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AI Strategy - Oil & Gas - Senior Manager - Consulting

Job in Hoboken, Hudson County, New Jersey, 07030, USA
Listing for: EY
Full Time position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 144000 - 329100 USD Yearly USD 144000.00 329100.00 YEAR
Job Description & How to Apply Below
Position: AI Strategy - Oil & Gas Sector - Senior Manager - Consulting - Location OPEN

Overview

Location:

Anywhere in Country

At EY, we’re shaping your future with confidence, building a better working world. Join us as a Senior Manager in our AI & Data practice to lead enterprise AI strategy and quantitative modeling for the Oil & Gas sector. You’ll design and operationalize responsible, scalable, value‑aligned AI solutions, driving measurable outcomes across upstream, midstream, and downstream operations.

Your

Key Responsibilities
  • Lead engagement delivery, ensuring quality and risk management throughout the project lifecycle.
  • Manage client relationships, focusing on revenue generation and new opportunity identification.
  • Develop and manage resource plans and budgets for engagements, aligning with performance objectives.
  • Define and implement enterprise‑wide AI and quantitative modeling strategy for the oil & gas value chain (e.g., asset optimization, drilling, trading, predictive maintenance).
  • Establish AI governance frameworks that ensure responsible AI adoption, ethical data use, model risk management, and regulatory alignment.
  • 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.
  • 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 production monitoring.
  • Lead AI solution architecture, including hybrid cloud deployments (Microsoft Azure, Amazon AWS).
  • Serve as a thought leader in emerging AI technologies, including Generative AI, foundation models, RAG, and Agentic AI.
  • Build internal capability and innovation in Responsible AI, agentic workflows, and energy sector‑specific solutions.
Skills and Attributes for Success
  • Strong analytical and decision‑making skills for complex problem solving.
  • Proven experience managing client relationships and leading teams.
  • Excellent communication and stakeholder influence across all levels.
To qualify for the role, you must have
  • Bachelor’s degree required;
    Master’s preferred in Computer Science, Applied Math, or related field; prior consulting experience required.
  • 10+ years 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.
  • 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 tech strategy, vision, and roadmap.
  • Ability to build and manage relationships effectively.
  • Strong exposure to oil & gas operations, value levers, and use‑case landscape.
  • Proven success in AI strategy and governance, including Responsible AI frameworks.
  • Hands‑on experience with Generative AI frameworks (OpenAI, Hugging Face, Lang Chain, RAG).
  • Experience architecting and scaling MLOps platforms in cloud environments.
  • Proficiency in Python, Pandas, PyTorch, Scikit‑learn, Spark, SQL.
  • Experience with CI/CD, Docker, Kubernetes, MLFlow or similar tools.
  • Strong client‑facing skills, articulating technical topics to executives.
Ideally, you’ll also have
  • Experience in managing change and leading teams.
  • Strong negotiation and influencing skills.
  • Sector knowledge and commercial acumen.
  • Prior AI leadership in energy or oil & gas (exploration, refining, trading).
  • Familiarity with agentic AI concepts and autonomous agents.
  • Working knowledge of ESG data, climate risk modeling, and regulatory trends.
  • AI certifications (Microsoft, AWS, NVIDIA, Databricks, etc.).
  • Exposure to agile delivery models and design thinking.
What We Offer You
  • A comprehensive compensation and benefits package, base salary range in the U.S. $144,000–$329,100 (NY & CA ranges higher). Includes medical, dental, pension, 401(k), paid time off, flexible vacation, and EY…
Position Requirements
10+ Years work experience
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