EY
AI Strategy - Oil & Gas Sector - Manager - Consulting - Location OPEN
EY, Grand Rapids, Michigan, us, 49528
AI Strategy - Oil & Gas Sector - Manager - Consulting – Location: Anywhere in Country
As part of our growing AI & Data practice, we are seeking a highly experienced Senior Manager to lead enterprise AI strategy and quantitative modeling efforts for our clients in the Oil & Gas sector. This individual will bring deep industry expertise, along with a proven track record of designing and operationalizing responsible, scalable, and value‑aligned AI solutions. You’ll lead high‑impact client engagements focused on Generative AI, Agentic AI, MLOps, and AI governance frameworks—driving measurable outcomes in upstream, midstream, and downstream operations.
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.
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.
Ability to communicate effectively and influence stakeholders at all levels.
Required 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 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.
Proficiency in Data Architecture Design and Modelling.
Experience in Digital Transformation and IT Effectiveness Assessment.
Knowledge of Emerging Technologies and Technology Strategy, Vision, and Roadmap.
Ability to build and manage relationships effectively.
Strong exposure to oil & gas industry operations, value levers, and use case landscape.
Proven success in developing AI strategy and governance models, including frameworks for Responsible AI, risk, and compliance.
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.
Experience with CI/CD, containerization (e.g., Docker, Kubernetes), and MLflow or similar tools.
Strong client‑facing skills with the ability to articulate technical topics to business executives.
Preferred Qualifications
Experience in 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, including exploration, refining, or energy trading.
Familiarity with agentic AI concepts, cognitive architectures, and autonomous agents.
Working knowledge of ESG data, climate risk modeling, and regulatory trends in energy.
AI certifications (Microsoft, AWS, NVIDIA, Databricks, or equivalent).
Exposure to agile delivery models and design thinking approaches.
What We Offer
Competitive compensation and benefits package, including base salary ranging from $125,500 to $230,200 in the US and additional regional variations.
Medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Flexible work model with hybrid engagement expectations.
Opportunities for professional growth and development in a globally connected environment.
EY accepts applications for this position on an ongoing basis.
Equal Employment Opportunity Statement EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law.
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As part of our growing AI & Data practice, we are seeking a highly experienced Senior Manager to lead enterprise AI strategy and quantitative modeling efforts for our clients in the Oil & Gas sector. This individual will bring deep industry expertise, along with a proven track record of designing and operationalizing responsible, scalable, and value‑aligned AI solutions. You’ll lead high‑impact client engagements focused on Generative AI, Agentic AI, MLOps, and AI governance frameworks—driving measurable outcomes in upstream, midstream, and downstream operations.
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.
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.
Ability to communicate effectively and influence stakeholders at all levels.
Required 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 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.
Proficiency in Data Architecture Design and Modelling.
Experience in Digital Transformation and IT Effectiveness Assessment.
Knowledge of Emerging Technologies and Technology Strategy, Vision, and Roadmap.
Ability to build and manage relationships effectively.
Strong exposure to oil & gas industry operations, value levers, and use case landscape.
Proven success in developing AI strategy and governance models, including frameworks for Responsible AI, risk, and compliance.
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.
Experience with CI/CD, containerization (e.g., Docker, Kubernetes), and MLflow or similar tools.
Strong client‑facing skills with the ability to articulate technical topics to business executives.
Preferred Qualifications
Experience in 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, including exploration, refining, or energy trading.
Familiarity with agentic AI concepts, cognitive architectures, and autonomous agents.
Working knowledge of ESG data, climate risk modeling, and regulatory trends in energy.
AI certifications (Microsoft, AWS, NVIDIA, Databricks, or equivalent).
Exposure to agile delivery models and design thinking approaches.
What We Offer
Competitive compensation and benefits package, including base salary ranging from $125,500 to $230,200 in the US and additional regional variations.
Medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Flexible work model with hybrid engagement expectations.
Opportunities for professional growth and development in a globally connected environment.
EY accepts applications for this position on an ongoing basis.
Equal Employment Opportunity Statement EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law.
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