Artificial Intelligence

• Lead AI Commercial strategy and portfolio ownership for the Oncology Business Unit Europe & Canada region
• Serve as the single point of contact and engagement owner for AI Commercial capability programs
• Maintain AI roadmaps aligned with business needs and develop business cases with business partners
• Translate stakeholder needs into well-defined AI use cases with metrics, requirements, data needs and risk tiering
• Co-lead AI solution delivery, including pilot shaping, scaled deployment, adoption, change readiness, KPI tracking, ROI realization and remediation or decommissioning
• Own the full lifecycle of AI solutions from ideation through delivery, adoption and decommissioning
• Build bridges between regional and market business teams and technical experts in AIC, EAI, Commercial IT and Global Business Services
• Champion commercial AI programs enhancing customer engagement through actionable AI insights and agentic platforms
• Partner on AI capability-building programs and support AI literacy and upskilling
• Lead change management, stakeholder engagement, governance, data compliance and adoption of AI-enabled ways of working
• Ensure AI use cases comply with enterprise governance, quality, legal, compliance, pharmacovigilance, safety and local-code requirements
• Scan internal and external trends and track industry, market and innovation shifts to identify opportunities and risks
• Define KPIs and monitoring to evaluate progress and pivot when needed
• Develop delivery partnerships and coordinate ownership, priorities and hand-offs across enterprise AI and business teams
• Act as primary interface between the business area and CAI Capability and Enterprise AI teams
• Report to the VP AIC and maintain dotted-line connection to the Region

Senior Director, AI Commercial Business Partner

• Lead transformation and commercial innovation programs involving AI across the Oncology Business Unit Europe & Canada region
• Serve as the embedded business translator between commercial business functions and AI Commercial and Enterprise AI organizations
• Translate business needs into well-scoped AI use cases with clear metrics, requirements, data needs, and risk tiering
• Own AI solution lifecycles from ideation through delivery, adoption, value realization, remediation, or decommissioning
• Maintain AI roadmaps aligned with business, medical, access, and R&D priorities
• Develop business cases and value narratives to support prioritization
• Co-lead pilot shaping, scaled deployment, local adoption, change readiness, KPI tracking, and ROI realization
• Act as a change leader embedding AI into operations and supporting AI literacy and upskilling
• Ensure data governance, regulatory compliance, evidence frameworks, and human-in-the-loop oversight where required
• Partner with Enterprise Demand Excellence, AITT, Commercial AI, Global Business Services, and other enterprise teams
• Scan internal and external trends and track industry, market, and innovation shifts to identify opportunities and risks
• Define KPIs and monitoring, pivoting initiatives when needed
• Act as the primary interface between the business area and CAI Capability and Enterprise AI teams
• Sit on the AIC Leadership team reporting to VP AIC, with dotted-line connection to the Region

Senior Director, AI Commercial Business Partner – Europe, Canada

• Design and drive practical AI upskilling across client-facing and enablement teams
• Integrate AI capability into onboarding and ongoing development
• Identify opportunities to remove whole workflow steps or fundamentally reimagine work
• Partner with client teams and enablement functions to implement changes
• Identify, prioritise and deliver automation using existing AI tools
• Evaluate new AI tools based on their value
• Redesign roles, responsibilities, judgement and ways of working as AI assumes more work
• Design team and role changes as workflows move onto Weaver
• Implement safe, compliant and ethical AI policies and guardrails covering data privacy and client confidentiality
• Build and ship smaller AI tools and prototypes
• Partner with Product and Engineering on shared integrations, scaling and production support
• Manage the AI tooling estate, platforms and vendor relationships
• Work with enterprise IT on infrastructure and security
• Establish KPIs for adoption, automation impact and ROI
• Report progress jointly to the Chief People Officer and Chief AI Officer
• Report jointly to the Chief People Officer and Chief AI Officer while working with the Performance & Development Lead, Partners and Functional Leaders

AI Enablement Lead

• Complete a short series of simple tasks and questions
• Engage in a casual, guided chat with an AI moderator
• Share thoughts and experiences openly during the conversation
• Provide honest feedback on the quality and feel of the AI interaction

Consumer Feedback Specialist – AI-Moderated Conversations

• Build and lead market growth strategy across energy operators, oilfield services companies, and energy enterprises
• Advise clients on AI adoption, from identifying high-value use cases to scaling solutions in production
• Engage C-suite and VP stakeholders as a trusted advisor
• Navigate stakeholder environments across operations, subsurface, engineering, HSE, IT, and data teams
• Develop understanding of client priorities across upstream, midstream, and downstream operations
• Own new client acquisition, account expansion, and P/L management accounts within the energy sector
• Develop and execute strategic account plans from pilot to enterprise-scale programs
• Lead consultative, executive-level sales conversations and build business cases for AI investment
• Own the commercial lifecycle from discovery through solution framing, proposal development, and executive presentations
• Navigate sector-specific buying cycles, procurement processes, and capital planning timelines
• Identify and shape AI use cases involving predictive maintenance, computer vision, safety and compliance automation, intelligent document processing, and geospatial/LiDAR/digital twin data pipelines
• Translate operational challenges into scalable AI solutions using CloudFactory capabilities
• Partner with technical and delivery teams to ensure high-quality execution and client satisfaction
• Oversee delivery alignment on scope, timelines, and outcomes
• Stay current on AI trends across the energy value chain
• Contribute to industry events, client engagements, and thought leadership
• Bring sector insights into product, delivery, and go-to-market strategy
• Lead and inspire consultants, data scientists, and engineers
• Foster collaboration between client stakeholders and internal teams
• Promote best practices in AI consulting, delivery excellence, and client engagement

Client Principal – AI Consulting, Energy, Oil & Gas

• Partner with the Business Product Owner and users to define or confirm problems, workflows, users, expected value, success measures, constraints and risk tiers
• Shape and manage the roadmap, backlog, discovery, prioritisation, sequencing, dependencies, release planning and delivery cadence
• Coordinate the pod, suppliers, control functions and business stakeholders through launch and stabilisation
• Manage blockers, risks and enterprise dependencies
• Ensure sustainable ownership, maintainable assets and effective knowledge transfer
• Define requirements for workflow integration, human decision roles, evidence, provenance, evaluation, support and service operation
• Define operating boundaries for agentic products, including autonomy levels, approved tools, data usage, human oversight and escalation pathways
• Ensure the Business Product Owner maintains the adoption and change plan
• Assemble product-readiness evidence and coordinate go-live and post-launch stabilisation
• Track product outcomes, adoption, quality, cost and operational performance
• Drive continuous improvement using evaluation findings and user feedback
• Maintain traceability of decisions, assumptions, approvals and lessons learned
• Contribute reusable delivery practices across the AI Product Delivery Department

AI Product Delivery Lead

• Own the end-to-end pipeline for the Central Controls Office Gen AI roadmap, from gathering use cases through delivery into BAU
• Own the framework and pipeline for gathering, measuring and scoping submitted use case ideas
• Lead discovery and feasibility assessments to define business problems, evaluate Gen AI suitability and determine delivery routes across Copilot and Maisa
• Work with SMEs to define problem statements, target outcomes, requirements, success measures and acceptance criteria
• Define and agree baseline measures, expected benefits, costs and success criteria for each use case
• Track realised value following implementation
• Use discovery and pilot evidence to recommend scaling, refining, pausing or stopping use cases
• Coordinate iterative design, prompt or worker development, functional testing, user-acceptance testing and remediation
• Ensure outputs are accurate, reliable and suitable for business use
• Ensure human-in-the-loop reviews, test evidence, exception handling and exit criteria are agreed before implementation
• Coordinate governance requirements and maintain a clear evidence trail
• Manage delivery dependencies and capacity across business SMEs, AI specialists and external delivery resources
• Escalate constraints and agree recovery actions
• Develop and deliver adoption and capability plans to help CCO colleagues use approved Gen AI tools confidently, effectively and responsibly
• Use user feedback, usage insight and skills assessments to inform adoption and capability plans

Gen AI Delivery Manager

• Conduct research and analysis on AI services and broader services markets
• Develop market sizing and forecasting models for the enterprise AI services market
• Assess market dynamics affecting AI services demand across industries and geographies
• Deliver actionable advice to high-tech industry clients, including CEOs, general managers, and product and marketing leaders
• Produce published forecasts, written research, thought leadership, and must-have insights
• Perform competitive analysis and customer opportunity assessments
• Develop in-depth analyses to identify root causes of client barriers and needs
• Establish insights positions across a team of analysts
• Research, analyze, and predict market trends and shifts
• Provide actionable advice through virtual and face-to-face client interactions
• Create and deliver presentation materials for Gartner events, conferences, and client briefings
• Support BTI and Sales with market expertise and client engagement
• Conduct content peer reviews
• Represent Gartner insights, methodology, and strategy as an industry expert
• Collaborate in innovation, ideation, and research discussions
• Improve research processes and develop new processes for service delivery
• Mentor and coach junior team members
• Encourage regular client engagement with Gartner insights and interactions

Senior Director Analyst – Market Forecasting, AI Services

• Develop differentiated Gartner positions on the economic impact of AI and technology disruption across markets, business models and value chains
• Partner with the Tech Market Economics Modelling team to translate emerging signals into market-shaping research and thought leadership
• Synthesize economics, quantitative evidence, novel data sources and domain expertise into differentiated Gartner perspectives
• Develop research insights influencing executive decisions, industry narratives and market conversations
• Shape the evolution of Tech Market Economics by identifying important market opportunities and questions
• Bring independent insights to Gartner leaders to influence research agendas
• Create innovative, thought-provoking, high-leverage must-have insights content
• Develop thought leadership and actionable approaches to client needs
• Provide actionable advice through virtual or face-to-face client interactions
• Create and deliver presentations for Gartner conferences, industry events, media engagements and client briefings
• Support Gartner sales and business development through market insights and executive engagement
• Provide high-quality, timely content peer review
• Build credibility as an authority on Tech Market Economic trends and represent Gartner insights, methodology and strategy
• Participate in innovation, ideation and research discussions and collaborate with peers across Gartner
• Mentor and coach junior team members
• Maintain a client-centric approach focused on actionable insights and measurable client value

Director, Analyst – AI Technology Economics

• Find where AI genuinely improves outcomes for the assigned business cluster
• Build solutions using approved internal and external tools
• Embed AI solutions in the business rather than IT
• Ensure solutions are adopted and measured
• Scale successful solutions across the Group
• Improve K3's efficiency
• Create new or better value for clients
• Improve colleagues' working lives by removing repetitive, low-value work
• Align delivery with the Group AI & Data Strategy, business pace, cybersecurity, data and regulatory obligations
• Define problems, prototype solutions, roll them out and drive adoption
• Risk-tier new use cases before they interact with live client or candidate data
• Track time released, client outcomes, new revenue, reduced risk and colleague experience

Artificial Intelligence jobs in United Kingdom