AI Strategy - Oil & Gas - Senior Manager - Consulting

Position: AI Strategy - Oil & Gas Sector - Senior Manager - Consulting - Location OPEN
Join EY as an AI Strategy – Oil & Gas Sector – Senior Manager – Consulting – Location OPEN.

Location:

Anywhere in Country

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The Opportunity

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.

Key Responsibilities

• Lead engagement delivery, ensuring quality and risk management throughout the project lifecycle.

• Manage client relationships, focusing on revenue generation and the identification of new opportunities.

• Develop and 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.

Skills And Attributes for Success

• 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

• 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.

• Typically, no less than 5‑7 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…