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Data Manager

Posted about 2 months agoViewed

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💎 Seniority level: Manager, 5 years

📍 Location: United States

🏢 Company: RP Pro Services👥 51-100ConsultingInformation TechnologyWeb Design

⏳ Experience: 5 years

Requirements:
  • Proficiency in SQL for data querying and manipulation.
  • Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
  • Familiarity with data integration tools and ETL frameworks.
  • Strong understanding of data governance frameworks and data quality standards.
  • Ability to interpret and implement data security controls in compliance with federal regulations.
  • Bachelor’s degree in Data Science, Information Systems, or a related field. Equivalent experience may be considered.
  • Minimum of 5 years of experience in data management, data governance, or related roles.
  • Strong understanding of data governance frameworks, data quality standards, and data privacy regulations.
  • Experience managing large data sets, including data modeling, data warehousing, and ETL processes.
  • Strong collaboration skills and ability to engage with technical and non-technical stakeholders.
  • Must be eligible for a Public Trust Clearance
Responsibilities:
  • Develop and implement data management strategies, ensuring alignment with VA objectives and industry best practices.
  • Oversee data governance processes, ensuring data integrity, security, and quality.
  • Manage data architecture, ensuring proper data flow, storage, and accessibility.
  • Collaborate with technical teams to develop data models, schemas, and metadata strategies.
  • Establish data quality controls and validation processes to ensure accuracy and consistency.
  • Create and maintain comprehensive data documentation, including data dictionaries, standards, and policies.
  • Lead data migration efforts, ensuring data is securely transferred, transformed, and validated.
  • Provide technical guidance to teams on data integration, data warehousing, and data pipeline strategies.
  • Collaborate with stakeholders to define data requirements and ensure data assets align with mission objectives.
  • Develop and maintain dashboards, reports, and visualizations to support data-driven decision-making.
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