FinOps Lead
⚲ Krakow
Do uzgodnienia
Wymagania
- Program Management
- strategy
- Governance
- Use Cases
- Financial Services
- Financial Management
- Artificial Intelligence (AI)
- Cloud
- Risk Management
- Microsoft Azure
Opis stanowiska
Summary: The FinOps Lead will play a crucial role in shaping the AI strategy, ensuring operational governance and maximizing the value of AI investments while maintaining controls and accountability.
Responsibilities:
• Lead the FinOps strategy for AI consumption across the organization.
• Develop governance frameworks for AI usage.
• Analyze AI usage across platforms utilizing Tokenomics capability.
• Partner with Technology teams to evaluate AI infrastructure costs.
• Assess the commercial effectiveness of AI use cases.
• Offer recommendations on build vs buy and automation.
• Support AI adoption strategies ensuring responsible and effective use.
• Collaborate with various stakeholders to define AI operating models.
• Establish reporting, dashboards, and KPIs for AI consumption.
• Drive discussions on AI investment decisions and optimization.
• Ensure controls for responsible use of Generative AI technologies.
Key Requirements:
• Experience in senior FinOps, Technology Finance, or Commercial Management roles.
• Understanding of cloud financial management and cost optimization.
• Experience within large, complex organizations.
• Ability to engage and influence senior stakeholders.
• Strong commercial acumen.
• Experience developing governance frameworks or financial controls.
• Excellent analytical skills.
Nice to Have:
• Experience with AI or Generative AI programs.
• Understanding of AI consumption models.
• Familiarity with enterprise AI platforms.
• Knowledge of AI governance and risk management principles.
• Experience implementing Cloud FinOps practices in Azure, AWS, or Google Cloud.
• Experience with AI usage analytics or consumption reporting platforms.
• Experience in financial services or regulated industries.
Responsibilities:
• Lead the FinOps strategy for AI consumption across the organization.
• Develop governance frameworks for AI usage.
• Analyze AI usage across platforms utilizing Tokenomics capability.
• Partner with Technology teams to evaluate AI infrastructure costs.
• Assess the commercial effectiveness of AI use cases.
• Offer recommendations on build vs buy and automation.
• Support AI adoption strategies ensuring responsible and effective use.
• Collaborate with various stakeholders to define AI operating models.
• Establish reporting, dashboards, and KPIs for AI consumption.
• Drive discussions on AI investment decisions and optimization.
• Ensure controls for responsible use of Generative AI technologies.
Key Requirements:
• Experience in senior FinOps, Technology Finance, or Commercial Management roles.
• Understanding of cloud financial management and cost optimization.
• Experience within large, complex organizations.
• Ability to engage and influence senior stakeholders.
• Strong commercial acumen.
• Experience developing governance frameworks or financial controls.
• Excellent analytical skills.
Nice to Have:
• Experience with AI or Generative AI programs.
• Understanding of AI consumption models.
• Familiarity with enterprise AI platforms.
• Knowledge of AI governance and risk management principles.
• Experience implementing Cloud FinOps practices in Azure, AWS, or Google Cloud.
• Experience with AI usage analytics or consumption reporting platforms.
• Experience in financial services or regulated industries.
🔍 Dekoder Ogłoszenia
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play a crucial role in shaping the AI strategy
Będziesz miał duży wpływ na kierunek rozwoju AI, ale prawdopodobnie będziesz musiał przekonać wiele osób do swoich pomysłów.
🔴
maximizing the value of AI investments while maintaining controls and accountability
Twoim zadaniem będzie znalezienie złotego środka między szybkim wdrażaniem AI a pilnowaniem budżetu i bezpieczeństwa.
🔴
Analyze AI usage across platforms utilizing Tokenomics capability
Będziesz musiał zrozumieć i analizować sposób wykorzystania AI, prawdopodobnie w kontekście kosztów i limitów, które mogą być powiązane z tokenami.
🟡
Offer recommendations on build vs buy and automation
Oczekuje się od Ciebie strategicznego podejścia do wyboru między tworzeniem własnych rozwiązań AI a korzystaniem z gotowych, a także automatyzacją procesów.
🟡
Drive discussions on AI investment decisions and optimization
Będziesz aktywnie uczestniczyć w procesie decyzyjnym dotyczącym wydatków na AI i szukać sposobów na ich optymalizację.