EY Parthenon - Business Product Manager

EY-Parthenon

Manchester

On-site

GBP 70,000 - 90,000

Full time

14 days+

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Job summary

EY-Parthenon is seeking a seasoned product leader in Manchester to build and scale data products for Strategy and Transactions. You will own the end-to-end lifecycle of these products, ensuring quality and user adoption. Ideal candidates have a proven track record in shipping data products, strong communication skills, and the ability to work with technical and business audiences. This role offers a unique opportunity to impact deal outcomes in a high-visibility, fast-growing environment.

Qualifications

  • Proven track record shipping data or platform products.
  • Experience with data models, pipelines, and analytics systems.
  • Ability to operate in ambiguity and define clarity.

Responsibilities

  • Own the end-to-end lifecycle of SaT data products.
  • Partner with domain experts to identify high-value problems.
  • Work with engineers and data scientists to build solutions.

Skills

Product vision and roadmap development
Data product quality management
Engagement data utilization
Stakeholder influence
Data models and pipeline experience

Job description

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 from strategy through execution and adoption.

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 trustAdoption across global users and live deal environments
What You’ll Build
  • Data products powered by real engagement data
  • 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
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

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