AI Strategy - Oil & Gas - Manager - Consulting
Listed on 2025-12-01
-
IT/Tech
AI Engineer, Data Scientist, Data Science Manager, Machine Learning/ ML Engineer
AI Strategy - Oil & Gas Sector - Manager - Consulting –
Location:
Anywhere in Country
As part of EY’s AI & Data practice, we are looking for a highly experienced Senior Manager to lead enterprise AI strategy and quantitative modeling efforts for our clients in the Oil & Gas sector. You will drive high impact engagements focused on Generative AI, Agentic AI, MLOps, and AI governance.
Key Responsibilities- Lead delivery of complex AI strategies that enhance business effectiveness and efficiency.
- 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.
- Define and implement enterprise-wide AI and quantitative modeling strategy tailored to oil & gas value chains.
- 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 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 Model Ops 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.
- Bachelor’s degree required;
Master’s degree preferred 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.
- Strong exposure to oil & gas industry operations, value levers, and use case landscape.
- Hands‑on experience with Generative AI frameworks (e.g., OpenAI, Hugging Face, Lang Chain, 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.
- Competitive compensation and benefits package, including medical and dental coverage, pension and 401(k) plans, and generous paid time off.
- Hybrid work model with flexible in‑office and remote options.
- Career development opportunities in a global, multidisciplinary environment.
EY is committed to providing 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. EY is inclusive and respectful in all interactions and expects all candidates to demonstrate these qualities.
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