Data Management Analyst

Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

We are seeking a Data Management Analyst to join Reliability & Asset Management Division. The Reliability & Asset Management Division is responsible for monitoring and diagnosing High Voltage assets that are operated or maintained by Power Systems. This function is targeting increase in power supply reliability and improvement in overall efficiency. Your primary role is to perform all data management activities for a particular business area, ensure compliance with relevant laws and regulations, implement data management initiatives, support adoption of corporate data standards and guidelines, and improve data quality.

Key Responsibilities

• Assist in performing data stewardship responsibilities which include ensuring compliance with applicable National Data regulations and laws including NDMO and PDPL.
• Assist in implementing and enforcing corporate data governance and management policies, GIs and standards.
• Check and monitor data quality, as well as identify, log and manage data quality issues.
• Work with stakeholders to perform root cause analysis, and resolve data quality issues quickly and effectively.
• Capture lineage of data and metadata, trace its origin/source, transformations and movement throughout its data lifecycle in order to understand data dependencies, track changes, ensure data integrity and comply with data sharing agreements.
• Assign appropriate data classifications for data assets based on their sensitivity and criticality.
• Define user access levels, permissions and sharing agreements, ensure data is accessed only by authorized individuals and is only retained for as long as needed.
• Assist in the development of business value use cases involving data analytics, Artificial Intelligence (AI) and Machine Learning (ML) and uphold ethical standards of AI within their Admin Area.
• Assess and improve data management processes, identify opportunities for enhancing data quality, efficiency, and governance, and drive initiatives to address gaps or inefficiencies.
• Engage closely with the Corporate Data Office, Data Custodians, IT, Technology teams and business stakeholders.
• Spread awareness and know-how of the data management program across respective business area.
• Support in privacy compliance activities for respective business area by ensuring Data Privacy is embedded into change management processes, assist in performance of Privacy Impact Assessments (PIAs), increase awareness of the importance of Data Privacy and act as focal point for all Data Privacy enquiries.

Qualifications

As the successful candidate you will hold a Bachelor Degree in Computer & Information Systems, Computer Engineering, Management Information Systems or related discipline from an accredited university. Advanced degree is a plus. You will have a minimum of 10 years of experience in data management. CDPM or Data Steward Certifications are a plus. You will be able to demonstrate analytical capabilities. You will have effective English communication and technical report writing skills.