AI Transformation Lead

Job Description & Summary

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.

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.

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.

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.

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

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

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 capabilitys continuous learning agenda.

Uphold PwC quality independence confidentiality and risk-management requirements.

#LI-BS1 #LI-Hybrid