At a Glance
- Tasks: Drive the development of innovative AI solutions for diverse industries.
- Company: Join EY, a leader in consulting and technology innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and career advancement.
- Why this job: Make a real impact by transforming complex challenges into scalable AI products.
- Qualifications: Bachelor's degree in a technical field and experience in AI product delivery.
The predicted salary is between 36000 - 60000 £ per year.
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.
Responsibilities
- Identify opportunities for AI/ML applications that deliver measurable business value.
- Develop product roadmaps that balance innovation with practical implementation considerations.
- Partner with business and IT stakeholders to understand strategic priorities and translate them 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.
Qualifications
- Bachelor’s degree or equivalent in Computer Science, Engineering, Data Science, or related technical field (Master’s preferred).
- 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 strong presentation and workshop facilitation abilities.
- 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.
About EY
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
(INV) Senior Consultant, AI & Data, Product Manager, TC UKI in Birmingham employer: EY
At EY, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Senior Consultant in AI & Data, you will have the opportunity to work with cutting-edge technologies while benefiting from a supportive environment that prioritises professional growth and development. Our commitment to building a better working world is reflected in our focus on employee well-being, diverse career paths, and the chance to make a meaningful impact across various industries.
StudySmarter Expert Advice🤫
We think this is how you could land (INV) Senior Consultant, AI & Data, Product Manager, TC UKI in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI product management. We suggest doing mock interviews with friends or using online platforms to get comfortable with articulating your experience and skills.
✨Tip Number 3
Showcase your projects! Whether it's a portfolio or case studies, we recommend having tangible examples of your work ready to share. This will help potential employers see the value you can bring to their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace (INV) Senior Consultant, AI & Data, Product Manager, TC UKI in Birmingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Product Manager role. Highlight your experience in AI/ML, stakeholder management, and any relevant industry knowledge to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for AI and how your background can help us drive innovation in our consulting practice.
Showcase Your Achievements:When detailing your past roles, focus on specific achievements that demonstrate your ability to deliver AI products at scale. Use metrics where possible to quantify your impact – we love numbers!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at EY
✨Know Your AI Stuff
Make sure you brush up on your AI/ML concepts, especially those mentioned in the job description like supervised learning and NLP. Be ready to discuss how you've applied these in real-world scenarios, as this will show your technical depth and understanding of the industry.
✨Showcase Your Stakeholder Skills
Prepare examples that highlight your stakeholder management abilities. Think about times when you successfully collaborated with both technical and non-technical teams. This will demonstrate your communication skills and ability to translate complex ideas into actionable plans.
✨Bring Your Product Management Experience
Be ready to talk about your experience with product roadmaps and Agile methodologies. Share specific instances where you managed product backlogs or sprint planning, as this will showcase your practical implementation skills and understanding of the product lifecycle.
✨Quantify Your Impact
When discussing your past projects, focus on quantifying the ROI and business impact of your AI initiatives. Use metrics and KPIs to illustrate your success, as this aligns perfectly with the role's emphasis on delivering measurable business value.
