Want to know if you’re a fit? Upload your resume and let our AI show you.
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
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.