Data Management Head  

The principal function of this position is planning, oversight, implementation and management of the enterprise data assets and the technology supporting the data life cycle of SNAP.

The responsibilities associated with this Position include:

• Define and communicate the organization’s data management strategy and roles and responsibilities
  • Define how to manage and improve the organization’s data assets, in line with enterprise strategy and objectives.
  • Communicate the data management strategy to all stakeholders.
• Define and maintain a consistent business glossary.
  • Create, approve, update and promote consistent business terms and definitions to foster shared data usage across the organization.
• Establish the processes and infrastructure for metadata management.
  • Establish the processes and infrastructure for specifying and extending metadata about the organization’s data assets, fostering and supporting data sharing, ensuring compliant use of data, improving responsiveness to business changes and reducing data-related risk.
• Define a data quality strategy.
  • Define an integrated, organization-wide strategy to achieve and maintain the level of data quality (such as complexity, integrity, accuracy, completeness, validity, traceability and timeliness) required to support the business goals and objectives.
• Establish data profiling methodologies, processes and tools.
  • Implement standardized data profiling methodologies, processes, practices, tools and templates that can be applied across multiple data repositories and data stores.
• Ensure a data quality assessment approach.
  • Provide a systematic approach to measure and evaluate data quality according to processes and techniques, and against data quality rules.
• Define the data cleansing approach.
  • Define the mechanisms, rules, processes, and methods to validate and correct data according to predefined business rules.
• Manage the life cycle of data assets.
  • Ensure that the organization understands, maps, inventories and controls its data flows through business processes over the data life cycle, from creation or acquisition to retirement.
• Support data archiving and retention.
  • Ensure that data maintenance satisfies organizational and regulatory requirements for availability of historical data. Ensure that legal and regulatory requirements for data archiving and retention are met.
• Manage data backup and restore arrangements.
  • Manage availability of critical data to ensure operational continuity.
• Change Management
  • Lead in the culture change in SNAP to be a data-driven organization
  • Anticipate outcome of process change and its impact and effect on data, processes, people, and organization.
  • Recommend strategies on how to manage impact of the changes on information flow and the tools that support the processes.
  • Review and ensure the effective implementation of the change management plan prior to implementation of data management initiatives.
• Project Management:
  • Apply project management methodologies in managing data management activities

• Degree in Information Technology or quantitative field
• Relevant experience in data management, data warehousing, data architecture, analysis and design tools, programming using SQL, R, Python
• Familiar with modern databases and IT systems (i.e. Google Cloud Platform, Google Big Query)
• Thorough and proven understanding of the principles of data management and administration
• Familiar with modern databases and IT systems and how they work (i.e. Google Cloud Platform, Google Big Query)
• Possess understanding of business architecture and its integration to technology and/or applications
• Can grasp the process and structure of functional units
• Possess understanding of process and data applications such as BPMN, Archimate, Object-Role-Modeling
• Possess understanding of Project Management methodologies (i.e. PMBOK, Prince, Method123)
• Possess familiarity on power industry business objectives and operations, basic financial concepts, and customer experience and touchpoints
• Possess understanding of numbers, their relationships, combinations, operations, shapes and their structure, reasoning, measurement, classification, and patterns
• Possess familiarity of risk and control frameworks, and their integration with business process
• Excellent leadership, communications and presentation skills and possess the ability to facilitate trainings