EY Parthenon – Business Product Manager

Overview

As a Product Leader for Strategy and Transactions data products, you will own the end-to-end lifecycle of data assets that power benchmarks, KPIs, and pricing insights. You’ll transform engagement data into reusable products, enabling high-value client outcomes across global deal environments. You’ll collaborate with engineers, data scientists, and domain experts to ship scalable data pipelines and user-friendly analytics tools. This role combines product, data, and deal delivery at a global scale, offering impact across transformational initiatives.

Pay / Benefits

• flexible environment
• diverse and inclusive culture
• globally connected teams
• senior stakeholder exposure
• world-class experiences
• global scope

Responsibilities

• Define product vision and roadmaps for SaT data products
• Manage end-to-end lifecycle: discovery, build, launch, scale
• Develop high-impact use cases (benchmarks, pricing intelligence, KPIs)
• Ensure data product quality: accuracy, usability, trust
• Drive adoption with global users in live deal environments
• Build data products powered by engagement data
• Create benchmarking platforms with evidence-backed insights
• Develop scalable data pipelines (ingestion, structuring, normalization)
• Deliver user-facing tools (self-serve analytics, copilots, dashboards)
• Collaborate with domain experts, engineers, data scientists, and AI teams
• Translate ambiguous needs into clear requirements
• Iterate rapidly using user feedback and usage data
• Balance speed, quality, and scalability
• Influence without authority in global environments
• Communicate effectively with both technical and business audiences

Key requirements

• Proven track record shipping data or platform products
• Strong product intuition on what to build and for whom
• Ability to operate in ambiguity and define clarity
• Experience with data models, pipelines, and analytics systems
• Familiarity with AI/ML or data extraction (NLP) preferred
• Comfortable working closely with engineering teams
• Bias for action and ability to ship products
• Strong prioritization and roadmap management
• Influence without authority in complex environments
• Experience in transactions, consulting, or financial data (nice to have)

• Strong communication across technical and business audiences
• Ambiguity tolerance and clarity
• Cross-functional collaboration
• Data models
• Pipelines and analytics systems
• AI/ML familiarity or NLP

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