EY
AI Strategy - Oil & Gas Sector - Manager - Consulting - Location OPEN
EY, Greenville, South Carolina, us, 29610
AI Strategy – Oil & Gas Sector – Manager – Consulting – Location OPEN
Join EY in leading enterprise AI strategy and quantitative modeling for the Oil & Gas sector. As part of our growing AI & Data practice, you will design and operationalize responsible, scalable AI solutions that drive measurable outcomes across upstream, midstream, and downstream operations.
Key Responsibilities
Lead delivery of complex AI strategies that enhance business effectiveness and efficiency.
Manage engagement delivery, ensuring quality and risk management throughout the project lifecycle.
Build client relationships focused on revenue generation and identification of new opportunities.
Plan resource budgets and align them with performance objectives.
Define and implement enterprise‑wide AI and quantitative modeling strategy tailored to the oil & gas value chain.
Establish AI governance frameworks ensuring responsible AI adoption, ethical data use, model risk management, and regulatory alignment.
Design and operationalize Agentic AI solutions automating reasoning, planning, and decision‑making tasks.
Drive prioritization of AI use cases based on business value, feasibility, and risk to ensure 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 ModelOps and MLOps practices, ensuring transparency, reproducibility, and monitoring of models in production.
Lead AI solution architecture, including hybrid cloud deployments.
Serve as a thought leader in emerging AI technologies, including Generative AI, foundation models, 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.
Excellent communication and stakeholder influence at all levels.
Qualifications
Bachelor’s degree required; Master’s degree preferred with focus in Computer Science, Applied Math, or related field with prior consulting experience required.
5+ years of 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.
Hands‑on experience with Generative AI frameworks (e.g., OpenAI, Hugging Face, LangChain, 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.
Strong client‑facing skills with the ability to articulate technical topics to business executives.
Preferred Additional Experience
Experience leading AI initiatives in the energy or oil & gas sector, including exploration, refining, or energy trading.
Familiarity with Agentic AI concepts, cognitive architectures, and autonomous agents.
Working knowledge of ESG data, climate risk modelling, and regulatory trends in energy.
AI certifications (Microsoft, AWS, NVIDIA, Databricks, or equivalent).
What We Look For We seek individuals who are passionate about driving innovation and transformation through AI. Top performers are those who can think critically, solve complex problems, and communicate effectively with diverse stakeholders.
What We Offer
Competitive compensation and benefits package, including base salary range of $125,500 to $230,200 and additional local ranges. Full benefits include medical and dental coverage, pension and 401(k) plans, and paid time off.
Flexible hybrid model: 40‑60% in‑person engagement depending on client needs.
Generous vacation policy allowing you to decide how much time off you need.
Equal Employment Opportunity Statement EY is committed to equal employment opportunity and encourages applicants of all backgrounds. The company is an equal opportunity employer and prohibits discrimination. Qualified individuals with disabilities will receive reasonable accommodations.
Ready to shape your future with confidence? Apply today. EY accepts applications for this position on an ongoing basis.
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Key Responsibilities
Lead delivery of complex AI strategies that enhance business effectiveness and efficiency.
Manage engagement delivery, ensuring quality and risk management throughout the project lifecycle.
Build client relationships focused on revenue generation and identification of new opportunities.
Plan resource budgets and align them with performance objectives.
Define and implement enterprise‑wide AI and quantitative modeling strategy tailored to the oil & gas value chain.
Establish AI governance frameworks ensuring responsible AI adoption, ethical data use, model risk management, and regulatory alignment.
Design and operationalize Agentic AI solutions automating reasoning, planning, and decision‑making tasks.
Drive prioritization of AI use cases based on business value, feasibility, and risk to ensure 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 ModelOps and MLOps practices, ensuring transparency, reproducibility, and monitoring of models in production.
Lead AI solution architecture, including hybrid cloud deployments.
Serve as a thought leader in emerging AI technologies, including Generative AI, foundation models, 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.
Excellent communication and stakeholder influence at all levels.
Qualifications
Bachelor’s degree required; Master’s degree preferred with focus in Computer Science, Applied Math, or related field with prior consulting experience required.
5+ years of 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.
Hands‑on experience with Generative AI frameworks (e.g., OpenAI, Hugging Face, LangChain, 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.
Strong client‑facing skills with the ability to articulate technical topics to business executives.
Preferred Additional Experience
Experience leading AI initiatives in the energy or oil & gas sector, including exploration, refining, or energy trading.
Familiarity with Agentic AI concepts, cognitive architectures, and autonomous agents.
Working knowledge of ESG data, climate risk modelling, and regulatory trends in energy.
AI certifications (Microsoft, AWS, NVIDIA, Databricks, or equivalent).
What We Look For We seek individuals who are passionate about driving innovation and transformation through AI. Top performers are those who can think critically, solve complex problems, and communicate effectively with diverse stakeholders.
What We Offer
Competitive compensation and benefits package, including base salary range of $125,500 to $230,200 and additional local ranges. Full benefits include medical and dental coverage, pension and 401(k) plans, and paid time off.
Flexible hybrid model: 40‑60% in‑person engagement depending on client needs.
Generous vacation policy allowing you to decide how much time off you need.
Equal Employment Opportunity Statement EY is committed to equal employment opportunity and encourages applicants of all backgrounds. The company is an equal opportunity employer and prohibits discrimination. Qualified individuals with disabilities will receive reasonable accommodations.
Ready to shape your future with confidence? Apply today. EY accepts applications for this position on an ongoing basis.
#J-18808-Ljbffr