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- Tasks: Drive the development of innovative Data Agent capabilities and collaborate across teams.
- Company: Join EY, a leader in AI and data solutions with a global impact.
- Benefits: Future-focused skills, flexible work environment, and a diverse culture.
- Other info: Inclusive workplace committed to your growth and success.
- Why this job: Make a real difference in AI strategy while developing your career.
- Qualifications: Degree in computer science or related field; experience with AI and data management.
The predicted salary is between 60000 - 80000 £ per year.
The Global Data Office Data team is seeking a highly skilled and experienced Data Agent Product Manager to drive the development of the Data Agent capability, collaborating with many teams across EY in support of EY’s AI Ready Data Strategy.
Key Responsibilities
- Develop a comprehensive Data Agent offering, including solution design, commercial models, and support structures.
- Establish standards, methods, and tools to ensure consistent and scalable Data Agent development.
- Define the Agentic Data Stewardship framework in collaboration with the Data Stewardship Office.
- Lead the partnership with related EY Innovation initiatives, contributing to and leveraging a shared portfolio of agentic capabilities.
- Integrate Data Agents with EY.ai Data Marketplace and the EY.ai Simulation Hub to support the broader AI Ready Data Strategy.
- Lead enterprise adoption by managing demand, tracking usage, and measuring outcomes using clear KPIs.
- Communicate the value proposition of Data Agents to both internal and external audiences.
- Partner with regional and service line data teams to promote adoption and identify high‑value use cases.
- Lead the integrations of Data Agents with related solutions and platforms, including MCP server, enterprise data catalog, analytics tools, and knowledge graph platforms such as PoolParty (Graphwise).
Education & Experience
- Undergraduate degree, preferably in computer science, maths or engineering.
- Master’s in Business Administration is a plus.
- Demonstrable skills with AI and Agentic capabilities – fluent in all aspects of agentic tools, platforms and capabilities.
- Proven experience across the data management lifecycle – including data quality, data modelling, data engineering etc.
- Excellent business acumen to translate client needs into actionable solutions.
- Strong leadership and communication skills, with the ability to engage and influence stakeholders.
Benefits
At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.
Equal Opportunity / Inclusion Statement
To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability‑related adjustments or accommodations you may need.
EY.ai Data Agent Product Manager in Liverpool employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land EY.ai Data Agent Product Manager in Liverpool
✨Tip Number 1
Network like a pro! Reach out to current or former employees at EY through LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by understanding EY's AI Ready Data Strategy inside out. Show us that you’re not just a fit for the role but also passionate about what we do. Bring your ideas on how to enhance our Data Agent capabilities!
✨Tip Number 3
Practice your storytelling skills! When discussing your experience, frame it in a way that highlights your leadership and communication skills. We want to see how you can engage and influence stakeholders effectively.
✨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, it shows us you’re genuinely interested in joining our team!
We think you need these skills to ace EY.ai Data Agent Product Manager in Liverpool
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Agent Product Manager. Highlight your experience with AI, data management, and any relevant projects that showcase your skills in developing solutions and frameworks.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with EY's AI Ready Data Strategy. Don’t forget to mention specific experiences that demonstrate your leadership and communication skills.
Showcase Your Achievements: When detailing your experience, focus on quantifiable achievements. Use metrics to illustrate how you've driven enterprise adoption or improved data quality in previous roles. This will help us see the impact you can bring to our team.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at EY
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data management and AI capabilities. Brush up on your knowledge of data quality, modelling, and engineering, as well as the tools and platforms mentioned in the job description. This will help you confidently discuss how you can contribute to EY's AI Ready Data Strategy.
✨Showcase Your Leadership Skills
Prepare examples that highlight your leadership experience and ability to influence stakeholders. Think about times when you’ve successfully led a project or initiative, especially in a collaborative environment. This will demonstrate your fit for the role and your potential to drive enterprise adoption of Data Agents.
✨Communicate Value Effectively
Practice articulating the value proposition of Data Agents clearly and concisely. Be ready to explain how you would communicate this to both internal teams and external audiences. Tailoring your message to different stakeholders will show your understanding of their needs and how Data Agents can meet them.
✨Prepare for Integration Discussions
Familiarise yourself with the integration of Data Agents with various solutions and platforms like MCP server and analytics tools. Be prepared to discuss how you would approach these integrations and any relevant experiences you have had. This will showcase your technical acumen and strategic thinking.