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Manager, Applications Development, Data & Analytics
Ref No.: 18-01380
Location: Oakland, California
Position Type:Full Time/Contract
Start Date: 09/07/2018
 Job Title: Manager, Applications Development, Data & Analytics
Location: Oakland CA
Duration: Full Time
 
Manager, Applications Development, Data & Analytics will work closely with multiple teams across Business and IT to deliver enterprise data architecture to achieve enterprise strategic goals for data governance and data analytics, as well as provide support to the functions of the Data Governance Office. 
ESSENTIAL DUTIES & RESPONSIBILITIES
  • Manage the team to implement integrated enterprise-wide data architecture and data analytics solutions.
  • Deliver a data analytics architecture that achieves data automation, reconciliation, traceability, lineage and transparency and provides actionable, timely and accurate data to drive business insights around technology enablement, digital transformation and enterprise intelligence.
  • Provide data analytics services to help business partners solve business problems, drive value, and gain strategy and insight from information.
  • Use advanced data analysis techniques and architectures that leverage technology to process large volumes of data to perform complex computations in a scalable, reproducible and automated manner.
  • Support data governance in managing the data custodian function, including the collection, storage, usage and quality of information; data dictionary, data lineage, and data reconciliation; and enterprise data governance tools and software.
  • Manage and motivate teams with diverse skills and backgrounds.
  • Consistently deliver quality services by monitoring progress and active management of deliverables. Demonstrate in-depth technical capabilities and professional knowledge.
  • Collaborate with business and technical managers during project execution for scope, budget and planning management.
MINIMUM REQUIREMENTS
  • Bachelor's degree in Computer Science, Operations Research, Mathematics, Statistics, Economics, Engineering or a related field and 5 years of progressive, post-baccalaureate related work experience; or a master's degree in Computer Science, Operations Research, Mathematics, Statistics, Economics, Engineering or a related field and 4 years of related work experience.
  • Must have 5 years of recent hands-on experience using advanced analytics, machine learning or artificial intelligence to solve business problems.
  • Must have 5 years of experience managing a team of developers, analysts, and engineers, including project management.
  • Must have 3 years of recent hands-on programming experience in at least 2 of the following R, Python, SAS, SPSS, and/or other analytics tools and languages.
  • Must have 3 years of recent hands-on experience with SQL, RDMS, and modern data platforms, and Data Visualization skills using Tableau, Power BI, Spotfire, and/or D3.js.