At a Glance
- Tasks: Lead the development of innovative Data Agent solutions and frameworks.
- Company: Join EY, a global leader in professional services with a focus on innovation.
- Benefits: Gain future-focused skills, flexible work environment, and diverse team culture.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make an impact in AI and data management while growing 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.
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.
- Support 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.
- Manage adoption by managing demand, tracking usage, and measuring outcomes using clear KPIs.
- Develop training content for the AI Ready Data Academy and cultivate a community of practice.
- Communicate the value proposition of Data Agents to both internal and external audiences.
- Support regional and service line data teams to promote adoption and identify high value use cases.
- Design and deliver technical integrations, including MCP server, enterprise data catalog, analytics tools, and Semantic Layer, 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.
- Business acumen to translate client needs into actionable solutions.
- Strong leadership and communication skills, with the ability to engage and influence stakeholders.
What we offer you
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. 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 Owner employer: Job Search Place Limited
At EY, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. As a Data Agent Product Owner, you will have access to world-class training and development opportunities, empowering you to grow your skills in a flexible environment while contributing to cutting-edge AI initiatives. Our commitment to diversity and support for employee well-being ensures that you can thrive both personally and professionally in this exciting role.
StudySmarter Expert Advice🤫
We think this is how you could land EY.ai Data Agent Product Owner
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We think you need these skills to ace EY.ai Data Agent Product Owner
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Job Search Place Limited
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
