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Manager, Data Services in Frisco, TX at HUNTER Technical Resources

Date Posted: 5/30/2019

Job Snapshot

Job Description

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).