Deloitte Oracle Analytics Cloud Manager - AI & Data Engineering in Charlotte, North Carolina
AI & Data Engineering
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The AI & Data Engineering (AI&DE) team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
AI&DE will work with our clients to:
Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements
6+ years of relevant technology architecture consulting or industry experience in Consulting and the Oracle products.
Experience with Oracle Data Integration ideally around on-prem and cloud based data integration strategies, Big Data, Cloud and Business Intelligence products & applications.
Experience managing cloud projects.
Proficient in one or more Oracle products: Oracle Cloud Services (OCS), Oracle Business Intelligence Technologies and applications (OAC, BICS, OTBI, Oracle R, Oracle BI Appliances, Oracle Data Integrator (ODI) or Oracle GoldenGate.
Experience with traditional Data Warehousing implementations and OBIEE, OBIA is a plus however must have experience with above referenced technologies and strategies for implementation and design.
Provide support on data quality components during the implementation of the solution architecture.
Provide technical recommendations for optimized data access and retention for the data warehouse.
Provide oversight support to the design, development and QA teams.
Define areas of improvement to optimize data flows.
Identify strategy for data acquisition and archival.
Bachelor's Degree or equivalent professional experience.
Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
Limited immigration sponsorship may be available.
Qualified candidates are also required to have at least one full lifecycle project experience in one or more of the following areas:
Development of statements of work and/or client proposals.
Identify business opportunities to increase usability and profitability of information architecture.
Experience with program leadership, governance and change enablement.
Develop and manage vendor relationships.
Lead workshops for client education.
Manage resources and budget on client projects.
Ability to scope out the effort and cost for an enterprise reporting solution.
Ability to define how an enterprise information system will align with the organization's business and strategic objectives.
Ability to manage multiple teams on a data warehousing engagement.
Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
Eagerness to mentor junior staff.
An advanced degree in an area of specialization is preferred.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.