At a Glance
- Tasks: Lead the development of innovative data products that drive impactful insights.
- Company: Join EY, a global leader in consulting and strategy.
- Benefits: Flexible work environment, world-class training, and diverse culture.
- Other info: Global role with opportunities for career growth and senior exposure.
- Why this job: Make a real difference in client outcomes with cutting-edge data solutions.
- Qualifications: Experience in product management and data analytics.
The predicted salary is between 60000 - 80000 £ per year.
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.
We are looking for a seasoned product leader to build and scale data products that power differentiated insights across Strategy and Transactions (SaT). This role sits at the intersection of product management, data, and deal delivery—owning the end-to-end lifecycle of SaT data assets (benchmarks, KPIs, insights) from strategy through execution and adoption. You will transform fragmented engagement data into high-quality, reusable data products that drive better, faster, and more defensible client outcomes.
What You’ll Own
- Product vision and roadmap for SaT data products
- End-to-end lifecycle: discovery → build → launch → scale
- High-impact use cases (benchmarks, pricing intelligence, KPIs)
- Data product quality: accuracy, usability, and trust
- Adoption across global users and live deal environments
What You’ll Build
- Benchmarking platforms with traceable, evidence-backed insights
- Scalable data pipelines (ingestion, structuring, normalization)
- User-facing tools (self-serve analytics, copilots, dashboards)
How You’ll Work
- Partner with domain experts to identify high-value problems
- Work with engineers, data scientists, and AI teams to build solutions
- Translate ambiguous needs into clear product requirements
- Iterate quickly using user feedback and usage data
- Balance speed, quality, and scalability
What We’re Looking For
Product Craft
- Proven track record shipping data or platform products
- Strong product intuition: what to build, why, and for whom
- Ability to operate in ambiguity and define clarity
Data & Technical Depth
- Experience with data models, pipelines, and analytics systems
- Familiarity with AI/ML or data extraction (e.g., NLP) preferred
- Comfortable working closely with engineering teams
Execution
- Bias for action; able to go from idea to shipped product
- Strong prioritization and roadmap management
Stakeholder Leadership
- Influence without authority in complex, global environments
- Communicate clearly with both technical and business audiences
Domain (Nice to Have)
- Experience in transactions, consulting, or financial data
Why This Role
- Build data products in a high-value, real-world domain
- Direct impact on deal outcomes and client value creation
- Global role with senior stakeholder exposure
- Operate at the intersection of data, AI, and strategy
- Global scope, high visibility, fast-growing space
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 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.
EY Parthenon - Business Product Manager in London employer: EY Studio+ Nederland
At EY, we pride ourselves on being an exceptional employer that fosters a culture of inclusivity and innovation. As a Business Product Manager, you will have the opportunity to work in a dynamic environment where your contributions directly impact client outcomes and drive meaningful change. With a commitment to employee development, flexible working arrangements, and a diverse team, EY empowers you to shape your career while building a better working world.
StudySmarter Expert Advice🤫
We think this is how you could land EY Parthenon - Business Product Manager in London
✨Tip Number 1
Network like a pro! Reach out to current or former EY employees on LinkedIn. Ask them about their experiences and any tips they might have for landing the Business Product Manager role. Personal connections can give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for the interview by diving deep into EY's data products and recent projects. Show us that you understand the business and can speak the language of product management, data, and strategy. Tailor your examples to highlight your experience with data models and analytics systems.
✨Tip Number 3
Practice your storytelling skills! When discussing your past experiences, frame them in a way that showcases your product intuition and ability to operate in ambiguity. We want to hear how you turned challenges into successful outcomes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows your commitment to joining EY and building a better working world with us.
We think you need these skills to ace EY Parthenon - Business Product Manager in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Business Product Manager role. Highlight your experience with data products and how you've successfully managed product lifecycles in the past. We want to see how you can bring your unique skills to our team!
Showcase Your Impact:When detailing your previous roles, focus on the impact you've made. Use specific examples of how your work has led to better client outcomes or improved processes. We love seeing quantifiable results that demonstrate your ability to drive success.
Be Clear and Concise:In your written application, clarity is key! Avoid jargon and keep your language straightforward. We appreciate a well-structured application that clearly communicates your qualifications and enthusiasm for the role.
Apply Through Our Website:Don’t forget to submit your application through our official website! This ensures it gets to the right people quickly. Plus, it’s the best way to stay updated on your application status. We’re excited to see what you bring to the table!
How to prepare for a job interview at EY Studio+ Nederland
✨Know Your Product Inside Out
Before the interview, dive deep into EY's data products and their impact on Strategy and Transactions. Be ready to discuss how you would enhance product vision and roadmap based on your understanding of the market and user needs.
✨Showcase Your Data Savvy
Prepare to talk about your experience with data models, pipelines, and analytics systems. Highlight specific examples where you've successfully transformed data into actionable insights, as this role heavily relies on data quality and usability.
✨Demonstrate Stakeholder Leadership
Think of instances where you've influenced decisions without direct authority. Be ready to share how you communicated effectively with both technical and business audiences, as this will be crucial in a complex global environment like EY.
✨Embrace Ambiguity and Adaptability
EY values candidates who can operate in uncertain situations. Prepare examples that showcase your ability to define clarity from ambiguity and iterate quickly based on user feedback, which is essential for building scalable data products.
