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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-timeMumbai, Maharashtra, IndiaNo salary listed

About the Job

Requirements

  • Strong finance, financial planning and analysis, or connected planning process transformation expertise, including artificial intelligence use case identification and process design exposure.
  • 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 artificial intelligence 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, and commentary drafting.
  • Hands-on experience with enterprise performance management or corporate performance management planning platforms such as Anaplan, Oracle EPM Cloud, Workday Adaptive, or SAP BPC/Analytics Cloud for budgeting, forecasting, and driver-based modelling.
  • Awareness of financial planning and analysis processes and taxonomy for at least one industry.
  • 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.
  • Knowledge of large language models, prompt engineering, retrieval-augmented generation, LangChain, or AutoGen; ability to evaluate artificial intelligence model outputs for finance use cases and identify fit-for-purpose approaches by process.
  • Exposure to automation and integration design, including mapping integration touchpoints, assessing application programming interface-based workflow automation opportunities, and contributing to value case development.
  • Knowledge of low-code or no-code platforms in finance artificial intelligence programme design and an understanding of application programming interface middleware architectures.
  • Ability to manage project teams of 3–6 members, coach junior consultants, ensure delivery quality, and maintain client satisfaction throughout engagements.
  • Ability to contribute to practice asset development, including process frameworks, artificial intelligence use case playbooks, transition templates, and proposal content.
  • Professional and technical qualifications: CA, CPA, MBA Finance, B.Tech, B.E, or Bachelor's in Data Science; the posting specifies a Tier 1 institute.
  • Seven to eleven years of experience.

Responsibilities

  • Lead end-to-end process excellence workstreams, including current-state process mapping (levels 1–4), maturity assessments, gap analysis, and future-state 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 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 connecting finance subject matter experts with technical developers.
  • Evaluate artificial intelligence model outputs for finance use cases and identify suitable artificial intelligence approaches by process.
  • Map integration touchpoints, assess application programming interface-based workflow automation opportunities, and contribute to value case development.
  • Design finance artificial intelligence programme phases using low-code or no-code platforms.
  • Manage project teams of 3–6 members, coach junior consultants, ensure delivery quality, and maintain client satisfaction throughout the engagement lifecycle.
  • Develop practice assets such as process frameworks, artificial intelligence use case playbooks, transition templates, and proposal content.

Desired Qualifications

  • 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 artificial intelligence 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, and commentary drafting.
  • Hands-on experience with enterprise performance management or corporate performance management planning platforms such as Anaplan, Oracle EPM Cloud, Workday Adaptive, or SAP BPC/Analytics Cloud for budgeting, forecasting, and driver-based modelling.
  • Awareness of financial planning and analysis processes and taxonomy for at least one industry.

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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