Lead, Data Management

Experience; Muscat; On-site; OMR 42,000 - 60,000; Full time

Job summary

Experience seeks a seasoned Data Management professional to provide expert ownership of standards for Upstream Operated Assets - Planning & Performance. You will coordinate with vendors and government bodies to receive, QC, store, and publish Well, Log, and Reservoir data, and develop AI/ML tools to optimize cost and production.

You will work with subsurface and engineering teams to apply data science techniques, ensure governance, and maintain high data quality across upstream applications.

Qualifications

• 8+ years of experience in information technology and relevant business disciplines.
• Bachelor's degree in computer science, information technology, or engineering; postgraduate degree preferred.
• Experience with document management applications and large live data sets.
• Proficient in English; Arabic language desirable.

Responsibilities

• Execute end-to-end process for maintenance of Subsurface Databases.
• Manage well and reservoir data in shared drives.
• Collaborate with vendors to receive, QC, store and publish data.
• Develop and implement upstream data operating model and data standards.
• Define and govern data stewardship for upstream data assets.
• Contribute to upstream data strategy and governance initiatives.
• Promote data management principles via training and awareness.

Skills

Data management

Data governance

Machine learning

AI

WebGIS

Documentum D2

Big data

Data analysis

Data quality

Education

Bachelor's degree in CS/IT/Engineering

Postgraduate degree preferred

Tools

Documentum D2

WebGIS

Job description

Provide strong technical support on Data Management at Upstream Operated Assets - Planning & Performance, under Manager Data Management scope’s, acting expert owner of Data Management standards, by:(1) Interface and lead the interactions with specialized vendors to receive, QC, store and publish the relevant Well, Log and Reservoir data, (2) Interface with Government to maintain the relevant databases; in order to support Planning & Performance team to attain business goals, (3) Develop AI and machine learning tools to optimize cost and production and other critical streams, (4) Use data science to analyze the data and work closely with the subsurface and engineering technical teams on this analysis

The position will act in accordance with the Group’s Mission, Vision, Values & Strategies, as well as, policies, guidelines, and international standards, supported by an IT Technology platform, HSE standards, Omani’s government & other legal justifications, and best international practices in consonance with national objectives.

Main tasks and responsibilitie's

Execute end-to-end process for the maintenance of all existing Subsurface Databases

Execute end-to-end process for well and reservoir data in share drives

Work with Vendors to receive, QC, store and publish the relevant Well, Log and Reservoir data

Ensure and participate in the development and implementation of the upstream technical data operating model/data frameworks (i.e. governance, quality, etc.)/guidelines, roadmaps / data standards / best practices while maintaining the highest standards of data quality, accessibility, extraction and connectivity to the upstream Petro technical applications.

Define and govern the data stewardship for the company upstream technical data to ensure compliance with data governance, enhance data quality and ensure clear accountability for stewardship of the company data assets.

Participate in the development of the upstream technical data strategy, governance initiatives/activities (policies, procedures, structures, roles and responsibilities) to serve the upstream data users across OQEP and to maximize the upstream technical data full potential.

Promote across the organization awareness of general data management principles through knowledge sharing channels like awareness sessions, training, etc.

Develop and execute data science projects using machine learning and other data science analysis techniques

Work with vendors on new technologies related to data analysis and AI

Key interactions

Internal: Upstream

External: Specialized Contractors, Technical committees, Ministries

Notable Working Conditions. Office environment, Moderate to intensive computer screen use.

Education requirements

Bachelor’s degree in computer science/information technology/ or engineering preferably in subsurface discipline, postgraduate degree is preferable.

Language requirements

Excellent knowledge of written, read, and spoken English (required) Arabic - Native (desirable)

Background and experience

Competencies and skills

8+ years of experience in information technology and relevant business disciplines

Experience in Document management applications like Documentum D2

Experience in WebGIS application

Experience in handling large data sets

Experience in handling live data sources

Experience with machine learning, neural networks and AI

Soft:

Detail-oriented.

Interpersonal skills.

Reliable.

Problem-solving skills.

Organizational skills.

Strong written and verbal communication skills

Be organized.

Interest in helping businesses and organizations succeed through innovation and fresh thinking.

Ability to easily digest and simplify complex concepts into easy-to-understand summaries.

A flexible attitude to work assignments.