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

EY • Clayton, MO

88d • $125,500 - $230,200

About The Position

As part of our growing AI & Data practice, we are seeking a highly experienced Senior Manager to lead enterprise AI strategy and quantitative modeling efforts for our clients in the Oil & Gas sector. This individual will bring deep industry expertise, along with a proven track record of designing and operationalizing responsible, scalable, and value-aligned AI solutions. You’ll lead high-impact client engagements focused on Generative AI, Agentic AI, MLOps, and AI governance frameworks — driving measurable outcomes in upstream, midstream, and downstream operations. As a Manager in AI Strategy, you will leverage proprietary, industry-aligned business models and innovative operating model designs to deliver impactful AI investments. You will be responsible for capability assessments, operating model design, product management, governance, and process design, ensuring that AI initiatives align with business strategies and stakeholder needs.

Requirements

• Bachelor’s degree required; Master’s degree preferred with focus in Computer Science, Applied Math, or related field.
• 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.
• 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.

Nice To Haves

• Experience in managing change and leading teams.
• Strong negotiation and influencing skills.
• Familiarity with sector knowledge and commercial acumen.
• Prior experience leading AI initiatives in the energy or oil & gas sector.
• Familiarity with agentic AI concepts, cognitive architectures, and autonomous agents.
• Working knowledge of ESG data, climate risk modeling, and regulatory trends in energy.
• AI certifications (Microsoft, AWS, NVIDIA, Databricks, or equivalent).
• Exposure to agile delivery models and design thinking approaches.

Responsibilities

• Lead the delivery of complex AI strategies that enhance business effectiveness and efficiency.
• Work closely with clients to envision how AI can transform their markets, products, and capabilities.
• 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.
• 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 ModelOps and MLOps practices, ensuring transparency, reproducibility, and monitoring of models in production.
• Lead AI solution architecture, including hybrid deployments on cloud.
• Serve as a thought leader in emerging AI technologies.
• Drive internal capability building and innovation in Responsible AI, agentic workflows, and energy sector-specific solutions.

Benefits

• Comprehensive compensation and benefits package.
• Base salary range of $125,500 to $230,200.
• Base salary range for New York City Metro Area, Washington State and California is $150,700 to $261,600.
• Medical and dental coverage.
• Pension and 401(k) plans.
• Wide range of paid time off options.
• Flexible vacation policy.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees