> Markdown version of [/jobs/ext/1468950-manager-data-management](https://www.wearedevelopers.com/jobs/ext/1468950-manager-data-management). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Manager, Data Management

- **Company:** Genius Road, LLC
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Databases, Data Architecture, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Stores, Data Virtualization, DevOps, Distributed Data Store, Meta-Data Management, Operational Data Store, DataOps, Enterprise Data Management, Data Ingestion, Snowflake, Ab Initio, Data Strategy, Data Lakes, Data Lineage, SAP MDG, Apache Kafka, Spark Streaming, Data Management, Video Streaming, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/1f11a347-42a4-4b00-ae01-027ae1164e7a

## About the Role

* 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

## 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


## Related Videos

- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering)
- [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture)
- [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)