Data Governance
Actively Reviewing the ApplicationsenGen Global
Job Description
We are seeking an experienced Data Governance SME to be part of our upcoming data 2026 data initiatives. This role requires deep experience in implementing enterprise level modernization programs, strategic initiatives in Data Governance, Catalog space & Data Quality.
Experience and Skillset
• 10-12+ years of experience in data management – Data Engineering, Data Integration, Business intelligence, with a strong focus and expertise in data governance and data cataloging, data observability, Data Quality
• In-depth understanding of data governance principles & frameworks, compliance needs and best practices. Propose and implement improvements to data governance processes and tools
• Proven experience in defining and implementing data policies, standards, and processes in modern cloud platforms and BI applications, with good understanding of concepts policy authoring, authentication and authorization
• Demonstrable hands-on experience with modern enterprise data catalog platforms, specifically Atlan (preferred) or Alation, AWS Glue, Unity Catalog, Apache Polaris (preferred), Data Hub
• Strong understanding of metadata management concepts, data lineage, and data quality, data observability with real-time implementation experience in tools like Monte Carlo, Dynatrace
• Good understanding with diversified data platforms and technologies
• Data lakes, data warehouses, SQL databases, NoSQL databases
• Open table formats – Iceberg (Preferred), Delta, Hudi
• Cloud platforms like GCP (Preferred), AWS, Azure
• Modern data stack tools (Spark, Scala, Pyspark/Databricks etc) and/or traditional ETL tools – Informatica BDM with deep understanding of ELT, ETL Concepts
• Data orchestration tools (Airflow, Control-M etc) & BI Applications – Tableau/PowerBI
• Experience (or) Exposure in enabling trusted data for downstream for AI & Agentic AI applications and Machine Learning Models delivering actionable insights impacting efficiency.
• Understanding of Master data management
• Excellent analytical, problem-solving, and communication skills (written and verbal).
• Demonstrate domain competency, Healthcare (preferred) with ability to translate complex concepts into clear, concise business language.
• HC Compliance/Standards -
• Strong interpersonal skills with the ability to influence and collaborate effectively across all levels of the organization.
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