - Leading the implementation of the data catalog, business glossary, and data lineage capabilities to enhance self-service and data discoverability. - Collaborating with legal, compliance, and risk teams to ensure compliance with GDPR, CCPA, HIPAA, and internal data privacy policies. - Establishing and chairing the Data Governance Council, fostering accountability among data owners and stewards across cross-functional working groups. - Working with data engineering teams to integrate automated data quality checks and validation rules into pipelines and ingestion workflows. - Driving data literacy through training programs, playbooks, and enablement resources for various business functions. - Managing and mentoring a team of data stewards and quality analysts to cultivate a high-performance culture. Qualifications: Required: - 8+ years of experience in data management, with at least 3 years leading governance or data quality programs. - Proven track record in building governance operating models from scratch. - Hands-on experience with data catalog/governance tools such as Collibra, Alation, Atlan, Purview, or equivalent. - Strong knowledge of data quality frameworks and proficiency in profiling/monitoring tools like Great Expectations, dbt, Monte Carlo, Soda. - Familiarity with GDPR, CCPA, and practical governance implications. - Excellent communication and stakeholder management skills. Preferred: - CDMP or equivalent DAMA certification. - Experience with cloud-native environments (AWS, Azure, GCP) and modern data stack (Snowflake, Databricks, dbt). - Exposure to MDM, data mesh, or data fabric concepts. - Background in regulated industries like financial services, healthcare, life sciences. - Proficiency in SQL and Python for data profiling and quality automation.