Technical Product Consultant – GenAI (Senior Consultant) (PL794)
Our client in the consulting space is seeking a Technical Product Consultant (GenAI) to lead the functional delivery and operational execution of Generative AI solutions. This role sits at the intersection of business, technology, and delivery, overseeing the end-to-end lifecycle of GenAI products while ensuring alignment with enterprise standards, technical capabilities, and user needs.
Roles and Responsibilities
Lead the functional delivery of Generative AI products, overseeing ideation, requirements gathering, design, development, and deployment.
Own and prioritize the product and feature backlog, working closely with engineering, architecture, and security teams to ensure feasibility, compliance, and alignment with enterprise standards.
Facilitate Agile ceremonies including stand-ups, sprint planning, reviews, and retrospectives to drive predictable and timely delivery.
Translate business requirements and user stories into clear functional and technical specifications to support backlog refinement and sprint execution.
Define, track, and monitor functional KPIs and success metrics to measure product performance and business impact.
Conduct market research and competitive analysis to inform functional design decisions and guide the evolution of GenAI capabilities.
Act as a liaison between business stakeholders, engineering teams, and architects, ensuring clarity on requirements, design decisions, and delivery timelines.
Engage with customers and end users to gather feedback on GenAI features and performance, translating insights into continuous functional improvements.
Support continuous improvement of GenAI products through iterative development and feedback loops.
Proven experience in technical or functional product management, preferably within AI or Generative AI initiatives.
Strong understanding of GenAI technologies and their practical business applications.
Hands-on experience with Azure AI Foundry, Microsoft Copilot Studio, Python, Angular, Azure Data Factory (ADF), and exposure to Large Language Models (LLMs) is preferred.
Strong project management, analytical, and problem-solving skills.
Excellent communication skills, with the ability to translate complex technical concepts for non-technical stakeholders.
Experience working within Agile delivery models and collaborative, cross-functional environments.
Customer-focused mindset with the ability to identify, document, and articulate functional requirements.
Proactive learner who stays current with GenAI trends and emerging technologies.
Duration: 12-month contract with the possibility of extension
Work Model: Hybrid (1 day onsite)