EY
AI Strategy - Oil & Gas Sector - Manager - Consulting - Location OPEN
EY, Portland, Oregon, United States, 97204
Join EY in shaping the future of the Oil & Gas sector as an
AI Strategy Manager
– a consulting role open to highly experienced leaders across the globe.
EY empowers talented professionals to thrive in a globally connected, diverse environment that values curiosity, resilience, and collaboration. This opportunity focuses on delivering AI‑driven transformation for customers in upstream, midstream, and downstream operations.
Key Responsibilities
Lead the design and execution of enterprise AI strategies that improve business effectiveness and operational efficiency.
Manage full‑cycle engagement delivery, ensuring quality, risk management, and client satisfaction throughout the project lifecycle.
Drive revenue generation and identify new opportunities by building strong client relationships and delivering value‑aligned proposals.
Define and implement enterprise‑wide AI and quantitative modeling strategies tailored to oil & gas value chains (asset optimization, drilling, trading, predictive maintenance).
Establish AI governance frameworks that ensure responsible AI adoption, ethical data use, model risk management, and regulatory compliance.
Design and operationalize agentic AI solutions to automate reasoning, planning, and decision‑making tasks in complex environments.
Prioritize AI use cases based on business value, feasibility, and risk, ensuring a strong ROI for 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 digital 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 (Microsoft Azure, Amazon AWS).
Act 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 managing client relationships and leading high‑performance teams.
Ability to communicate effectively and influence stakeholders at all levels.
Qualifications
Bachelor’s degree required; Master’s degree preferred 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 modeling.
Experience in digital transformation and IT effectiveness assessment.
Knowledge of emerging technologies and technology strategy, vision, and roadmap.
Strong client‑facing skills with the ability to articulate technical topics to business executives.
Hands‑on experience with Generative AI frameworks (OpenAI, Hugging Face, LangChain, RAG).
Experience architecting and scaling MLOps platforms and data science workflows in cloud‑native environments.
Proficiency in Python and tools such as Pandas, PyTorch, Scikit‑learn, Spark, SQL.
Experience with CI/CD, containerization (Docker, Kubernetes), and MLFlow or similar tools.
Ideal Additional Experience
Experience 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 and autonomous agents.
Experience with 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.
Benefits and Compensation
Comprehensive compensation and benefits package with competitive base salary ($125,500–$230,200 US; $150,700–$261,600 US for major metro areas).
Medical and dental coverage, pension and 401(k) plans, and paid time off options.
Hybrid work model – 40–60% in‑office, with flexible vacation policy.
Career development through EY’s future‑focused learning and mentoring programs.
Apply today to join a high‑performance consulting team that champions responsible AI, customer‑centric solutions, and cutting‑edge technology.
EY is an equal opportunity employer.
ALL EMPLOYEES AND CANDIDATES MUST DEMONSTRATE ETHICAL STANDARDS, INTEGRITY, AND PROBITY.
Includes legal compliance statements and at least one
Equal Employment Opportunity
statement, as required by law.
#J-18808-Ljbffr
AI Strategy Manager
– a consulting role open to highly experienced leaders across the globe.
EY empowers talented professionals to thrive in a globally connected, diverse environment that values curiosity, resilience, and collaboration. This opportunity focuses on delivering AI‑driven transformation for customers in upstream, midstream, and downstream operations.
Key Responsibilities
Lead the design and execution of enterprise AI strategies that improve business effectiveness and operational efficiency.
Manage full‑cycle engagement delivery, ensuring quality, risk management, and client satisfaction throughout the project lifecycle.
Drive revenue generation and identify new opportunities by building strong client relationships and delivering value‑aligned proposals.
Define and implement enterprise‑wide AI and quantitative modeling strategies tailored to oil & gas value chains (asset optimization, drilling, trading, predictive maintenance).
Establish AI governance frameworks that ensure responsible AI adoption, ethical data use, model risk management, and regulatory compliance.
Design and operationalize agentic AI solutions to automate reasoning, planning, and decision‑making tasks in complex environments.
Prioritize AI use cases based on business value, feasibility, and risk, ensuring a strong ROI for 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 digital 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 (Microsoft Azure, Amazon AWS).
Act 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 managing client relationships and leading high‑performance teams.
Ability to communicate effectively and influence stakeholders at all levels.
Qualifications
Bachelor’s degree required; Master’s degree preferred 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 modeling.
Experience in digital transformation and IT effectiveness assessment.
Knowledge of emerging technologies and technology strategy, vision, and roadmap.
Strong client‑facing skills with the ability to articulate technical topics to business executives.
Hands‑on experience with Generative AI frameworks (OpenAI, Hugging Face, LangChain, RAG).
Experience architecting and scaling MLOps platforms and data science workflows in cloud‑native environments.
Proficiency in Python and tools such as Pandas, PyTorch, Scikit‑learn, Spark, SQL.
Experience with CI/CD, containerization (Docker, Kubernetes), and MLFlow or similar tools.
Ideal Additional Experience
Experience 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 and autonomous agents.
Experience with 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.
Benefits and Compensation
Comprehensive compensation and benefits package with competitive base salary ($125,500–$230,200 US; $150,700–$261,600 US for major metro areas).
Medical and dental coverage, pension and 401(k) plans, and paid time off options.
Hybrid work model – 40–60% in‑office, with flexible vacation policy.
Career development through EY’s future‑focused learning and mentoring programs.
Apply today to join a high‑performance consulting team that champions responsible AI, customer‑centric solutions, and cutting‑edge technology.
EY is an equal opportunity employer.
ALL EMPLOYEES AND CANDIDATES MUST DEMONSTRATE ETHICAL STANDARDS, INTEGRITY, AND PROBITY.
Includes legal compliance statements and at least one
Equal Employment Opportunity
statement, as required by law.
#J-18808-Ljbffr