Leads and provides specialized Upstream petro technical support activities covering, first-line application support, provides technical advice to end users on best practices, application alternatives and workflow.
Manage and develop the enterprise Upstream data hub while sourcing data from various databases/applications. Responsible for building scalable data platforms, and large-scale processing systems that enable advanced analytics and support data teams across the enterprise. Provide all AI related technical support from available “Big Data” perspective and provides expertise support role to make access to data available and assist in providing data relationship insight to shift toward AI ecosystem.
Job Specific Accountabilities
Responsible for designing, building & managing the advanced analytics platform to support Upstream Information Management user community and ensures high quality level of professional experience is being provided to cover the required support.
Leads Big Data and batch/real-time analytical solutions leveraging transformational technologies.
Translates complex functional and technical requirements into detailed architecture, design, and high performing software
Ensures all automated processes preserve data by managing the alignment of data availability and integration processes.
Communicate priority Big Data and Machine Learning Platform enhancements proactively to customers in an actionable format.
Lead the planning and implementation of ADNOC Upstream Data Hub that bring all Upstream Information Management capabilities together in a consistent manner and provide one integrated place to deliver upstream data to business users, while reducing their time to search and retrieve upstream information
Provide support to technical users (Upstream end users) of current system for the provision of required data. Defines data integration requirements/procedures with other Group companies’ systems.
Build and operate stable, scalable and highly performant data pipelines that cleanse, structure and integrate disparate big data sets into a readable and accessible format for end user analyses and targeting.
Provides first-line applications support to the Upstream engineers’ community. Reports and escalates major application failures and bugs to vendors, and follows it up until they are fixed.
Lead building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL or any technologies.
Helps transition from current ETL platform to Big data ELT landscape
Provide platform and tooling support for the Big data environment.
Responsible for building analytic applications using statistical, database, and/or general programming languages and tools.
Identify continual improvement of all solutions and explore new cutting edge advanced analytic techniques
Provide specialized database support services and coordinate the activities in the formulation and implementation of an integrated solution and data management strategy.
Liaise and follow-up with ADNOC and group of companies to oversee all Upstream related solution issues / requirements and identify required corrective actions.
Develop frameworks and processes to analyze unstructured information collected through internal and external data sources
Enhance information visualization through development of dashboards and user interfaces
Drive a user centric environment within Upstream Information Management Solutions to ensure deploying the right solution based on user needs and Upstream overall strategic objectives.
Manage the technical support for Upstream Information Management user community and ensures high quality level of professional experience is being provided to cover the required support.
Identify the impact of requirements on upstream and downstream solution components.
Provide recommendations to management and business stakeholders on how to integrate requirements with current systems and business processes across regions or domains.
Identify and validate value gaps and opportunities for process enhancements or efficiencies.
Support solution design by providing insight at design sessions with IT teams to help translate requirements into workable business solutions.
Identify and recommend additional data and/or services needed to address key business issues related to process or solutions design.
Identify and optimize data connectivity requirements with different applications, e.g., 3D modeling, geological correlation, etc. for corporate utilization.
Plan, supervise and coordinate all activities in the assigned area to meet functional objectives.
Train and develop the assigned staff on relevant skills to enable them to become proficient on the job and deliver the respective team objectives.
Provide input for preparation of the Department/ Team budgets and assist in the implementation of the approved Budget and work plans to deliver Team objectives.
Investigate and highlight any significant variances to support effective performance and cost control.
Implement approved Department / Team policies, processes, systems, standards and procedures in order to support execution of the Department / Team’s work programs in line with Company and International standards.
Comply with all applicable legislation and legal regulations.
Contribute to the achievement of the approved Performance Objectives for the Department / Team in line with the Company Performance framework.
Design and implement new tools and techniques to improve the quality and efficiency of operational processes.
Identify improvements in internal processes against best practices in pursuit of greater efficiency in line with ISO standards in order to define intelligent solutions for issues confronting the function.
Comply with relevant HSE policies, procedures & controls and applicable legislation and sustainability guidelines in line with international standards, best practices and ADNOC Code of Practices
Provide inputs to prepare Team MIS and progress reports for Company Management
QUALIFICATIONS, EXPERIENCE, KNOWLEDGE & SKILLS:
Bachelors’ Degree in Petroleum Engineering, Geology, Reservoir Engineering, Geophysics or equivalent.
Minimum 10 years’ experience in petroleum development covering exploration, reservoir engineering, drilling operations, production operations and geosciences supplemented with experience in database management including database modeling.
Good technical presentations skills.
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