Data Management Manager

We are seeking an experienced Data Management Manager to lead a large-scale data organization responsible for enterprise data platforms, governance, and modernization initiatives. This role will oversee both legacy and modern cloud-based data environments while driving the transformation to Data Lake and Lakehouse architectures. If you are passionate about leading high-performing teams and delivering enterprise data strategy, we want to hear from you. What You'll Do Lead, mentor, and develop a team of 40–50 data professionals, including engineers, analysts, and operations staff. Drive data governance, quality, lineage, cataloging, and compliance initiatives. Establish operational excellence through SLAs, monitoring, incident management, and performance optimization. Partner with technology, architecture, and business stakeholders to align data strategy with organizational goals. Lead enterprise data modernization programs, including migration from legacy platforms to cloud-based Data Lake and Lakehouse solutions. Implement best practices for data ingestion, transformation, storage, and scalable cloud-native services.

8+ years of experience in data management, data engineering, or data operations. 5+ years of leadership experience managing large teams (20+ professionals). Strong experience with enterprise data platforms such as SQL Server, Oracle, or Teradata. Hands-on experience with modern data architectures, including Data Lakes, Lakehouse’s, and cloud platforms. Proven success leading data modernization, migration, or transformation initiatives. Strong understanding of ETL/ELT processes, data modeling, and distributed data systems. Experience with cloud platforms such as Azure, AWS, or GCP.

Preferred Qualifications Experience with Databricks, Snowflake, Azure Synapse, or Hadoop ecosystem technologies. Knowledge of Master Data Management (MDM) and enterprise data management tools. Experience with streaming and real-time data technologies such as Kafka or Spark Streaming. Familiarity with DevOps and DataOps practices. Cloud or data platform certifications.