AI & Data - AI Strategy - Manager - Oil & Gas Sector

As part of our growing AI & Data practice, we are seeking a highly experienced Senior Manager to lead enterprise AI strategy and quantitative modeling efforts for our clients in the Oil & Gas sector. This individual will bring deep industry expertise, along with a proven track record of designing and operationalizing responsible, scalable, and value-aligned AI solutions. You’ll lead high-impact client engagements focused on Generative AI, Agentic AI, MLOps, and AI governance frameworks — driving measurable outcomes in upstream, midstream, and downstream operations.

As a Manager in AI Strategy, you will leverage proprietary, industry-aligned business models and innovative operating model designs to deliver impactful AI investments. You will be responsible for capability assessments, operating model design, product management, governance, and process design, ensuring that AI initiatives align with business strategies and stakeholder needs.

Your key responsibilities

In this role, you will lead the delivery of complex AI strategies that enhance business effectiveness and efficiency. You will work closely with clients to envision how AI can transform their markets, products, and capabilities. This position offers the opportunity to engage with business and technology leaders, driving strategic programs that significantly impact their operations.

• 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.
• 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 .

Skills and attributes for success

To excel in this role, you will need a blend of technical and interpersonal skills. Your ability to navigate complex challenges and deliver innovative solutions will be crucial.

• 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.
• 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.

• Typically, no less than 5 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.

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 approaches.

Your key responsibilities

• Investigate, coordinate, bring to resolution, and report on security incidents as they are brought up or identified
• Forensically analyze end user systems and servers found to have possible indicators of compromise
• Analysis of artifacts collected during a security incident/forensic analysis
• Identify security incidents through ‘Hunting’ operations within a SIEM, EDR and other relevant tools
• Interface and connect with server owners, system custodians, and IT contacts to pursue security incident response activities, including obtaining access to systems, digital artifact collection, and containment and/or remediation actions
• Provide consultation and assessment on perceived security threats
• Maintain, manage, improve and update security incident process and protocol documentation
• Regularly provide reporting and metrics on case work
• Resolution of security incidents by identifying root cause and solutions
• Analyze findings in investigative matters, and develop fact based reports
• Be on-call to deliver global incident response

Skills and attributes for success

• Resolution of security incidents by identifying root cause and solutions
• Analyze findings in investigative matters, and develop fact-based reports
• Proven integrity and judgment within a professional environment
• Ability to appropriately balance work/personal priorities
• Bachelors or Masters Degree in Computer Science, Information Systems, Engineering or a related field
• 7+ years experience in incident response, computer forensics analysis and/or malware reverse engineering
• Understanding of security threats, vulnerabilities, and incident response
• Understanding of electronic investigation, forensic tools, and methodologies, including: log correlation and analysis, forensically handling electronic data, knowledge of the computer security investigative processes, malware identification and analysis
• Be familiar with legalities surrounding electronic discovery and analysis
• Experience with EDR and SIEM technologies (i.e. Splunk)
• Deep understanding of both Windows and Unix/Linux based operating systems

Ideally, you’ll also have

• Hold or be willing to pursue related professional certifications such as GCFE, GCFA or GREM
• Background in security incident response in Cloud-based environments, such as Azure
• Programming skills in PowerShell, Python and/or C/C++
• Understanding of the best security practices for network architecture and server configuration

What we look for

• Demonstrated integrity in a professional environment
• Ability to work independently
• Have a global mind-set for working with different cultures and backgrounds
• Knowledgeable in business industry standard security incident response process, procedures, and life cycle
• Positive attitude and Excellent teaming skills
• Excellent social, communication, and writing skills
• Good presentation skills
• Excellent investigative, analytical, and problem-solving skills