(INV) Senior Consultant, AI & Data, Product Manager, TC UKI

EY; Birmingham; On-site; GBP 60,000 - 80,000; Full time

Job summary

A global consulting firm in Birmingham seeks an AI Product Manager to drive the development of cutting-edge AI solutions across various sectors. The ideal candidate has a strong technical background, excellent stakeholder management skills, and experience in delivering AI products at scale. This role offers a dynamic environment where innovation and practical implementation come together.

Qualifications

• Experience in consumer products, retail, health, life sciences, or energy.
• Track record of delivering AI products from concept to production.
• Proficiency in Agile project delivery methodologies.

Responsibilities

• Drive development of AI solutions for diverse industries.
• Manage product roadmaps and backlogs.
• Collaborate with stakeholders to define technical specifications.

Skills

Stakeholder management

Analytical skills

Problem-solving

Communication

Education

Bachelor’s degree in Computer Science

Tools

TensorFlow

PyTorch

scikit-learn

Job description

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.

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AI Product Manager - Job Specification

Grade – Senior Consultant Level

Position Overview

We are seeking an exceptional AI Product Manager to join our consulting practice, driving 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.

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

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