EY · 2 days ago
AI Strategy - Oil & Gas Sector - Senior Manager - Consulting - Location OPEN
Oklahoma City, OK
Full-time
Hybrid
Senior Level, Lead/Staff, Director/Executive
$144K/yr - $329K/yr
10+ years expEY is a globally connected powerhouse of diverse teams committed to building a better working world. They are seeking a highly experienced Senior Manager to lead enterprise AI strategy and quantitative modeling efforts for clients in the Oil & Gas sector, focusing on delivering impactful AI investments and operationalizing scalable AI solutions.
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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
Qualification
Required
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 (e.g., Docker, Kubernetes), and MLFlow or similar tools
Strong client-facing skills with the ability to articulate technical topics to business executives
Preferred
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
Benefits
Medical and dental coverage
Pension and 401(k) plans
Wide range of paid time off options
Flexible vacation policy
Time off for designated EY Paid Holidays
Winter/Summer breaks
Personal/Family Care
Other leaves of absence when needed to support your physical, financial, and emotional well-being
Company
EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.
10001+ employees
H1B Sponsorship
EY has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10242)
2024 (9877)
2023 (10966)
2022 (9394)
2021 (5652)
2020 (8849)
Funding
Current Stage
Late StageLeadership Team
Jonathan Williamson
Chief Operating Officer
Abhishek Sen
Partner
Recent News
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