Manager, Analytics & AI, EY-Parthenon

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Manager, Analytics & AI, EY-Parthenon EY-Parthenon is seeking a motivated Manager to join its Analytics & AI practice, supporting clients to unlock value from data through analytics, reporting, AI and data-driven insights. This role is ideal for an individual with a strong commercial and technical mindset who enjoys solving business problems using data and is looking to develop both consulting and technical expertise. Managers work across a variety of strategic engagements across the deal lifecycle helping clients make informed business decisions by transforming complex data into actionable insights. Working alongside experienced consultants, managers and senior leaders, you will design and deliver high-quality analytics solutions, develop meaningful business insights and communicate findings confidently to both technical and non-technical stakeholders.   Key Responsibilities Client Delivery

Lead day-to-day activities throughout the life-cycle of an assignment – requirements definition, specification, data collection, solution design, development, testing, documentation, implementation, and user training Work directly with clients as well as other EY specialist teams to develop formal deliverables for clients including data dashboards (Excel or other data visualisation tools), web hosted solutions, Word reports, and PowerPoint presentations Explain complex technical concepts underpinning your analysis in simple terms to clients to help them understand how their business needs are being addressed Identify risk on the assignment, involving Director / Partner appropriately in its resolution

Analytics & AI Solutions

Design and build complex database models and insightful visualisation dashboards to perform analysis on large diverse datasets Leading a team in designing analytical solutions (data pipelines, visualisations, machine learning models), undertaking proof-of-concepts, and implementing these solutions to help clients to compete effectively in this dynamic environment with the support of Directors and Partners Work with structured and unstructured data to identify trends, patterns and key findings Build scalable, reliable and fit-for-purpose data models, datasets and reporting solutions Conduct data quality assessments and validation activities to ensure analytical outputs are accurate and reliable Contribute to innovation initiatives and proof-of-concepts exploring emerging analytics, machine learning and AI capabilities Support the implementation of advanced analytical and AI-driven solutions where appropriate

Stakeholder Engagement

Communicate analytical findings clearly and effectively to technical and non-technical audiences Participate in client meetings, workshops and working sessions Build strong working relationships with clients, colleagues and wider EY teams. Manage stakeholder expectations regarding deliverables, timelines and project outcomes Continuously seek feedback and identify opportunities to improve deliverable quality and client service

Team & Personal Development

Take ownership of your team’s tasks and work with junior team members and help develop their skills and technical expertise Collaborate effectively with colleagues across different grades and service lines Support, mentor, and train junior team members where appropriate Take ownership of personal development and continuously build technical, commercial, and consulting skills Stay informed on developments in analytics, AI, data management and emerging technologies

Skills & Experience Core Experience

Approximately 4–7 years experience in data engineering, data analytics, or related fields, ideally in a consulting or in-house strategy environment