AI Transformation Lead

Job Description & Summary The opportunity Lead the AI Transformation & Agentic Systems Practice, originate high-value client opportunities and remain accountable for commercial performance, executive relationships and the value delivered by the portfolio. What you will be doing · Set the practice strategy, market positioning, priority sectors and annual go-to-market agenda. · Build trusted relationships with boards, CEOs, COOs, CIOs and business-unit executives. · Lead major pursuits, executive workshops, strategic alliances and qualification decisions. · Sponsor complex client programs and resolve commercial, stakeholder and delivery escalations. · Ensure each engagement has explicit business outcomes, accountable owners and value measures. · Build a culture that combines consulting quality, engineering excellence, agile delivery and responsible innovation. What we need from you · Significant leadership experience in technology consulting, business transformation or AI-enabled change. · Demonstrated success originating and leading complex technology transformation engagements. · Strong executive communication, commercial judgment and multidisciplinary leadership. · Ability to connect AI, data, cloud and operating-model choices with business economics and risk. Relevant AI technologies and tooling · Executive-level fluency across generative AI, machine learning, agentic systems, retrieval-augmented generation, model evaluation and hybrid AI deployment, sufficient to challenge solution choices and explain their business implications. · Awareness of the principal agent-development ecosystems, including LangChain and LangGraph, Microsoft Agent Framework or Semantic Kernel, and OpenAI Agents SDK, together with the ability to remain vendor-neutral when shaping client propositions. · Understanding of AI platform economics, including model consumption, data and infrastructure costs, engineering effort, operational support and the implications of cloud, sovereign and on-premises deployment choices. Measures of success · Qualified pipeline and profitable revenue · Strategic client relationships and repeat work · Portfolio value realized by clients · Practice utilization, capability growth and retention · Quality and risk outcomes across engagements Key interfaces · Other members of the AI Transformation & Agentic Systems Practice · PwC sector, functional, cloud, cyber, risk, Responsible AI and change specialists · Client business owners, product owners, technology teams and operational users · Technology alliance and implementation partners where relevant Contribution to the practice · Support proposals, client workshops and market development appropriate to seniority. · Contribute reusable methods, patterns, code, assets and lessons learned. · Coach colleagues and participate in the capability’s continuous learning agenda. · Uphold PwC quality, independence, confidentiality and risk-management requirements. #LI-BS1 #LI-Hybrid