AI Transformation Lead
AI in this role
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
How we score this
AI Transformation Lead at PwC scores 19 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
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Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide that one model's output is better than another's for a given task?
- How do you think about the risk of an AI system in this kind of role failing silently?
- What's a project where you used OpenAI hands-on?
- Walk me through how you've used LangChain in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Rag, AI Evaluation, AI Safety, OpenAI, and LangChain. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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