Senior Data Governance SME leading enterprise data governance strategies. Implementing data governance frameworks and collaborating with technical teams for data quality.
Responsibilities
Lead the development and execution of enterprise data governance frameworks, policies, and best practices.
Led the implementation of Informatica Enterprise Data Catalog (EDC) across multiple business domains to support metadata harvesting from sources like Oracle, Snowflake, Hive, SQL Server, and SAP.
Implement and operationalize Informatica Data Governance tools (EDC, Axon, IDQ) to support data cataloging, data lineage, quality monitoring, and stewardship.
Collaborate with data stewards, business analysts, and technical teams to ensure consistent definitions, standards, and processes across the data landscape.
Developed and deployed data profiling, cleansing, and standardization rules using IDQ across customer, product, and financial data domains.
Oversee the creation, curation, and maintenance of the Enterprise Data Catalog to enable enterprise-wide data visibility.
Manage data stewardship processes, enabling subject matter experts to own and resolve data issues.
Support regulatory compliance initiatives (e.g., GDPR, CCPA, HIPAA) by ensuring data governance practices are embedded into data lifecycles.
Defined and enforced data stewardship roles and responsibilities using Axon’s stewardship framework.
Monitor and report data quality metrics and lineage completeness, driving accountability across data owners.
Requirements
Bachelor’s or Master’s degree in Computer Science, Information Management, or a related field.
5-8+ years of experience in data governance, data management, or data architecture roles.
5+ years of hands-on experience with Informatica Data Governance tools.
Hands-on experience with Informatica Data Governance tools, including: Enterprise Data Catalog (EDC) – for metadata harvesting, catalog curation, and lineage tracking.
Axon Data Governance – for governance workflows, stewardship, and policy management.
Informatica Data Quality (IDQ) – for profiling, cleansing, rule development, and exception management.
Strong understanding of metadata, data lineage, reference data, master data, and data quality concepts.
Experience working in hybrid cloud/on-premise data environments (e.g., AWS, Azure, Snowflake, Databricks).
Benefits
Health insurance
Professional development opportunities • Flexible work arrangements
Job title
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