
Enterprise Data Governance Lead
21 hours ago
The ideal candidate will oversee data quality, consistency, and accessibility across various enterprise platforms and business units.
We are seeking a highly skilled Enterprise Data Governance Lead with strong expertise in defining and leading enterprise-wide data governance strategies, design, architecture, and experience in tools implementation like Informatica EDC/AXON, Collibra, Alation, MHUB, and other leading data governance tool platforms.
Main Responsibilities:- Create and maintain enterprise-wide data governance architecture frameworks and metadata models.
- Establish data governance strategies, policies, standards, and procedures for compliance processes.
- Conduct maturity assessments and change management efforts.
- Evaluate and recommend data governance frameworks and tools to meet enterprise business needs.
- Design and implement architectural patterns for data catalog, data quality, metadata management, data lineage, data security, and master data management (MDM) across various data platforms (e.g., data lakes, data warehouses, operational databases).
- Develop and manage data dictionaries, metadata repositories, and data catalogs.
- Architect technical and business metadata workflows and govern glossary approvals and workflows.
- Validate end-to-end lineage across multiple sources and targets.
- Design and enforce rules for classification, access, retention, and sharing data techniques.
- Analyze and define the enterprise business KPIs and validate data governance requirements.
- Collaborate with data stewards to define technical specifications for data quality rules, validation checks, and KPI reporting.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
- Ensure data compliance with relevant regulations like GDPR, HIPAA, CCPA, SOX, etc.
- Bachelor's/master's degree in information systems, computer science, or a related technical field.
- Strong knowledge of data governance, architecture techniques, and methodologies and experience in data governance initiatives is a must.
- 7 years of minimum experience in data governance architecture and implementation of data governance across business enterprises.
- Hands-on experience in designing and implementing architectural patterns for data quality, metadata management, data lineage, data security, and master data management.
- Strong hands-on expertise in Collibra (workflows, APIs, metadata integration, policy automation).
- Experience with ETL/ELT pipelines, data lineage capture, and data integration tools.
- Familiarity with data modeling (conceptual, logical, physical).
- Proficiency in SQL, Python/Java for integration and automation.
- Experience with SQL, back-end scripting, and APIs.
- Understanding of data governance principles and compliance practices.
- Proficiency in working with cloud platforms (AWS, Azure, or GCP).
- Knowledge of big data technologies (Hadoop/Spark, etc.) and data visualization and BI tools.
- Excellent communication and stakeholder management abilities.
- Strong analytical and problem-solving skills.
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