EY INV Senior Consultant AI & Data Product Manager TC UKI 

United Kingdom, England, Birmingham 

936642527

Client Impact

• Identify opportunities for AI/ML applications that deliver measurable business value
• Develop product roadmaps that balance innovation with practical implementation considerations and

• Partner with business and IT stakeholders to understand strategic priorities into clear, actionable technical specifications

• Collaborate with data scientists, ML engineers, and architects to define technical solutions
• Write detailed user stories, acceptance criteria, and technical requirements documents
• Make informed decisions on AI/ML approaches, model selection, and technology stack by working closely with data scientists and ML engineers
• Evaluate and integrate emerging AI technologies and frameworks

• Manage product backlogs, sprint planning, and release cycles
• Monitor product metrics, KPIs, and success criteria

• Develop change management and adoption strategies for AI products
• Create frameworks for continuous monitoring, improvement, and model retraining
• Build reusable assets and accelerators for future client engagements
• Establish best practices for AI product management across the practice

Essential Qualifications

• Bachelor's degree or equivalent in Computer Science, Engineering, Data Science, or related technical field (Master's preferred)

Essential Criteria

• Demonstrated experience in at least one of the following industries: consumer products, retail, health, life sciences, or energy
• Deep understanding of at least one target industry's value chains, challenges, and opportunities

• Proven track record of successfully delivering AI products from concept to production at scale
• Experience working within Agile and/or other project delivery frameworks

Soft Skills

• Excellent stakeholder management skills with good presentation and workshop facilitation skills.
• Strong analytical and problem-solving mindset with attention to detail.
• Excellent 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.

Desired Criteria

• Experience in consulting or client-facing roles

• Deep understanding of AI/ML concepts including supervised/unsupervised learning, deep learning, NLP, computer vision, and generative AI
• Familiarity with modern AI/ML frameworks and tools (TensorFlow, PyTorch, scikit-learn, etc.)
• Understanding of cloud platforms (AWS, Azure, GCP) and MLOps practices
• Knowledge of data engineering, APIs, and software development lifecycle

• Strong business acumen with ability to quantify ROI and business impact of AI initiatives