Manager, Analytics & AI, EY-Parthenon

Overview

In this role you lead and deliver analytics and AI-driven solutions for clients, translating data into actionable insights. You will work with EY-Parthenon teams to design dashboards, data models, and ML concepts that support strategic deal decisions. You’ll explain complex analytics in plain language to diverse audiences and contribute to innovative analytics initiatives. This position offers hands-on consulting experience with cross-functional collaboration and tangible client impact.

Responsibilities

• Lead end-to-end client engagements: requirements, design, development, testing, implementation and training
• Create deliverables like dashboards, reports, and presentations; articulate findings to clients
• Identify and escalate risks with senior leadership as needed
• Design and build complex data models and dashboards for large datasets
• Lead a team on analytical solution design (data pipelines, visualisations, ML models) and POC work
• Work with structured and unstructured data to uncover trends and insights
• Build scalable data models and reporting solutions; conduct data quality validation
• Support innovation initiatives exploring emerging analytics and AI capabilities
• Assist in implementing advanced analytical and AI-driven solutions
• Communicate results clearly to technical and non-technical stakeholders
• Engage in client workshops and build strong stakeholder relationships
• Mentor junior team members and support their development

Key requirements

• Approximately 4–7 years in data engineering or data analytics, preferably in consulting or strategy
• Experience applying data/analytics to business problems in financial, operational, or commercial contexts
• Experience in consulting, professional services, finance, FP&A, or analytics-focused teams
• Strong ability to translate business problems into data requirements and analytical solutions
• Excellent written and verbal communication; ability to present to clients
• Experience with large, complex datasets and cross-functional stakeholders
• Ability to structure ambiguous problems and deliver data-driven recommendations

• Strong business acumen
• Collaborative team player
• Adaptable and customer-focused
• SQL
• Python or R
• Data pipelines and analytical workflows

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