Manager, Analytics & AI, EY-Parthenon

Job ID: 1433534633Location: London, GB, SE1 2AFJob Function: Transactions & Corporate Finance (TCF)Employer: EY Global ServicesApply by: 2026-10-04Company: EYAt 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. Manager, Analytics & AI, EY-ParthenonEY-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 ResponsibilitiesClient DeliveryLead day-to-day activities throughout the life-cycle of an assignment – requirements definition, specification, data collection, solution design, development, testing, documentation, implementation, and user trainingWork 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 presentationsExplain complex technical concepts underpinning your analysis in simple terms to clients to help them understand how their business needs are being addressedIdentify risk on the assignment, involving Director / Partner appropriately in its resolutionAnalytics & AI SolutionsDesign and build complex database models and insightful visualisation dashboards to perform analysis on large diverse datasetsLeading 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 PartnersWork with structured and unstructured data to identify trends, patterns and key findingsBuild scalable, reliable and fit-for-purpose data models, datasets and reporting solutionsConduct data quality assessments and validation activities to ensure analytical outputs are accurate and reliableContribute to innovation initiatives and proof-of-concepts exploring emerging analytics, machine learning and AI capabilitiesSupport the implementation of advanced analytical and AI-driven solutions where appropriateStakeholder EngagementCommunicate analytical findings clearly and effectively to technical and non-technical audiencesParticipate in client meetings, workshops and working sessionsBuild strong working relationships with clients, colleagues and wider EY teams. Manage stakeholder expectations regarding deliverables, timelines and project outcomesContinuously seek feedback and identify opportunities to improve deliverable quality and client serviceTeam & Personal DevelopmentTake ownership of your team's tasks and work with junior team members and help develop their skills and technical expertiseCollaborate effectively with colleagues across different grades and service linesSupport, mentor, and train junior team members where appropriateTake ownership of personal development and continuously build technical, commercial, and consulting skillsStay informed on developments in analytics, AI, data management and emerging technologiesSkills & ExperienceCore ExperienceApproximately 4–7 years experience in data engineering, data analytics, or related fields, ideally in a consulting or in-house strategy environmentExposure to transaction support, value creation or fast-paced delivery environments is beneficialExperience applying data and analytics to solve business problems in financial, operational or commercial environmentsExperience gained within consulting, professional services, finance, FP&A, transaction services or analytics-focused teams is highly desirableConsulting & Communication SkillsAbility to work with clients and deliverable users, identify their particular use case requirements, design appropriate solutions to load data, perform complex calculations, derive outputs and deliver interface tools to provide repeatable visual outputStrong business acumen and technical knowledge to translate commercial problem into data requirement and formulate analytics solutionExcellent oral and written communication skills – including experience of writing reports, drafting presentations and developing data visualisation dashboards to effectively communicate advice to clientsCapability to communicate the business and non-technical implications of technical roadblocks and technical design decisions to non-technical clientsAbility to structure ambiguous business problems and develop data-driven recommendationsExperience working with large, complex datasets to communicate trends, patterns, anomalies, and business insightsAbility to communicate effectively with both business and technical stakeholdersTechnical SkillsWe value individuals who can learn quickly and apply the right approach to solve business challenges.

Experience in the following areas is highly desired: SQL and Python or RBuilding and maintaining data pipelines and analytical workflowsVisually creative, with a good understanding of UX aesthetics gained from working with Power BI, Tableau or other data visualisation platforms for client facing deliverablesWorking with large and complex datasets, ideally in structured databases and distributed systems like DatabricksCloud-based platforms such as Microsoft Azure, AWS or Google CloudExperience in some of the following areas would also be beneficial: Generative AI and machine learning concepts and applicationsStructured and unstructured data managementStatistical analysis and predictive modellingAI-enabled analytics and automation solutions QualificationsQualification in a Highly Numerate Subject (e.g. Computer Science, Operational Research, Statistics, Mathematics, Engineering, or Economics) or equivalent experience Ideally, You'll Also HaveExperience of financial, operational, and commercial reporting and relevant performance metricsAn understanding of basic corporate finance and accounting conceptsExperience of working in a professional services environment, including exposure to high profile transactionsKnowledge and experience relating to one or more specific sectors is preferredExperience of working with visualisation tools including Power BI, Tableau, Tibco Spotfire, RShiny, plotly-dash, D3.js, or QlikSenseExperience in SQL (any variant), MS Excel and VBAExperience in applying various analytical techniques (e.g. na ve bayes, decision trees, random forest, xgboost and k-means), to calculate problems such as predictive forecasting, prescriptive action, capacity planning.

Experience of working in teams, managing the workload of junior team members, and coaching junior staffInterest in emerging AI technologies and their application in solving business challengesExperience working within cross-functional teams and managing multiple stakeholdersWhat We Look ForIndividuals who are passionate about using data and AI to solve critical business problemsStrong communicators who can bridge the gap between business stakeholders and technical teamsProfessionals who combine analytical rigour with commercial thinkingTeam players who thrive in collaborative environments and contribute positively to team cultureIndividuals who are adaptable and excited by the rapidly evolving analytics and AI landscapeEY | Building a better working world 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.