EY
AI Strategy - Oil & Gas Sector - Senior Manager - Consulting - Location OPEN
EY, Portland, Oregon, United States, 97204
Overview
Join to apply for the
AI Strategy - Oil & Gas Sector - Senior Manager - Consulting - Location OPEN
role at
EY .
Location: Anywhere in Country. EY focuses on shaping your future with confidence and building a better working world through diverse, globally connected teams.
Responsibilities
Lead engagement delivery, ensuring quality and risk management throughout the project lifecycle.
Manage client relationships, focusing on revenue generation and the identification of new opportunities.
Develop and 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.
Qualifications
Bachelor’s degree required; Master’s degree preferred with focus in Computer Science, Applied Math, or related field with prior consulting experience required.
10+ years of experience 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.
Typically, 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 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 (Docker, Kubernetes), and MLFlow or similar tools.
Strong client-facing skills with the ability to articulate technical topics to business executives.
Ideal Additional 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 Look For We seek individuals who are not only skilled but also 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 You
We offer a comprehensive compensation and benefits package with a base salary range of $144,000 to $329,100 (US); NYC Metro/Washington State/California ranges, etc. Total Rewards include medical/dental, pension and 401(k), and paid time off.
Hybrid work model: most client-serving roles in-person 40-60% of the time.
Flexible vacation policy and paid holidays, family leave, and wellness accommodations.
EEO and Compliance 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. EY is committed to reasonable accommodation for qualified individuals with disabilities. For accommodation assistance, please contact EY’s Talent Shared Services.
EY | Building a better working world. EY teams help clients shape the future with confidence, across assurance, consulting, tax, strategy and transactions. EY is an equal opportunity employer and works to ensure a diverse and inclusive environment.
#J-18808-Ljbffr
AI Strategy - Oil & Gas Sector - Senior Manager - Consulting - Location OPEN
role at
EY .
Location: Anywhere in Country. EY focuses on shaping your future with confidence and building a better working world through diverse, globally connected teams.
Responsibilities
Lead engagement delivery, ensuring quality and risk management throughout the project lifecycle.
Manage client relationships, focusing on revenue generation and the identification of new opportunities.
Develop and 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.
Qualifications
Bachelor’s degree required; Master’s degree preferred with focus in Computer Science, Applied Math, or related field with prior consulting experience required.
10+ years of experience 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.
Typically, 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 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 (Docker, Kubernetes), and MLFlow or similar tools.
Strong client-facing skills with the ability to articulate technical topics to business executives.
Ideal Additional 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 Look For We seek individuals who are not only skilled but also 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 You
We offer a comprehensive compensation and benefits package with a base salary range of $144,000 to $329,100 (US); NYC Metro/Washington State/California ranges, etc. Total Rewards include medical/dental, pension and 401(k), and paid time off.
Hybrid work model: most client-serving roles in-person 40-60% of the time.
Flexible vacation policy and paid holidays, family leave, and wellness accommodations.
EEO and Compliance 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. EY is committed to reasonable accommodation for qualified individuals with disabilities. For accommodation assistance, please contact EY’s Talent Shared Services.
EY | Building a better working world. EY teams help clients shape the future with confidence, across assurance, consulting, tax, strategy and transactions. EY is an equal opportunity employer and works to ensure a diverse and inclusive environment.
#J-18808-Ljbffr