EY
AI Strategy - Oil & Gas Sector - Manager - Consulting - Location OPEN
EY, Chantilly, Virginia, United States, 22021
Join EY for the
AI Strategy - Oil & Gas Sector - Manager - Consulting
role. This position is open globally and offers an exciting opportunity to lead AI strategy in the energy sector.
Key Responsibilities
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 (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 ModelOps 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.
Qualifications
Bachelor’s degree required; Master’s degree preferred 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, Data Architecture Design and Modelling, and MLOps platforms.
Proficiency in Python, PyTorch, Scikit‑learn, Spark, SQL, and containerization (Docker, Kubernetes).
Experience with Generative AI frameworks (OpenAI, Hugging Face, LangChain, RAG) and responsible AI governance.
Hands‑on experience with cloud‑native MLOps and data science workflows.
Strong client‑facing skills with the ability to articulate technical topics to business executives.
Benefits
Competitive base salary and comprehensive compensation package with performance‑based bonuses.
Global mobility and flexible hybrid work model.
Extensive health, dental, life, and disability coverage.
401(k) plan and additional retirement savings options.
Paid time off, holiday calendar, and employee wellness programs.
EY is an equal‑employment opportunity employer. EY is committed to building a diverse and inclusive workforce.
#J-18808-Ljbffr
AI Strategy - Oil & Gas Sector - Manager - Consulting
role. This position is open globally and offers an exciting opportunity to lead AI strategy in the energy sector.
Key Responsibilities
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 (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 ModelOps 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.
Qualifications
Bachelor’s degree required; Master’s degree preferred 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, Data Architecture Design and Modelling, and MLOps platforms.
Proficiency in Python, PyTorch, Scikit‑learn, Spark, SQL, and containerization (Docker, Kubernetes).
Experience with Generative AI frameworks (OpenAI, Hugging Face, LangChain, RAG) and responsible AI governance.
Hands‑on experience with cloud‑native MLOps and data science workflows.
Strong client‑facing skills with the ability to articulate technical topics to business executives.
Benefits
Competitive base salary and comprehensive compensation package with performance‑based bonuses.
Global mobility and flexible hybrid work model.
Extensive health, dental, life, and disability coverage.
401(k) plan and additional retirement savings options.
Paid time off, holiday calendar, and employee wellness programs.
EY is an equal‑employment opportunity employer. EY is committed to building a diverse and inclusive workforce.
#J-18808-Ljbffr