AI Strategy - Oil & Gas - Manager - Consulting

AI Strategy - Oil & Gas Sector – Manager (Consulting)

Join EY as an AI Strategy Manager for the Oil & Gas sector in a globally connected, diverse team.

Location:

Anywhere in Country. The role is open and accepting applications on an ongoing basis.

As a Senior Manager in EY’s AI & Data practice, you will lead enterprise AI strategy, quantitative modeling, and responsible AI solutions for Oil & Gas clients across upstream, midstream, and downstream operations. You will design and ope rationalise AI initiatives that deliver measurable outcomes aligned with business strategies.

• Lead delivery of complex AI strategies that enhance business effectiveness and efficiency.
• Work closely with clients to envision how AI can transform markets, products, and capabilities.
• Manage engagement delivery, ensuring quality and risk management throughout the project lifecycle.
• Manage client relationships, focusing on revenue generation and identifying 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 (asset optimisation, drilling, trading, predictive maintenance).
• Establish AI governance frameworks that ensure responsible AI adoption, ethical data use, model risk management, and regulatory alignment.
• Design and ope rationalise Agentic AI solutions to automate reasoning, planning, and decision‑making tasks in complex environments.
• Drive prioritisation of AI use cases based on business value, feasibility, and risk, ensuring ROI.
• 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 transformation.
• Implement and scale Model Ops and MLOps practices, ensuring transparency, reproducibility, and production monitoring.
• Lead AI solution architecture, including hybrid cloud deployments on Microsoft Azure, Amazon AWS.
• Serve as a thought leader on emerging AI technologies (Generative AI, foundation models, RAG, Agentic AI).
• Drive internal capability building and innovation in Responsible AI, agentic workflows, and energy‑sector‑specific solutions.

• Strong analytical and decision‑making skills.
• Proven experience managing client relationships and leading teams.
• Effective communication and influence across all stakeholder levels.

• Bachelor’s degree required;
  Master’s preferred in Computer Science, Applied Math, or related field (consulting experience required).
• 5+ years of experience in technology consulting, digital transformation, or AI‑driven business solutions.
• 3+ years leading AI/ML projects, including team management and executive 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, strategy, vision, and roadmap.
• Ability to build and manage relationships effectively.
• Strong exposure to oil & gas industry operations and use‑case landscape.
• Proven success developing AI strategy and governance models, including Responsible AI frameworks.
• Hands‑on experience with Generative AI frameworks (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 such as Pandas, PyTorch, Scikit‑learn, Spark, SQL.
• Experience with CI/CD, containerisation (Docker, Kubernetes), MLFlow or similar.
• Strong client‑facing skills with ability to articulate technical topics to executive level.

• Experience 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 (exploration, refining, trading).
• Familiarity with agentic AI concepts, cognitive architectures, autonomous agents.
• Working knowledge of ESG data, climate‑risk modelling…