AI Strategy - Oil & Gas - Manager - Consulting

Location:

Anywhere in Country

• Manage engagement delivery, ensuring quality and risk management throughout the project lifecycle.
• Manage client relationships, focusing on revenue generation and the identification of new opportunities.
• Manage resource plans and budgets for engagements, ensuring alignment with performance objectives.
• Define and implement enterprise-wide AI and quantitative modeling strategy tailored to oil & gas value chains (e.g., asset optimization, drilling, trading, predictive maintenance).
• Establish AI governance frameworks that ensure responsible AI adoption, ethical use of data, model risk management, and alignment with evolving regulations.
• Design and operationalize Agentic AI solutions to automate reasoning, planning, and decision-making tasks in complex environments.
• Drive the prioritization of AI use cases based on business value, feasibility, and risk, ensuring ROI on AI initiatives.
• Lead multidisciplinary teams of data scientists, engineers, and consultants to deliver end-to-end AI platforms and solutions.
• Partner with senior business and IT leaders to identify strategic opportunities and shape AI-enabled business transformation.
• Implement and scale Model Ops and MLOps practices, ensuring transparency, reproducibility, and monitoring of models in production.
• Lead AI solution architecture, including hybrid deployments on cloud (e.g. Microsoft Azure, Amazon AWS).
• Serve as a thought leader in emerging AI technologies, including Generative AI, foundation models, RAG and Agentic AI.
• Drive internal capability building and innovation in Responsible AI, agentic workflows, and energy sector-specific solutions.

• Strong analytical and decision-making skills to develop solutions to complex problems.
• Proven experience in managing client relationships and leading teams.
• Ability to communicate effectively and influence stakeholders at all levels.

• Bachelor’s degree required;
  Master’s degree preferred with focus in Computer Science, Applied Math, or related field with prior consulting experience required.
• 5+ years of experience in technology consulting, digital transformation, or AI-driven business solutions.
• 3+ years of leading AI/ML projects, including team management and executive stakeholder engagement.
• Typically, no less than 5 years of relevant experience.
• Strong expertise in AI Platforms and Tools.
• Proficiency in Data Architecture Design and Modelling.
• Experience in Digital Transformation and IT Effectiveness Assessment.
• Knowledge of Emerging Technologies and Technology Strategy, Vision, and Roadmap.
• Ability to build and manage relationships effectively.
• Strong exposure to oil & gas industry operations, value levers, and use case landscape.
• Proven success in developing AI strategy and governance models, including frameworks for Responsible AI, risk, and compliance.
• Hands-on experience with Generative AI frameworks (e.g., OpenAI, Hugging Face, Lang Chain, RAG).
• Experience architecting and scaling MLOps platforms and data science workflows in cloud-native environments.
• Proficiency in Python and tools like Pandas, PyTorch, Scikit-learn, Spark, SQL.
• Experience with CI/CD, containerization (e.g., Docker, Kubernetes), and MLFlow or similar tools.
• Strong client-facing skills with the ability to articulate technical topics to business executives.

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600.
  
  Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
• Join us in our team-led and leader-enabled hybrid model. Our expectation is for most…