FinOps Analytics
2 weeks ago
One of our clients a Top Tier 1 IT Services Company is looking to hire for a FinOps Analytics ( Financial Modeling) - Manager role.
Role: FinOps Analytics ( Financial Modeling)
Location-PAN INDIA
Experience - 10+yrs
Level - 7 Manager
Position type: Permanent
Note: Only Female candidates will be consider
Job Description:
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 the Company’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.
Who We Are Looking For?
Master’s degree in economics/statistics/mathematics/engineering or related discipline from premier institute; an MBA from a premier business-school is a plus.
10+ years of experience in Data & AI as a domain, with at least 5+ years of consulting and business development experience.
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.
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