AI Strategy - Oil & Gas Sector - Senior Manager - Consulting - Location OPEN

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 ModelOps 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.

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