AI Transformation Manager
PwC is hiring an AI Transformation Manager in Bucharest, Romania. Level rates it ; you can apply on PwC.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting mentions OpenAI, Copilot and LangChain among its tools and skills.
- Level classes it as a senior role.
- PwC has 3,700+ other open roles on Level.
AI in this role
Lead AI transformation initiatives, defining agentic workflows and managing product backlogs to deliver high-value AI solutions.
Job Description & Summary
The opportunity
Convert business priorities into high-value AI products and agentic workflows, owning discovery, process redesign, product direction, agile backlog and benefits realization.
What you will be doing
· Lead value-discovery and process-design workshops with business and technology stakeholders.
· Map current workflows, decisions, hand-offs, pain points, controls and performance baselines.
· Prioritize agentic use cases based on value, feasibility, risk and time to impact.
· Act as product owner or product-management lead for client delivery, maintaining outcomes, roadmap and backlog.
· Define business cases, KPIs, benefit owners and measurement approaches.
· Coordinate user adoption, operating-model changes and transition to business ownership.
What we need from you
· 7+ years in management consulting, digital transformation, product management or process improvement.
· Strong experience in business cases, process redesign, agile delivery and executive facilitation.
· Ability to translate business needs into clear product outcomes and acceptance criteria.
· Working understanding of AI, agents, data dependencies, human oversight and automation.
Relevant AI technologies and tooling
· Working knowledge of agentic solution concepts, including tool calling, workflow orchestration, memory, retrieval-augmented generation, human-in-the-loop controls, evaluation and observability.
· Ability to convert a business process into agent roles, tools, decision points, structured inputs and outputs, exception paths, acceptance criteria and measurable value hypotheses.
· Familiarity with platforms and frameworks used by delivery teams, such as LangChain and LangGraph, Microsoft Agent Framework or Semantic Kernel, OpenAI Agents SDK, Microsoft Copilot Studio and workflow automation platforms.
· Experience using Agile product-management tooling such as Azure DevOps or Jira to manage epics, user stories, acceptance criteria, dependencies, releases and benefits measures.
Measures of success
· Value of prioritized use cases
· Backlog quality and stakeholder alignment
· Speed from discovery to usable release
· Benefits measured after deployment
· Client adoption and satisfaction
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 rate this
AI Transformation Manager at PwC rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
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 when an AI agent can act on its own versus asking for approval first?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where agile was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, AI Safety, Product Management, and Agile. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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