AI Strategy - Oil & Gas - Senior Manager - Consulting

Join EY as a Senior Manager in AI Strategy, leading enterprise AI strategy and quantitative modeling efforts for clients in the Oil & Gas sector. You will bring deep industry expertise and a proven track record of designing and operationalizing responsible, scalable, and value-aligned AI solutions.

The opportunity involves leading high-impact client engagements focused on Generative AI, Agentic AI, MLOps, and AI governance frameworks, driving measurable outcomes in upstream, midstream, and downstream operations. You will leverage proprietary, industry-aligned business models and innovative operating model designs to deliver impactful AI investments.

Your key responsibilities include:

• Leading the delivery of complex AI strategies that enhance business effectiveness and efficiency.
• Managing client relationships, focusing on revenue generation and identifying new opportunities.
• Developing and managing resource plans and budgets for engagements, ensuring alignment with performance objectives.
• Defining and implementing enterprise-wide AI and quantitative modeling strategy tailored to oil & gas value chains.
• Establishing AI governance frameworks that ensure responsible AI adoption, ethical use of data, model risk management, and alignment with evolving regulations.
• Designing and operationalizing Agentic AI solutions to automate reasoning, planning, and decision-making tasks in complex environments.
• Driving the prioritization of AI use cases based on business value, feasibility, and risk, ensuring ROI on AI initiatives.
• Leading multidisciplinary teams of data scientists, engineers, and consultants to deliver end-to-end AI platforms and solutions.
• Partnering with senior business and IT leaders to identify strategic opportunities and shape AI-enabled business transformation.
• Implementing and scaling Model Ops and MLOps practices, ensuring transparency, reproducibility, and monitoring of models in production.
• Leading AI solution architecture, including hybrid deployments on cloud.
• Serving as a thought leader in emerging AI technologies, including Generative AI, foundation models, RAG, and Agentic AI.
• Driving internal capability building and innovation in Responsible AI, agentic workflows, and energy sector-specific solutions.

Skills and attributes for success include:

• 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.

To qualify for the role, you must have:

• Bachelor’s degree required;
  Master’s degree preferred with focus in Computer Science, Applied Math, or related field with prior consulting experience required.
• 10+ years of experience in technology consulting, digital transformation, or AI-driven business solutions.
• 5+ years of leadership in AI/ML projects, including team management and executive stakeholder engagement.
• 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.
• 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, and MLFlow or similar tools.
• Strong client-facing skills with the ability to articulate technical topics to business executives.

EY offers a comprehensive compensation and benefits package, including a base salary range of $144,000 to $329,100. The company is committed to providing reasonable accommodation to qualified individuals with disabilities and offers a flexible work environment.