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Accenture

Advises businesses and runs their technology

Intelligent Enterprise Performance & Analytics Manager

Financial & Transaction AdvisoryConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Deep command of enterprise performance management, including planning, forecasting, consolidation, reporting and close, and financial planning and analysis, including driver-based and rolling forecasting, scenario modelling and long-range planning.
  • Own end-to-end enterprise performance management solution architecture, including models, dimensions and business rules, and lead platform-selection and architecture decisions across leading tools such as Oracle EPM, OneStream and Anaplan.
  • Understand how enterprise performance management connects with enterprise resource planning systems, operational systems and modern cloud data platforms.
  • Set target finance data architecture connecting actuals, drivers, assumptions and forecasts; be fluent enough in pipelines, integration and data quality to own design and hold the build to account.
  • Understand how enterprise performance management works alongside platforms such as Snowflake, Palantir Foundry or Databricks as a governed data and AI foundation for finance.
  • Own the design of AI and machine-learning use cases for planning, including predictive forecasting, anomaly detection, automated variance analysis, AI-generated commentary and agentic planning workflows, with human-in-the-loop controls.
  • Know how to move clients from isolated AI experiments to governed, explainable capabilities trusted by the business.
  • Be a strong client-facing consultant, comfortable with CFOs, controllers, financial planning and analysis leaders and senior technology stakeholders, and turn complex finance, data and technology topics into clear business recommendations.
  • Lead multidisciplinary and distributed teams, exercise sound judgment and structured problem-solving on ambiguous problems, communicate clearly under pressure, develop colleagues and make decisive calls.

Responsibilities

  • Design data architecture and AI for enterprise performance management platforms and finance planning and forecasting.
  • Direct engineers building finance data architecture and integrations, and direct data scientists and AI engineers building AI and machine-learning solutions.
  • Lead complex enterprise performance management, data and AI programmes end to end, from discovery and architecture through deployment, adoption and hypercare.
  • Direct functional, technical, data and change workstreams across a multidisciplinary team.
  • Act as design authority, ensure solutions meet finance requirements for control, reconciliation and auditability, and align senior stakeholders through design reviews and governance.
  • Build trusted relationships with CFOs, finance leaders, CIOs and chief data officers; originate and shape enterprise performance management, finance-transformation, data and AI opportunities; and develop the offering, reusable assets and points of view that grow the practice.
  • Lead and develop the people around you.

Desired Qualifications

  • A track record, typically 7 or more years, delivering enterprise performance management programmes end to end.
  • Hands-on experience with one or more leading enterprise performance management platforms, such as Oracle EPM, OneStream or Anaplan.
  • Experience integrating enterprise performance management with modern data platforms such as Snowflake, Palantir Foundry or Databricks as a governed data and AI foundation for finance.
  • A track record of data, analytics or AI-enabled finance solutions, including predictive forecasting and generative or agentic use cases.
  • Familiarity with SQL, application programming interfaces and modern data-integration technologies, and some exposure to Python or machine-learning platforms; deep engineering is not required.
  • Relevant enterprise performance management, cloud-data or AI certifications.
  • A professional finance or accounting qualification such as ACA, ACCA or CIMA, or equivalent industry experience.
  • Experience using agentic tooling and orchestration in delivery.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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