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București, România
Hybrid
Job Description & Summary
Convert business priorities into high-value AI products and agentic workflows, owning discovery, process redesign, product direction, agile backlog and benefits realization.
· 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.
· 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.
· 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.
· Value of prioritized use cases
· Backlog quality and stakeholder alignment
· Speed from discovery to usable release
· Benefits measured after deployment
· Client adoption and satisfaction
· 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 capability’s continuous learning agenda.
· Uphold PwC quality, independence, confidentiality and risk-management requirements.
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