Manager, Data Services

Frisco, TX 75034

Posted: 05/29/2019 Employment Type: Direct Hire Category: Data Warehousing Job Number: 52730

The primary responsibility of the Manager, Data Services is to collaborate with internal and external stakeholders across the organization to develop sustainable solutions that support data-driven decision making while acting as a champion for Data, Visualization and Analytics services. You will lead a team to architect, build, and support a common data and analytics platform integrating new and existing data sources and eliminating data silos.

• Define, build and execute the Data Services, Visualization and Analytics roadmap.
• Review data accuracy and completeness while implementing high quality data service, visualization and analytics solutions that fit the needs of the business and external customers.
• Design and maintain ETL, Visualization and Analytics standards and documentation
• Act as subject matter expert in the topics of data warehousing, Data lake, ETL, data architecture, data management, data quality, data visualization, and data analytics.
• Proactively identify opportunities and technologies regarding the access, processing, visualization, and analysis of data.
• Ensure that technical solutions are designed and implemented which enhance the data integration, data architecture, scalability and technical standards and objectives.
• Support and facilitate data visualization and analytics presentations to a wide audience of internal and external stakeholders.
• Lead data validation and analytics testing.
• Facilitate the design and implementation of data products made available for internal and external customers.

• Demonstrated experience working collaboratively with business users and senior-level management to determine data service, data visualization and data analytics needs along with effective delivery methods.
• Familiarity with traditional and emerging data, visualization and analytics technologies including RDBMS and NoSQL technologies, data virtualization tools, cloud technologies, machine learning, and artificial intelligence.
• Experience designing and developing compelling and readily understandable reporting, information delivery, data visualization, predictive and prescriptive analytics and dashboard solutions.
• Strong organizational, analytical, and problem-solving skills, with the ability to balance multiple tasks with high attention to details.
• Excellent written and verbal communication skills including experience writing procedures for a complex IT/engineering/technical environment, documenting complex technical solutions, and delivering technical presentations to diverse audiences.
• Demonstrated experience in data integration including ETL and data pipeline solutions.
• Flexible and capable of prioritizing competing tasks, timelines, and work streams.
• Experience working effectively with remote teams.
• Experience working with Atlassian JIRA, Confluence and Bitbucket or Git equivalent.
• Familiarity and working practice of Agile Scrum development methodology.
• Experience with unit and integration testing systems.
• Excellent communication skills and the ability to articulate complex technology concepts to non-technologists.
• Expertise leveraging Amazon Web Services (AWS) technologies, e.g. EC2, S3, Redshift, RDS, Containers, CI/CD, etc.
• Expertise with data visualization tools, such as Microsoft Power BI or Tableau.
• Bachelor’ s Degree in Computer Science, Data Science or similar field; Master’ s Degree preferred.
• 5+ years specific experience with 2+ years managerial experience.
• 5+ years of experience with Data Management, Data Modeling, Information Retrieval, Data Analytics, Reporting and Process Analysis.
• Professional experience in the analysis and presentation of data utilizing large data stores.
• Experience in data integration, ETL, data maps and workflows, MS SQL Server, PostresSQL, MySQL, SQL Skills, SQL Developer and Excel.
• reporting and analytic offerings a plus.
• 5 years of experience with source control management systems (Git preferred).

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