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Accenture

Advises businesses and runs their technology

Finance Process Excellence Manager

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

About the Job

Requirements

  • Strong expertise in Finance, financial planning and analysis, or connected planning process transformation, with exposure to artificial intelligence use case identification and process design.
  • Familiarity with artificial intelligence and machine-learning-powered forecasting techniques, including predictive analytics, anomaly detection, scenario modelling, and rolling forecast automation using Azure Machine Learning, Amazon Forecast, agentic or generative AI tools, or embedded artificial intelligence in enterprise performance management platforms.
  • Exposure to multi-agent artificial intelligence frameworks such as LangChain, CrewAI, or AutoGen for financial planning and analysis workflow automation, including narrative generation, variance analysis agents, or commentary drafting.
  • Hands-on experience with enterprise performance management or corporate performance management planning platforms such as Anaplan, Oracle EPM Cloud, Workday Adaptive, SAP BPC, or SAP Analytics Cloud for budgeting, forecasting, and driver-based modelling.
  • Awareness of financial planning and analysis processes and taxonomy for at least one industry.
  • Hands-on experience designing and deploying agentic or generative artificial intelligence-powered solutions, including working in design and development pods with forward-deployed engineers, artificial intelligence and data engineers, and automation specialists.
  • Ability to translate Finance process requirements into functional specifications for development teams and bridge Finance subject-matter experts with technical developers.
  • Fluency with large language models, prompt engineering, retrieval-augmented generation, LangChain, and AutoGen; ability to evaluate artificial intelligence model outputs for Finance use cases and identify appropriate approaches by process.
  • Exposure to automation and integration design, including mapping integration touchpoints, assessing API-based workflow automation opportunities, and contributing to value-case development.
  • Experience leveraging low-code or no-code platforms in Finance artificial intelligence programme design phases and understanding API middleware architectures.
  • Professional or educational qualification as a Chartered Accountant, Certified Public Accountant, MBA in Finance, B.Tech, B.E, or Bachelor's in Data Science; from a Tier 1 institute.
  • Seven to eleven years of experience.

Responsibilities

  • Lead end-to-end process excellence workstreams, including as-is process mapping from levels 1–4, maturity assessments, gap analysis, and to-be design across financial planning and analysis.
  • Lead Finance process transformation with artificial intelligence use case identification and design across financial planning and analysis, prioritizing interventions with measurable impact.
  • Design and deliver agentic artificial intelligence solutions, working in design and development pods with forward-deployed engineers, artificial intelligence and data engineers, and automation specialists.
  • Architect Finance artificial intelligence solutions by translating Finance process requirements into functional specifications for development teams and bridging Finance subject-matter experts and technical developers.
  • Evaluate artificial intelligence model outputs for Finance use cases and identify appropriate artificial intelligence approaches by process.
  • Map integration touchpoints, assess API-based workflow automation opportunities, and contribute to value-case development.
  • Leverage low-code or no-code platforms in Finance artificial intelligence programme design phases and apply understanding of API middleware architectures.
  • Manage project teams of 3–6 members, coach junior consultants, ensure delivery quality, and maintain client satisfaction throughout the engagement lifecycle.
  • Contribute to practice assets, including process frameworks, artificial intelligence use case playbooks, transition templates, and proposal content.
  • Partner with senior stakeholders to design artificial intelligence-enabled future-state processes and operating models, lead transition workstreams, and bridge Finance subject-matter experts with artificial intelligence, data, and technology teams to deliver measurable business outcomes.

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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