Manager, Data Management
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Job description
We are seeking an experienced Manager, Data Management to lead a cross-functional team responsible for enterprise data architecture, governance, and modernization initiatives. This role will oversee Operational Data Stores (ODS), Historical Data Stores, and the evolution to modern Data Lake/Lakehouse platforms while ensuring reliable, secure, and scalable data solutions. The ideal candidate combines strong leadership capabilities with expertise in data management, governance, MDM, and enterprise data transformation., * Lead, mentor, and develop a cross-functional data team while fostering accountability, collaboration, and continuous improvement
- Manage enterprise data management functions supporting ODS, Historical Data Stores, and Data Lake initiatives
- Establish and enforce data governance policies, architecture standards, metadata practices, data lineage, and compliance requirements
- Drive improvements in data quality, availability, and MDM capabilities across enterprise platforms
- Support Data Architects by removing blockers, establishing standards, and promoting consistent architecture practices
- Partner with technology, enterprise architecture, engineering, and business leaders to align data strategy with organizational priorities
- Support implementation of modern Data Lake/Lakehouse platforms and migration from legacy environments while maintaining governance and architecture continuity
- Manage delivery timelines, resources, risks, and stakeholder communications across concurrent data initiatives
Requirements
- 10+ years of experience in data management, data architecture, data governance, or related disciplines
- 7+ years of leadership experience managing cross-functional teams including Data Architects, Data Analysts, Business Analysts, Logical DBAs, Project Managers, and MDM professionals
- Strong experience managing enterprise database platforms supporting operational and analytical environments
- Proven experience implementing Master Data Management (MDM) programs and enterprise data governance initiatives
- Knowledge of data management, data integration, and MDM tools; experience with Ab Initio is a plus
- Experience building high-performing teams, managing capacity planning, workload balancing, and resource allocation
- Experience delivering enterprise data modernization, migration, and cloud transformation initiatives
- Strong understanding of data quality, metadata management, data lineage, retention policies, and compliance requirements
- Experience with modern data platforms such as Databricks, Snowflake, Azure Synapse, or similar technologies
- Familiarity with Data Lake/Lakehouse architectures, including Medallion Architecture concepts
- Experience with data virtualization platforms such as Denodo is preferred
- Knowledge of ETL/ELT processes, data ingestion, streaming technologies (Kafka, Spark Streaming), and distributed data architectures
- Experience working within DevOps, DataOps, or agile delivery environments
- Excellent communication, stakeholder management, leadership, and problem-solving skills
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