EY is seeking a Senior Manager to lead enterprise AI strategy and quantitative modeling efforts for clients in the Oil & Gas sector, driving measurable outcomes in upstream, midstream, and downstream operations.
Requirements
- 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.
- 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.
- Hands-on experience with Generative AI frameworks (e.g., OpenAI, Hugging Face, LangChain, RAG).
Responsibilities
- Lead engagement delivery, ensuring quality and risk management throughout the project lifecycle.
- 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.
- Implement and scale ModelOps and MLOps practices, ensuring transparency, reproducibility, and monitoring of models in production.
Other
- 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.
- Strong analytical and decision-making skills to develop solutions to complex problems.
- Ability to communicate effectively and influence stakeholders at all levels.
