1- Results orientation, willingness to commit to a direction and drive operations to completion
2- Collaborative team player orientation towards work relationships, strong culture awareness
3- Highly developed skills in priority setting and alignment of project priorities with Departmental strategy
4- Ability to break down complex problems and projects into manageable goals
5- Ability to get to the heart of the problem and make sound and timely decisions to resolve problems
1- To define and execute processes in order to ensure smooth governance of enterprise data as per defined roadmap including strategic priorities for development of information-based capabilities
2- Engage all data stakeholders (producers and consumers) at an enterprise level in order to ensure that defined roles and responsibilities are being carried out as per data governance framework
3- To define processes focusing on improvement of data quality and the protection of sensitive data through modifications to organization behavior policies and standards, principles, governance metrics, processes, related tools and data architecture
4- To develop automated processes in order to monitor the flow of data from source to information systems and then on final information products available for information users.
5- Serve as a liaison between Business and Functional areas and technology to ensure that data related business requirements for protecting sensitive data are clearly defined, communicated and well understood and considered as part of operational prioritization and planning
6- Develop & maintain inventory of the enterprise information maps, including authoritative systems, owners
7- To monitor the process of managing the flow of data in case of anomalies and take proactive measure to engage all stakeholders to escalate the variation and address the issue timely
8- Facilitate the development and implementation of data quality standards, data protection standards and adoption requirements across the enterprise
9- Regularly monitor the indicators of performance and quality metrics and ensure compliance with data related policies, standards, roles and responsibilities, and adoption requirements
10- Develop automated mechanism to direct the flow of data and raise alarms in case of abnormal data trends to ensure the quality of final data products for end business users.
11- Agree with business on the acceptance criteria for accuracy of figures in the final data products and define SLA with respective teams to maintain the required quality at any given point in time.
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