AI Strategy - Oil & Gas - Senior Manager - Consulting

Position: AI Strategy - Oil & Gas Sector - Senior Manager - Consulting - Location OPEN
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The opportunity

Your

Key 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 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.
Skills And Attributes For Success

• Strong analytical and decision-making skills to develop solutions to complex problems.

• Proven experience in managing client relationships and leading teams.

• Ability to communicate effectively and influence stakeholders at all levels.
To qualify for the role, you must have

• 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 thanyears 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, 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.

Ideally, you’ll also have

• 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…