AI Strategy - Oil & Gas - Senior Manager - Consulting

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

Location:

Anywhere in Country

At EY, we’re shaping your future with confidence, building a better working world. Join us as a Senior Manager in our AI & Data practice to lead enterprise AI strategy and quantitative modeling for the Oil & Gas sector. You’ll design and operationalize responsible, scalable, value‑aligned AI solutions, driving measurable outcomes across upstream, midstream, and downstream operations.

Your

Key Responsibilities

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

• Manage client relationships, focusing on revenue generation and new opportunity identification.

• Develop and manage resource plans and budgets for engagements, aligning with performance objectives.

• Define and implement enterprise‑wide AI and quantitative modeling strategy for the oil & gas value chain (e.g., asset optimization, drilling, trading, predictive maintenance).

• Establish AI governance frameworks that ensure responsible AI adoption, ethical data use, model risk management, and regulatory alignment.

• Design and operationalize Agentic AI solutions to automate reasoning, planning, and decision‑making tasks in complex environments.

• Drive prioritization 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 business transformation.

• Implement and scale Model Ops and MLOps practices, ensuring transparency, reproducibility, and production monitoring.

• Lead AI solution architecture, including hybrid cloud deployments (Microsoft Azure, Amazon AWS).

• Serve as a thought leader in emerging AI technologies, including Generative AI, foundation models, RAG, and Agentic AI.

• Build internal capability and innovation in Responsible AI, agentic workflows, and energy sector‑specific solutions.

Skills and Attributes for Success

• Strong analytical and decision‑making skills for complex problem solving.

• Proven experience managing client relationships and leading teams.

• Excellent communication and stakeholder influence across all levels.

To qualify for the role, you must have

• Bachelor’s degree required;
Master’s preferred in Computer Science, Applied Math, or related field; prior consulting experience required.

• 10+ years 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.

• 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 tech strategy, vision, and roadmap.

• Ability to build and manage relationships effectively.

• Strong exposure to oil & gas operations, value levers, and use‑case landscape.

• Proven success in AI strategy and governance, including Responsible AI frameworks.

• Hands‑on experience with Generative AI frameworks (OpenAI, Hugging Face, Lang Chain, RAG).

• Experience architecting and scaling MLOps platforms in cloud environments.

• Proficiency in Python, Pandas, PyTorch, Scikit‑learn, Spark, SQL.

• Experience with CI/CD, Docker, Kubernetes, MLFlow or similar tools.

• Strong client‑facing skills, articulating technical topics to executives.

Ideally, you’ll also have

• Experience in managing change and leading teams.

• Strong negotiation and influencing skills.

• Sector knowledge and commercial acumen.

• Prior AI leadership in energy or oil & gas (exploration, refining, trading).

• Familiarity with agentic AI concepts and autonomous agents.

• Working knowledge of ESG data, climate risk modeling, and regulatory trends.

• AI certifications (Microsoft, AWS, NVIDIA, Databricks, etc.).

• Exposure to agile delivery models and design thinking.

What We Offer You

• A comprehensive compensation and benefits package, base salary range in the U.S. $144,000–$329,100 (NY & CA ranges higher).…