Manager, Data Management #3291

Genius Road

  • Dallas, Texas
  • 16 days ago
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    Skills

    • Apache Kafkaunmatched
    • Architectural Analysisunmatched
    • Business Analysisunmatched
    • Business Strategyunmatched
    • Capacity Managementunmatched
    • Cloud Computingunmatched
    • Communication Skillsunmatched
    • Continuous Improvementunmatched
    • Cross-Functionalunmatched
    • Data Analysisunmatched
    • Data Lakeunmatched
    • Data Managementunmatched
    • Data Migrationunmatched
    • Data Processingunmatched
    • Data Qualityunmatched
    • Database Administrationunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Delivery Managementunmatched
    • DevOpsunmatched
    • Diversityunmatched
    • Enterprise Architectureunmatched
    • Hardware Virtualizationunmatched
    • Information/Data Security (InfoSec)unmatched
    • Leadershipunmatched
    • Manufacturing Data Managementunmatched
    • Master Data Management (MDM)unmatched
    • Mentoringunmatched
    • Metadataunmatched
    • Microsoft Windows Azureunmatched
    • Multiplatform/Cross-Platformunmatched
    • Operational Auditunmatched
    • Operational Supportunmatched
    • Problem Solving Skillsunmatched
    • Process Improvementunmatched
    • Project/Program Managementunmatched
    • Quality Managementunmatched
    • Regulatory Complianceunmatched
    • Resource Managementunmatched
    • Snowflake Schemaunmatched
    • Streaming Technologyunmatched
    • Team Lead/Managerunmatched
    • Time Managementunmatched

    Description

    Manager, Data Management
    Contract Position: 12 months + potential extension
    Location: Dallas, TX (Local candidates only - Hybrid schedule)

    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.

    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

    Responsibilities
    • 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



    Genius Road, LLC is proud to be a Certified Women’s Business Enterprise, an Equal Opportunity Employer and values diversity. All employment is decided on the basis of qualifications, merit and business need.         
     

    Numbers & Facts

    LocationDallas, Texas
    Websitehttps://www.geniusroad.com

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