Manager Analytics & AI - EY-Parthenon
About the job
- Approximately 4–7 years of experience in data engineering, data analytics, or related fields.
- Experience applying data and analytics to solve business problems in financial, operational, or commercial environments.
- Ability to identify use-case requirements, design solutions to load data, perform complex calculations, derive outputs, and deliver repeatable visual-output interface tools.
- Strong business acumen and technical knowledge to translate commercial problems into data requirements and formulate analytics solutions.
- Experience writing reports, drafting presentations, and developing data visualisation dashboards for client-facing deliverables.
- Ability to structure ambiguous business problems and develop data-driven recommendations.
- Experience working with large, complex datasets to communicate trends, patterns, anomalies, and business insights.
- Experience with SQL and Python or R.
- Experience building and maintaining data pipelines and analytical workflows.
- Understanding of user-experience aesthetics for client-facing data visualisation deliverables.
- Experience working with large and complex datasets in structured databases and distributed systems such as Databricks.
- Experience with cloud-based platforms such as Microsoft Azure, Amazon Web Services, or Google Cloud.
- Qualification in a highly numerate subject such as Computer Science, Operations Research, Statistics, Mathematics, Engineering, or Economics, or equivalent experience.
- Lead day-to-day assignment activities, including requirements definition, specification, data collection, solution design, development, testing, documentation, implementation, and user training.
- Work directly with clients and EY specialist teams to develop client deliverables, including data dashboards, web-hosted solutions, Word reports, and PowerPoint presentations.
- Explain complex technical concepts underpinning analyses in simple terms to clients.
- Identify assignment risks and involve Directors or Partners appropriately in their resolution.
- Design and build complex database models and visualisation dashboards for analysis of large, diverse datasets.
- Lead a team in designing analytical solutions, including data pipelines, visualisations, and machine learning models; undertake proof-of-concepts and implement solutions with support from Directors and Partners.
- Work with structured and unstructured data to identify trends, patterns, and key findings.
- Build scalable, reliable, 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 artificial intelligence capabilities.
- Support implementation of advanced analytical and artificial-intelligence-driven solutions where appropriate.
- Communicate analytical findings clearly to technical and non-technical audiences.
- Participate in client meetings, workshops, and working sessions.
- Build working relationships with clients, colleagues, and wider EY teams.
- Manage stakeholder expectations regarding deliverables, timelines, and project outcomes.
- Take ownership of the team’s tasks and help develop junior team members’ skills and technical expertise.
- Support, mentor, and train junior team members where appropriate.
- Stay informed about developments in analytics, artificial intelligence, data management, and emerging technologies.
- Exposure to transaction support, value creation, or fast-paced delivery environments.
- Experience in consulting, professional services, finance, financial planning and analysis, transaction services, or analytics-focused teams.
- Experience with Power BI, Tableau, or other data visualisation platforms for client-facing deliverables.
- Experience with generative artificial intelligence and machine learning concepts and applications.
- Experience with structured and unstructured data management.
- Experience with statistical analysis and predictive modelling.
- Experience with artificial-intelligence-enabled analytics and automation solutions.
- Experience with financial, operational, and commercial reporting and relevant performance metrics.
- Understanding of basic corporate finance and accounting concepts.
- Experience in a professional services environment, including exposure to high-profile transactions.
- Knowledge and experience relating to one or more specific sectors.
- Experience with visualisation tools including Power BI, Tableau, Tibco Spotfire, RShiny, plotly-dash, D3.js, or QlikSense.
- Experience with SQL, Microsoft Excel, and Visual Basic for Applications.
- Experience applying analytical techniques such as naïve Bayes, decision trees, random forest, XGBoost, and k-means to predictive forecasting, prescriptive action, and capacity planning problems.
- Experience working in teams, managing junior team members’ workload, and coaching junior staff.
- Interest in emerging artificial intelligence technologies and their application to business challenges.
- Experience working within cross-functional teams and managing multiple stakeholders.
About the company
EY is a global professional services firm that offers consulting, assurance (audits), tax, and transaction advisory services to a wide range of clients including corporations, SMEs, and government entities. It earns fees for these services and uses its industry expertise and a worldwide network to help clients optimize operations, manage risk, and achieve sustainable growth. EY differentiates itself through its scale and reach, industry specialization, focus on end-to-end services, strategic alliances, and emphasis on innovation and sustainability, including improving audit quality and addressing digital economy needs and supply chain visibility. The company’s goal is to help clients navigate complex regulatory and business environments, transform finance and tax functions, and drive efficiency and resilience across their operations.
Company Size
1,001-5,000
Company Stage
N/A
Total Funding
N/A
Headquarters
London, United Kingdom
Founded
1991
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Simplify's Take
What believers are saying
- EY.ai Agentic for Sales launched March 2, 2026 with Snowflake and Canva.
- EY uses client-zero deployments, scaling Copilot across 400,000 people by May 2026.
- EY’s 2026 AI assurance push monetizes client demand for governance, controls, and risk reviews.
What critics are saying
- Sabah filed RM2.4 billion audit-negligence claims against EY on July 30, 2026.
- EY set aside £188 million in March 2026 after NMC, Shell, and Made.com scrutiny.
- Repeated audit failures can destroy trust, trigger client defections, and shrink the franchise permanently.
What makes Ernst & Young unique
- EY Canvas processes 1.4 trillion journal-entry lines across 160,000 global audits.
- EY-Microsoft invested US$1b+ in May 2026 to industrialize enterprise AI delivery.
- EY launched agentic audit AI on April 7, 2026, spanning Assurance and AI assurance.
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Benefits
Professional Development Budget
Flexible Work Hours
Remote Work Options
Company News
EY added nearly 10,000 staff globally in its 2026 financial year as AI-related revenue surged almost 50%. The Big Four firm's workforce reached 415,000, with most growth concentrated in global delivery services and offshoring centres. The Americas division saw headcount decrease by roughly 4,500, or 5%. Overall global revenue rose 4.7% to $57 billion. EY-Parthenon was the fastest-growing service line, with revenue increasing 7.4% to $6.8 billion, marking a turnaround after two years of minimal growth. Tax revenue rose 6% to $13.8 billion, whilst consulting grew 4.4% to $17.4 billion. The results reflect EY's "All-In" strategy under global chair Janet Truncale, with billions invested in transforming operations and AI services.
An Ernst & Young study found US oil and gas producers reached record production in 2025 while becoming more selective with investments. The analysis of 30 major exploration and production companies, representing 43% of US oil and gas output, showed oil production hit a study-period high, yet reserve additions from extensions and discoveries declined 11% year over year and failed to fully replace production volumes for the first time since 2021. Total capital expenditures fell 49% year over year, whilst M&A spending declined 70%. Exploration spending dropped 11% to $4.8 billion, representing only 3% of total capital expenditures. Natural gas showed stronger fundamentals, with production rising 18%, reserves increasing 14%, and discoveries up 21%.
Ernst & Young's US division is allocating $100 million this fiscal year to bonus payments rewarding employees who demonstrate adaptability, innovation, and judgement. Individual spot awards reach $500, whilst employees or teams making significant contributions can receive between $10,000 and $25,000, five times the previous programme's ceiling. The initiative also covers AI experimentation. "What we recognise signals what we value," said Ginnie Carlier, chief talent and culture officer for EY Americas. The bonuses form part of a broader strategy to reshape employee development across all career levels. Other professional services firms are pursuing similar approaches. KPMG restructured its audit internship this summer to emphasise critical thinking, whilst PwC US introduced training combining AI proficiency with human qualities like empathy. EY reported AI-related revenue grew 30% year-over-year in 2025.
EY-Parthenon has acquired SparkOptimus, a Dutch digital strategy consultancy founded in 2010. The Amsterdam-based firm employs around 50 consultants and specialises in AI transformation, digital business model redesign and technology-driven transformation. SparkOptimus founders Alexandra Jankovich and Tom Voskes, both former McKinsey consultants, said joining EY-Parthenon will create significant value for clients and staff whilst providing access to broader capabilities. The acquisition marks EY-Parthenon's first European deal since 2021. EY-Parthenon, established in 2014, is EY's strategy consulting and transactions advisory business with around 25,000 professionals globally. Mark Reich, Partner at EY-Parthenon Netherlands, said SparkOptimus' expertise will complement existing capabilities in the Dutch market. The deal closes on 1 September 2026. Financial terms were not disclosed.
The UK Government has awarded a contract worth up to £456 million to KPMG and EY to train civil servants, the Financial Times reported, citing government procurement tracker Tussell. Under the arrangement, the firms will train officials across various skills areas, including AI, between 2026 and 2028. KPMG's share is capped at £319 million, representing almost a quarter of its total UK advisory net sales from last year. EY's portion is worth £137 million, equivalent to around 13% of its UK consulting revenue. The deal is the largest single contract awarded to Big Four companies since Tussell started tracking records in 2012. The previous record was a £322 million deal between the Foreign Office and PricewaterhouseCoopers in 2012.