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S&C Global Network - AI - CFO & EV - FinOps Analytics - Associate Manager

S&C Global Network - AI - CFO & EV - FinOps Analytics - Associate Manager

ConfidentialBengaluru / Bangalore, India
11 days ago
Job description

Job Title - S&C Global Network - AI - CFO & EV - FinOps Analytics - Associate Manager

Management Level : 8-Associate Manager

Location : Bengaluru, BDC7C

Must-have skills : Financial Modeling

Good to have skills : Experience in financial modeling, valuation techniques, and deal structuring.

Job Summary

This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.

Roles & Responsibilities

Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.

What's In It for You

  • Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models.
  • Get to work with top financial clients globally
  • Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world's most recognizable companies.
  • Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You'll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation.

What You Would Do In This Role

Engagement Execution

  • Lead client engagements encompassing model development, validation, governance, strategy, transformation, and end-to-end delivery of FinOps & CFO agenda solutions for Accenture's clients.
  • Advise clients on various FinOps & CFO agenda initiatives, including advisory work for CXOs to achieve diverse business and operational outcomes.
  • Develop and present Proof of Concept for key clients, where applicable.
  • Practice Enablement

  • Mentor, coach, and guide analysts and consultants.
  • Drive innovations and initiatives to enhance the Practice.
  • Develop thought leadership and disseminate information on emerging trends in FinOps & CFO agenda.
  • Support sales team efforts by assisting with RFPs, RFI, designing POVs, and GTM collateral.
  • Professional & Technical Skills

  • Relevant experience in the required domain.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work in a fast-paced, dynamic environment.
  • Good experience with Data, Analytics, and AI technologies & tools - data-native mindset with a deep understanding of Statistics and generating insights and recommendations for business applications.
  • Must have functional expertise in FinOps including knowledge of processes like month-end close, ledger functioning, accounts payable, accounts receivable, internal controls Procure-to-Pay (P2P), Order-to-Cash (O2C), Cash Management.
  • Good to have experience CFO Agenda in Industry Analysis, Market Analysis, M&A Strategy, M&A Due Diligence, M&A Integration, Investment Strategy, Investor Relations, Shareholder Relations, Shareholder Value Maximization, Capital Allocation, Capital Structure Optimization, Cost Optimization, Cost Reduction, Cost Efficiency, Profit Maximization, Revenue Growth Strategies, Competitive Analysis, Economic Analysis, Business Valuation.
  • Must have led teams, driven interactions with senior stakeholders, designed AI-led transformation solutions, overseen program delivery, and value realization.
  • Must be part of prior solutioning and proposal deals.
  • Good to have hands-on experience in building and deployment of AI / ML / Statistical Models Statistical Algorithms, Segmentation and Predictive Modeling, ML algorithms, CV / NLP algorithms, Decision Trees, LLM based solutions etc.
  • Good to have experience in multiple industries.
  • Additional Information

  • Opportunity to work on innovative projects.
  • Career growth and leadership exposure.
  • About Our Company | Accenture

    Experience : 10-12Years

    Educational Qualification : Any Degree

    About Accenture

    We work with one shared purpose : to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces™.Join Accenture to work at the heart of change.

    Visit us at www.accenture.com

    Equal Employment Opportunity Statement

    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

    Accenture is committed to providing veteran employment opportunities to our service men and women.

    Skills Required

    Predictive Modeling, Internal Controls, Segmentation, Accounts Payable, Cash Management, Statistics, Financial Modeling, Decision Trees, Accounts Receivable, Statistical Algorithms, Data Analytics

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