Collaborate closely with cross-functional teams, including data scientists, engineers, and domain experts, to identify and define business opportunities for AI applications

Conduct in-depth analysis of existing upstream processes to uncover pain points, inefficiencies, and potential areas for improvement

Develop and refine business use cases for generative AI, aligning them with strategic objectives and measurable outcomes

Translate complex business requirements into clear and concise specifications for AI model development and deployment

Define and track key performance indicators (KPIs) to measure the impact of AI solutions on business performance

Collaborate with UI/UX designers to ensure that AI-driven solutions are user-friendly and meet the needs of end-users

Stay up-to-date with the latest advancements in generative AI and evaluate their potential applications in the oil and gas industry

At least 5 years of relevant experience in business analytics or related fields

At least 2 years in Lead, Manager, Owner, Architect, or Coordinator roles

At least 1 year of experience in leading a team of at least 5 employees

Participation in at least 2 full cycle projects or several projects covering different phases of the development lifecycle

Experience in business analysis with a focus on process improvement and data-driven decision making

Proven experience working with generative AI models and their applications in a business context

Strong understanding of the oil and gas industry, preferably with experience in upstream operations

Proficiency in data analysis and visualization tools such as Python, SQL, Tableau, Power BI

Excellent communication and interpersonal skills with the ability to explain complex technical concepts to non-technical stakeholders

Strong problem-solving and analytical skills

Excellent speaking and writing skills in English at a B2 level or higher

Experience with seismic data analysis

Experience with agile development methodologies

Knowledge of machine learning and deep learning concepts

Familiarity with cloud platforms such as AWS, Azure, GCP