Manager, Data Management #3291

Genius Road, LLC; Dallas (TX); Hybrid; USD 120,000 - 190,000; Part time

Job summary

Genius Road, LLC in Dallas, TX seeks an experienced Manager, Data Management to lead a cross-functional team responsible for enterprise data architecture, governance, and modernization initiatives. This role oversees ODS, historical stores, and modern Lakehouse platforms, ensuring reliable, secure, scalable data solutions and strong data stewardship.

The ideal candidate has 10+ years in data management, 7+ years leading cross-functional teams, and proven experience implementing MDM and

Qualifications

• 10+ years in data management, data architecture, governance or related disciplines.
• 7+ years leading cross-functional teams including Data Architects, Data Analysts, Business Analysts, DBAs, PMs, MDM professionals.
• Strong experience with enterprise database platforms supporting operational and analytical environments.
• Proven experience implementing Master Data Management (MDM) programs and governance initiatives.
• Knowledge of data management, data integration, and MDM tools; Ab Initio is a plus.
• Experience building high-performing teams, capacity planning, workload balancing, resource allocation.
• Experience delivering enterprise data modernization, migration, and cloud transformation.
• Strong understanding of data quality, metadata, data lineage, retention, and compliance.
• Experience with modern data platforms (Databricks, Snowflake, Azure Synapse) and Data Lake/Lakehouse architectures.
• Experience with data virtualization platforms (Denodo) is preferred.
• Knowledge of ETL/ELT, data ingestion, streaming (Kafka, Spark Streaming), and distributed architectures.
• Experience in DevOps/DataOps or agile delivery environments.
• Excellent communication, stakeholder management, leadership, and problem-solving.

Responsibilities

• Lead and mentor a cross-functional data team with accountability and collaboration.
• Oversee data management functions supporting ODS, Historical Data Stores, and Lakehouse initiatives.
• Establish and enforce governance policies, architecture standards, and metadata practices.
• Drive improvements in data quality, availability, and MDM capabilities across platforms.
• Support Data Architects by removing blockers and promoting standardized architecture.
• Partner with technology and business leaders to align data strategy with priorities.
• Support modern Data Lake/Lakehouse implementations and migrations while maintaining governance.
• Manage delivery timelines, resources, risks, and stakeholder communications.

Skills

Leadership

Data governance

Data architecture

MDM programs

Cloud data platforms

Data quality & lineage

ETL/ELT

Data virtualization

DevOps/DataOps

Stakeholder comms

Tools

Ab Initio

Denodo

Databricks

Snowflake

Azure Synapse

Job description

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 Women’s Business Enterprise, an Equal Opportunity Employer and values diversity. All employment is decided on the basis of qualifications, merit and business need.