Specialist, Digital & Analytics Solutions - ADNOC Drilling

JOB PURPOSE: Collaborate in elevating the analytics and automation landscape, contributing to meticulous planning, execution, and customization of AI-driven programs, robotic process automation, and other cutting-edge technologies. Assist in optimizing operations, fuelling revenue growth, enhancing customer experiences, and unlocking valuable insights. Provide specialized oversight within the Digital Analytics and Automation function, promoting innovation, efficiency, and data-driven decision-making practices. KEY ACCOUNTABILITIES: Job Specific Accountabilities Analytics and automation strategy development and implementation \u2022 Collaborate in developing forward-thinking analytics and automation strategies aligned with business and digital transformation goals. \u2022 Assist in evaluating current analytics and automation capabilities, understanding tools, processes, and data sources, and supporting strategies for adopting emerging analytics methodologies and AI solutions. Solution development and lifecycle management \u2022 Manage in-house development efforts for analytical and automation solutions across diverse business domains. \u2022 Oversee solution design, development, testing, and maintenance, ensuring that analytical and automation solutions remain adaptable to evolving business needs. AI and machine learning innovation \u2022 Aid in identifying, prioritizing, and developing AI and machine learning solutions that drive revenue generation, operational cost optimization, improved customer experiences, practical insights, and enhanced business performance. Web design and development \u2022 Manage the design and development of user-friendly web solutions across various platforms. \u2022 Ensure web solutions adhere to industry standards and trends, delivering cutting-edge applications. Dashboard development and implementation \u2022 Review and lead the development of required dashboards and high-level reports, ensuring alignment with business needs and digital objectives. \u2022 Ensure business users have access to timely and relevant information for informed decision-making. Emerging technologies integration \u2022 Participate in assessing the feasibility and potential of emerging technologies, such as RPA, augmented reality, and digital twins, to enhance operational processes and drive innovation. \u2022 Support the seamless integration of emerging technologies into existing processes in coordination with relevant teams. Collaboration with other digital and cybersecurity functions \u2022 Collaborate with the Technical Solutions and Corporate Solutions teams to align on application design and enhance UI and UX elements for improved usability and efficiency. Vendor management \u2022 Assist in the selection of vendors and contract negotiations, ensuring terms and SLAs align with organizational goals. \u2022 Support vendor performance monitoring and issue resolution, contributing to strong vendor relationships and quality service delivery. QUALIFICATIONS, EXPERIENCE, KNOWLEDGE & SKILLS: Minimum Qualification \u2022 Bachelor\u2019s degree in computer science, IT engineering or equivalent. Minimum Experience & Knowledge & Skills \u2022 10 years of experience in analytics and digital solutions, including 5 years of experience in a supervisory role JOB PURPOSE: Collaborate in elevating the analytics and automation landscape, contributing to meticulous planning, execution, and customization of AI-driven programs, robotic process automation, and other cutting-edge technologies. Assist in optimizing operations, fuelling revenue growth, enhancing customer experiences, and unlocking valuable insights. Provide specialized oversight within the Digital Analytics and Automation function, promoting innovation, efficiency, and data-driven decision-making practices. KEY ACCOUNTABILITIES: Job Specific Accountabilities Analytics and automation strategy development and implementation \u2022 Collaborate in developing forward-thinking analytics and automation strategies aligned with business and digital transformation goals. \u2022 Assist in evaluating current analytics and automation capabilities, understanding tools, processes, and data sources, and supporting strategies for adopting emerging analytics methodologies and AI solutions. Solution development and lifecycle management \u2022 Manage in-house development efforts for analytical and automation solutions across diverse business domains. \u2022 Oversee solution design, development, testing, and maintenance, ensuring that analytical and automation solutions remain adaptable to evolving business needs. AI and machine learning innovation \u2022 Aid in identifying, prioritizing, and developing AI and machine learning solutions that drive revenue generation, operational cost optimization, improved customer experiences, practical insights, and enhanced business performance. Web design and development \u2022 Manage the design and development of user-friendly web soluti

Bachelor's degree in computer science, IT engineering or equivalent. 10 years of experience in analytics and digital solutions, including 5 years of experience in a supervisory role.

Analytics and automation strategy development and implementation; collaborate in developing analytics and automation strategies aligned with business and digital transformation goals. Solution development and lifecycle management: manage in-house development efforts for analytical and automation solutions across diverse business domains; oversee solution design, development, testing, and maintenance. AI and machine learning innovation: identify, prioritize, and develop AI and ML solutions that drive revenue, cost optimization, and improved customer experiences. Web design and development: manage the design and development of user-friendly web solutions; ensure adherence to industry standards. Dashboard development and implementation: review and lead development of dashboards and reports; ensure timely access to information. Emerging technologies integration: assess feasibility of technologies like RPA, AR, and digital twins, and integrate into processes. Collaboration with other digital and cybersecurity functions: align on application design and enhance UI/UX. Vendor management: assist in vendor selection and contract negotiations; monitor performance and ensure quality service delivery.