Description:
Defines the data governance strategy for the organization. Leads the planning, evaluating, and selecting the right data governance capabilities for the enterprise and helping Data staff to have the best skills, processes, and technologies possible.
Advisor to the leadership team on enterprise-wide data governance solutions and challenges
Manage enterprise data governance framework, strategy, and maturity
Implement and maintain solutions to manage data governance
Defines polices, standards and guidelines for data governance
Budget management for operational costs and data investments
Your Tasks
Manage enterprise data governance framework, strategy, and maturity
- Promote data governance to promote data access, quality, and analytical capability. Governance can include a user training program, a data roles model, and data standards. Strives to reduce the cost of managing data and increase the value of the data;
- Promote data literacy across NOC to upskill the organization on the value of data;
- Measure enterprise data maturity and set yearly plans to improvement goals;
- Represents the DM team and enterprise data stewards at leadership meetings. Develops and gives oral presentations on the power and value of data. Leads and/or serves on steering committees and helps leadership use its data effectively at these meetings. (i.e. Data Community, Data Council…etc);
- Applies expert knowledge and standards to analyze enterprise results and reports. Recommends and pursues collaboration and provides appropriate technical guidance to ensure the success of such collaborations. Interacts with business areas and IT on DM solutions.
Implement and maintain solutions to manage data governance
- Develops and maintains controls on data quality and sources to effectively manage risk associated with the use of data and analytics, as well as measure data qualities per department;
- Ensure the development of data quality rules and measurements on priority data as well as work with the business focal point to improve the findings;
- Lead the definition and maintenance of data and metadata catalogue, dictionaries, business user glossaries on relative tools leverage Oil and Gas standard practices;
- Evaluates business data challenges and propose solutions to overcome it.
Defines polices, standards and guidelines for data governance
- Develop and maintain information management policies, procedures, and guidelines relevant to the data management company needs;
- Lead the development and implementation of enterprise metadata standards, guidelines, and processes to ensure quality metadata and support for ongoing data governance;
- Ensures all policies, procedures, and guidelines are adhered to;
- Govern and overlooks the data sources to ensure its alignment with policies and best practices of handling stored data;
- Aligns with the data operations to ensure it fulfils the data governance requirements;
- Upskills developers on data governance and management.
Your Profile
- Bachelor’s degree from an accredited university in Information Management or an engineering/business related equivalent;
- 10+ years of experience in Data Management (D/IM) for Oil and Gas Upstream/Downstream Operations and Major Capital Projects;
- 5+ years of experience in a management/lead position working through the definition and implementations of similar engineering information projects;
- Solid track record implementing scalable data technology stacks and designing fault tolerant interfaces to data;
- Have a deep theoretical understanding and practical experience in the Data Governance including Data Management, Data Life Cycle and Data Stewardship;
- Good understanding of the data solutions used for different Data and Information Management such as Metadata management, Master data Management, Data Quality …etc;
- Experience in Project management and Stakeholder management;
- Experience in different data integration methods;
- Good understanding of Upstream and Downstream DIM requirements;
- Good Knowledge of Database systems, EDMS solutions and BI Technologies;
- Good Knowledge of Applications Architecture, Information Security Principles;
- Fluent English both spoken and written.