About EY-Parthenon

At EY-Parthenon, we help organizations tackle complex strategic challenges, supporting critical decisions with data-driven insights. Our projects range from growth and digital transformation to operational optimization, always focused on creating sustainable value.

The Opportunity

We are creating an AI & Data Hub at EY-Parthenon Portugal, designed to serve countries across the Europe West region and accelerate the adoption of advanced analytics and AI solutions.

As a Product Manager, you will play a pivotal role in shaping innovative digital products and technology solutions that drive transformation for our clients. You will also oversee the ideation, validation, and scaling of AI and Data & Analytics (DnA) use cases, managing Proof‑of‑Concepts (POCs) from design through implementation and industrialization and collaborate with multidisciplinary teams to define product vision, build roadmaps, and deliver solutions that create measurable business value. If you are passionate about product innovation, thrive in dynamic environments, and want to work on cutting-edge initiatives, this role offers the perfect platform to accelerate your career.

Your key responsibilities

• Prioritize AI initiatives based on impact, feasibility, and strategic goals.
• Translate business challenges into clear AI/DnA use cases, ensuring technical feasibility and measurable value.
• Manage product backlog and roadmap to ensure timely delivery.
• Lead end‑to‑end POC management: scoping, data assessment, partner coordination, experimentation, and evaluation of results.
• Coordinate activation activities: communication, onboarding, and support.
• Align product development with business requirements and client expectations.
• Work closely with data scientists, ML engineers, and domain SMEs to define solution requirements and ensure successful model deployment.
• Monitor adoption and performance metrics to drive continuous improvement.
• Define success metrics for AI deliverables and ensure responsible AI and data governance principles are applied.

To qualify for this role, you must have

• Bachelor’s or Master’s degree in Business, Engineering, Data Science, or related fields.
• +5 years of proven experience in product management, preferably in a digital or technological context.
• Hands‑on experience working with AI/ML or advanced analytics products, ideally driving POCs or MVPs in a business environment.
• Knowledge of agile methodologies (Scrum, Kanban).
• Familiarity with product management tools (Jira, Confluence, Trello).
• Ability to interpret data and make insight-driven decisions.
• Good understanding of ML lifecycle concepts (data pipelines, experimentation, model deployment, MLOps) is a plus.