EY
AI Strategy - Oil & Gas Sector - Senior Manager - Consulting - Location OPEN
EY, Hoboken, New Jersey, us, 07030
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 ModelOps 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, LangChain, 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). Includes medical, dental, pension, 401(k), paid time off, flexible vacation, and EY holiday calendar.
Team‑led and leader‑enabled hybrid model – most roles work 40–60 % in person over a project or year.
Flexible vacation policy, additional days for EY paid holidays, winter/summer breaks, personal/family care, and other leaves to support well‑being.
Job Details
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Other
Industries: Professional Services
Equal Employment Opportunity EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities. If you have a disability and need assistance applying online or require an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate‑related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
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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 ModelOps 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, LangChain, 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). Includes medical, dental, pension, 401(k), paid time off, flexible vacation, and EY holiday calendar.
Team‑led and leader‑enabled hybrid model – most roles work 40–60 % in person over a project or year.
Flexible vacation policy, additional days for EY paid holidays, winter/summer breaks, personal/family care, and other leaves to support well‑being.
Job Details
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Other
Industries: Professional Services
Equal Employment Opportunity EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities. If you have a disability and need assistance applying online or require an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate‑related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
#J-18808-Ljbffr