Senior Consultant, Product Manager AI&Data, UKI
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI Product Manager Grade – Senior Consultant Level Position Overview We are seeking an AI Product Manager to join our consulting practice, supporting the development and deployment of cutting-edge AI solutions for our clients across consumer products, retail, health, life sciences, and energy sectors. This role requires a unique blend of technical depth, business acumen, and stakeholder management excellence to transform complex business challenges into scalable AI products. Your client impact
- Identify opportunities for AI applications that deliver measurable business value
- Develop product roadmaps that balance innovation with practical implementation considerations
- Collaborate with business and IT stakeholders to understand strategic priorities into clear, actionable technical specifications
- Collaborate with data scientists, data/AI/ML engineers, and architects to define technical solutions
- Write detailed user stories, acceptance criteria, and technical requirements documents
- Support decision-making on AI approaches, model selection, and technology stack by working closely with Solution Architects and AI engineers
- Evaluate and integrate emerging AI technologies and frameworks
- Manage product backlogs, sprint planning, and release cycles
- Monitor product metrics, KPIs, and success criteria
- Support in the development of change management and adoption strategies for AI products
- Design frameworks for continuous product monitoring, product improvement, and model retraining
- Contribute to the development of reusable assets and accelerators for future client engagements
- Establish best practices for AI product management across the practice
- Bachelor's degree or equivalent in Computer Science, Engineering, Data Science, or related technical field
- Demonstrated experience in at least one of the following industries: consumer products, retail, health, life sciences, or energy
- Solid understanding of at least one target industry's value chains, challenges, and opportunities
- Proven track record of successfully managing AI products from concept to production at scale
- Experience working within Agile and/or other project delivery frameworks
- Strong stakeholder management skills with good presentation and workshop facilitation skills.
- Strong analytical and problem-solving mindset with attention to detail.
- Strong communication skills, with the ability to clearly convey complex ideas to both technical and non-technical audiences.
- Proficient in storytelling with data and insights, supporting informed decision-making.
- Consulting skills, including the development of presentation materials and client-facing documentation.
- Experience in consulting or client-facing roles
- Deep understanding of AI concepts including supervised/unsupervised learning, deep learning, NLP, computer vision, Agentic AI, data, automation and generative AI
- Familiarity with modern AI frameworks and tools (e.g. TensorFlow, PyTorch, scikit-learn, UiPath, Databricks, Snowflake etc. )
- Familiarity with governance frameworks and compliance considerations for AI products
- Understanding of cloud platforms (AWS, Azure, GCP) and MLOps practices
- Knowledge of data engineering, integrations, and the software development lifecycle
- Strong business acumen with ability to quantify ROI and business impact of AI initiatives