Data Architecture:
- Building and optimizing - big data- data pipelines, architectures, and data sets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
Operation and support
- Work closely with key business users to fulfill their data management needs.
- Perform root cause analysis on internal and external data/processes to answer specific business questions and identify opportunities for improvement.
Drive adoption & awareness:
- Socialize with key stakeholders the data assets available for use.
- Conduct regular training for internal teams to build a capability to efficiently consume the company's data asset. Realization of business value
- Measure & quantify business benefits realized against the IT investment in data assets.
- Identify areas of opportunity where the collected data can be leveraged to solve complex business problems.
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