Data Management Manager
BRAVO TECHNICAL RESOURCES
Dallas, TX, United States
17 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Microsoft Azure
Databases
Data Architecture
Data Governance
Data Infrastructure
Data Security
Google Cloud
Data Lakes
Data Management
Job description
We’re seeking a strategic and hands-on Data Management Manager to lead enterprise data initiatives across operational, historical, and next-generation data platforms. You’ll oversee data architecture, governance, and modernization efforts, while driving the transition to scalable, cloud-based data solutions. This is a high-impact leadership role focused on building strong teams, improving data quality, and enabling data-driven decision-making., * Lead and mentor cross-functional teams (Data Architects, Analysts, DBAs, PMs)
- Drive data governance, quality, and master data management initiatives
- Establish data architecture standards, policies, and best practices
- Partner with engineering and leadership on data platform transformation
- Oversee migration to modern data platforms (Data Lake/Lakehouse)
- Ensure compliance, data security, and regulatory standards
- Manage delivery timelines, risks, and multiple concurrent initiatives
Requirements
- 10+ years in data management, data architecture, or data governance
- 7+ years leading cross-functional data teams
- Strong experience managing enterprise database platforms
- Proven success in Master Data Management (MDM) programs
- Experience driving data governance and quality frameworks
- Ability to manage high-volume, fast-paced environments
- Strong leadership, communication, and stakeholder management skills, * Experience with Data Lake / Lakehouse architectures
- Exposure to cloud platforms (AWS, Azure, Google Cloud Platform)
- Experience in data platform transformation or modernization
- Background working with enterprise-scale data ecosystems
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