AI FinOps Analyst
Key Responsibilities
AI Platform Administration & Operations
- Oversee administration of enterprise-approved AI applications and platforms, including user onboarding, permissions management, license allocation, and system configuration.
- Act as the central resource for platform-related inquiries, troubleshooting efforts, escalation management, and coordination with third-party providers.
- Monitor platform performance, service availability, and operational effectiveness to ensure a seamless user experience.
- Maintain accurate records of platform inventories, subscriptions, contractual agreements, and supporting documentation.
Financial Management & Optimization
- Own financial oversight for enterprise AI solutions, including spend monitoring, usage analysis, forecasting, and cost allocation initiatives.
- Evaluate consumption trends and licensing utilization to identify opportunities for efficiency improvements and expense reduction.
- Partner with Finance teams on budgeting activities, invoice validation, accruals, forecasting exercises, and financial reporting.
- Lead efforts to optimize software investments through subscription rationalization, license recovery initiatives, and adoption-driven cost controls.
- Coordinate renewal negotiations, contract reviews, and pricing discussions with technology vendors.
Reporting & Analytics
- Create and maintain executive-level dashboards highlighting adoption trends, utilization metrics, cost performance, and business outcomes.
- Analyze platform data to generate actionable recommendations regarding usage patterns, value realization, and operational improvements.
- Deliver meaningful insights that help leadership assess ROI and measure the impact of AI-enabled initiatives.
- Establish KPIs and reporting standards that provide visibility into platform effectiveness and investment performance.
Governance & Compliance
- Support and enhance the organization's AI governance framework, ensuring adherence to internal policies, security standards, and regulatory requirements.
- Participate in the review, selection, implementation, and ongoing oversight of approved AI technologies and service providers.
- Maintain detailed, audit-ready documentation surrounding platform operations, governance activities, vendor relationships, and compliance controls.
- Monitor compliance with established policies, escalating risks, exceptions, or control deficiencies when identified.
- Collaborate with stakeholders across Technology, Risk, Compliance, Legal, Security, Procurement, and business functions to promote responsible AI adoption.
Desired Experience & Skills
- Strong proficiency with reporting and business intelligence tools such as Power BI, Excel, and similar analytics platforms.
- Working knowledge of SaaS subscription models, technology cost management methodologies, and FinOps best practices.
- Familiarity with modern enterprise AI environments and productivity platforms, including generative AI solutions and intelligent automation tools.
- Demonstrated experience managing technology vendors, software contracts, renewals, and commercial negotiations.
- Ability to evaluate software utilization data and develop recommendations that improve efficiency and reduce unnecessary spend.
- Experience administering enterprise software environments, including user access controls, entitlement management, and platform governance.
- Strong analytical and problem-solving capabilities with the ability to transform complex data into business-focused recommendations.
- Exceptional communication skills with the ability to explain technical, financial, and operational concepts to a broad audience.
- Proven ability to balance multiple priorities while working across cross-functional teams in a fast-paced environment.
Education & Professional Background
- Bachelor's degree in Business Administration, Finance, Accounting, Information Systems, Technology Management, or a related discipline required.
- Advanced degree or MBA preferred.
- Five or more years of experience in one or more of the following areas:
- Technology financial management
- FinOps
- IT operations
- SaaS administration
- Financial analysis
- Business operations
- Technology governance
FAQs
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