Manager, Data Management #3291

Genius Road

Job Location:

Dallas, TX - USA

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

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

We are seekingan experiencedManager Data Managementto leada cross-functionalteam responsible forenterprise data architecture governance and modernizationinitiatives. This rolewill oversee OperationalData Stores (ODS) Historical Data Stores and the evolutionto modern DataLake/Lakehouse platformswhile ensuring reliable secure and scalabledata solutions. Theideal candidate combinesstrong leadership capabilitieswith expertise indata management governance MDM and enterprisedata 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 anddevelop a cross-functional data teamwhile fostering accountability collaboration andcontinuous improvement
Manage enterprise datamanagement functions supportingODS Historical DataStores and DataLake initiatives
Establish and enforcedata governance policies architecture standards metadata practices datalineage and compliancerequirements
Drive improvements indata quality availability and MDM capabilities acrossenterprise platforms
Support Data Architectsby removing blockers establishing standards and promoting consistentarchitecture practices
Partner with technology enterprise architecture engineering and businessleaders to aligndata strategy withorganizational priorities
Support implementationof modern DataLake/Lakehouse platformsand migration fromlegacy environments whilemaintaining governanceand architecture continuity
Manage delivery timelines resources risks andstakeholder communicationsacross concurrent datainitiatives

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

Required Experience:

Manager

Manager Data ManagementContract Position: 12 months potential extensionLocation: Dallas TX (Local candidates only - Hybrid schedule)We are seekingan experiencedManager Data Managementto leada cross-functionalteam responsible forenterprise data architecture governance and modernizationinitiatives. T...

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 anddevelop a cross-functional data teamwhile fostering accountability collaboration andcontinuous improvement
Manage enterprise datamanagement functions supportingODS Historical DataStores and DataLake initiatives
Establish and enforcedata governance policies architecture standards metadata practices datalineage and compliancerequirements
Drive improvements indata quality availability and MDM capabilities acrossenterprise platforms
Support Data Architectsby removing blockers establishing standards and promoting consistentarchitecture practices
Partner with technology enterprise architecture engineering and businessleaders to aligndata strategy withorganizational priorities
Support implementationof modern DataLake/Lakehouse platformsand migration fromlegacy environments whilemaintaining governanceand architecture continuity
Manage delivery timelines resources risks andstakeholder communicationsacross concurrent datainitiatives