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EY
EY

EY, previously known as Ernst & Young, is a British multinational professional services network based in London, United Kingdom

EY.ai Data Agent Product Owner

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게시1주 전
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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. Join EY and help to build a better working world. EY aspires to become the world’s most trusted AI-powered professional services firm, delivering transformative value to clients and employees. Leveraging its extensive data across finance, legal, HR, and core business operations, EY is uniquely positioned to accelerate its data strategy and unlock new opportunities for growth and protection of its business. To achieve this vision, all Service Lines and global regions must collaborate on strategic priorities aligned with EY’s “All In” goal: safeguarding the current US$50B revenue base while generating the next US$50B. Central to this effort is advancing data management across its lifecycle to enhance existing services and create innovative offerings. EY’s AI Ready Data Strategy, led by Applied Innovation and the Global Data Office, is the foundation for this transformation. The Data Office drives applied innovation by redefining how data is discovered, managed, utilized, and scaled. As we embark on a journey to be AI Ready at EY, the data office is leading a key new capability that will transform how EY and its clients use AI and Agentic technology to transform data management: ‘EY.ai Data Agents’. EY.ai Data Agents are the core trusted digital assistants of EY’s data estate. Built to perform, certified to scale, and always operating under the stewardship of EY professionals, they unlock the full potential of data across the firm. Whether it’s onboarding a client, validating entities, or orchestrating complex data flows, EY.ai Data Agents accelerate delivery, enhance trust and raise the bar for quality. Data Agents unlock EY’s data estate while keeping humans firmly in control. The opportunity The Global Data Office Data team is seeking a highly skilled and experienced Data Agent product owner to drive the development of the Data Agent capability. As the product owner, you will be focussed on the execution of the data agent vision, working closely with EY’s innovation community, key clients and Alliance partners to build a world leading agentic capability. You will be a ‘hands on’ agentic data lead, passionate and energetic, exceptional communication and stakeholder skills. You will translate strategy into action; transforming how EY will execute data driven, AI powered services. Your 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 delivery of 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. Learn more . Are you ready to shape your future with confidence? Apply today. 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 | Building a better working world 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.

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EY 소개

EY

EY

Public

EY, previously known as Ernst & Young, is a British multinational professional services network based in London, United Kingdom. Along with Deloitte, KPMG and PwC, it is one of the Big Four professional services firms.

10,001+

직원 수

London

본사 위치

리뷰

2개 리뷰

2.7

2개 리뷰

워라밸

2.0

보상

3.0

문화

2.2

커리어

3.5

경영진

1.8

25%

지인 추천률

장점

Opportunity to become top performer

Handle large accounts

High responsibility roles

단점

Long hours and intense work pressure

Poor management and leadership

Burnout issues

연봉 정보

31,254개 데이터

Mid/L4

Mid/L4 · Operations Research Analyst

1,738개 리포트

$142,571

총 연봉

기본급

$136,899

주식

-

보너스

$5,673

$100,128

$203,912

면접 후기

후기 7개

난이도

3.0

/ 5

소요 기간

14-28주

합격률

57%

면접 과정

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Technical/Case Interview

5

Partner/Director Interview

6

Offer

자주 나오는 질문

Behavioral/STAR

Case Study

Technical Knowledge

Past Experience

Culture Fit