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VP of AI
Applied Computing. Set AI strategy, innovation priorities, and the research agenda’s alignment with commercial needs .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI strategy development and execution within the oil and gas or petrochemical sectors, with a strong focus on translating commercial needs into actionable AI initiatives. Proven ability to lead technical teams, manage budgets, and communicate effectively with stakeholders at all levels.
Highest-signal resume keywords
AI Strategy DevelopmentIndustrial Technology DeploymentTeam LeadershipCustomer EngagementOil And Gas Sector Expertise
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI ImplementationTechnical Problem AssessmentOperational Problem DefinitionBudget ManagementResearch Agenda Alignment
Soft Skills
Clear CommunicationSound JudgementDecision-Making Under AmbiguityAdaptabilityStakeholder Management
Industry Keywords
PetrochemicalsRefiningEnergy SectorIndustrial SolutionsUpstream Operations
About the role
Key responsibilities & impact- Set AI strategy, innovation priorities, and the research agenda’s alignment with commercial needs
- Decide which industrial problems are worth solving and what solutions must achieve
- Lead customer, executive, and board-level communication on AI
- Own AI commitments and accountability for outcomes
- Lead the AI function, including hiring, budget, and people management
- Manage and support the Director of AI Research, who leads researchers and technical execution
- Translate company strategy, industrial needs, and commercial opportunities into clear AI priorities
- Identify emerging customer problems and steer research early enough to address them
- Balance near-term delivery commitments with investment in future capabilities
- Define operational problems, intended users, required outcomes, and evidence of success for major AI initiatives
- Partner with the CEO on customer calls, strategic relationships, and commercial opportunities
- Explain AI capabilities, limitations, and delivery approaches to operational users, technical stakeholders, and executives
- Assess unfamiliar technical problems with the Director of AI Research before making commitments
- Translate customer requests into well-defined problems and credible plans
- Work with the VP of Product and VP of Technology to deliver usable, reliable systems
- Establish responsibilities, decision processes, and working arrangements across AI, Product, and Technology
- Maintain oversight from problem definition through deployment and user adoption
- Represent AI strategy, progress, investment needs, and risks to the CEO and board
- Anticipate opportunities across refining, petrochemicals, and adjacent industrial sectors
Requirements
What you’ll need- Strong understanding of oil and gas, petrochemicals, or the wider energy sector, including operational users and commercially valuable problems
- Experience taking industrial technology from problem identification through deployment and user adoption
- Track record of leading technical teams and owning strategy, hiring, and budget
- Sufficient understanding of AI and technology delivery to assess established applications, challenge assumptions, and recognise when deeper technical validation is required
- Experience leading customer discussions and translating operational needs into actionable technical priorities
- Ability to communicate clearly with industrial users, researchers, commercial leaders, and board-level stakeholders
- Sound judgement under ambiguity, with the confidence to make decisions and take responsibility for commitments
- Willingness to learn new industrial domains and travel to customers and sites
- Deep experience in refining or petrochemicals (nice to have)
- Experience delivering AI-enabled industrial solutions (nice to have)
- Exposure to upstream operations or other energy-intensive industries (nice to have)
- Experience leading within a growing industrial technology business (nice to have)
Benefits
Comp & perks- Responsibility for AI decisions, commitments, people, and budget
- Opportunity to work alongside the CEO in customer and strategic discussions
- Representation of AI at board level
- Leadership of the AI function, including hiring, budget, and people management
- Travel to customers and sites