Senior Manager – FinOps, AI Consumption

Jobtailor

California (MO)

On-site

USD 120,000 - 160,000

Full time

11 days ago

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Job summary

Jobtailor seeks a senior FinOps professional to own cost governance, forecasting, and chargeback across our cloud estate. You will optimize rightsizing, reserved capacity, and vendor rates as usage grows, linking costs to business units and matters through tagging standards.

You will build models for AI provider costs (OpenAI, Azure AI, Copilot, Harvey, Anthropic) and track cost-per-workflow for AI-enabled work, guiding pricing decisions with Finance and Pricing teams.

Qualifications

Bachelor’s degree or equivalent with related experience in FinOps or cloud finance.
7+ years in FinOps, cloud financial management, or technology finance.
FOCP certification or willingness to obtain within 180 days.
Hands-on with at least one major cloud cost management platform; multi-cloud preferred.
Knowledge of AI/LLM pricing structures and fast learning curve for pricing changes.
Strong financial modeling and cross-functional collaboration with Finance and Pricing.

Responsibilities

Own cost governance, forecasting, and chargeback across cloud estate.
Manage rightsizing, reserved-capacity, and vendor rate optimization as usage grows.
Establish tagging and attribution standards linking costs to business units and matters.
Build models of token and inference cost across AI providers and platforms.
Track cost-per-workflow and cost-per-matter for AI-enabled work by model and volume.
Advise on cost implications of model selection and workflow design.
Partner with Pricing to translate cost data into pricing inputs and contracts.
Set budget guardrails and consumption thresholds for AI usage.
Represent cost considerations in vendor negotiations and renewals.
Provide scenario modeling to inform pricing decisions with Pricing and Finance.
Lead reporting, recruitment, and change-management to improve workflows.
Set priorities and delegate efficiently; travel to other offices as needed.

Skills

FinOps

Cloud Cost Mgmt

Financial Modeling

Pricing Strategy

Vendor Negotiation

Multi-Cloud

Cost Attribution

Analytical Skills

Education

Bachelor's degree in related field

Tools

Azure Cost Management

AWS Cost Explorer

GCP Billing

Microsoft Office

AI Providers

Job description

Own cost governance, forecasting, and chargeback, if implemented, across the firm’s full cloud estate
Manage rightsizing, reserved/committed-use capacity, and vendor rate optimization as cloud usage grows
Establish tagging and attribution standards linking costs to business unit, practice group, and eventually matter
Build and maintain models of token and inference cost across AI providers and platforms including Harvey, Copilot, Microsoft Legal Agent, Azure AI, OpenAI, Anthropic, and future platforms
Track cost-per-workflow and cost-per-matter for AI-enabled work by model, task type, and consumption volume
Maintain current knowledge of AI model cost structures, context-window pricing, agent/tool-call cost multipliers, and cost/performance tradeoffs
Advise on cost implications of model selection and workflow design
Monitor evolving vendor pricing models, including token-based, seat-based, and hybrid models, and assess cost exposure as usage scales
Partner with Pricing to translate workflow- and matter-level AI cost data into service-pricing, AFA, and consumption-based contract inputs
Support review of contract and consumption models as the firm evaluates usage-based pricing structures
Provide Pricing and Finance with scenario modeling to inform pricing decisions
Establish budget guardrails and consumption thresholds for AI usage across practice groups
Represent cost and consumption considerations in vendor negotiations and contract renewals
Perform other duties as assigned or required to meet Firm goals and objectives
Manage direct-report processes involving performance appraisals, compensation, goal setting, and performance counseling
Analyze operational budgets and staffing levels and participate in recruitment
Implement change processes to improve workflow efficiencies
Set priorities and delegate efficiently

Requirements

Bachelor’s degree in a related field; an equivalent combination of education and/or experience may be considered in lieu of the degree when the experience has been directly related to the functions of the job
7+ years in FinOps, cloud financial management, or technology finance
FinOps Certified Practitioner (FOCP) required or willingness to obtain within the first 180 days
Hands-on experience with at least one major cloud cost management platform (Azure Cost Management, AWS Cost Explorer, GCP Billing); multi-cloud experience preferred
Working knowledge of how AI/LLM providers price and bill consumption, or clear evidence of the technical aptitude to build that fluency quickly
Hands on exposure to AI platform costs, such as Copilot, OpenAI, Anthropic, or Azure AI
Strong financial modeling skills and comfort building scenario models
Proven ability to work cross-functionally with Finance and Pricing teams, translating technical cost data into commercially usable terms
Proficiency in Microsoft Office products
Strong written and verbal communication skills
Ability to work in a diverse team environment and effectively support the demanding needs of the Firm
Ability to work under pressure and meet deadlines with shifting priorities
Self-starter with a high level of initiative
Strong customer service skills, ability to anticipate needs and exercise independent judgment
Strong attention to detail and organizational skills; ability to handle multiple projects
Maintains confidentiality and exercises discretion
Strategic thinking and problem-solving skills
Demonstrated leadership and supervisory experience
Operational budget analysis and recommendations
Experience determining and implementing change processes to improve workflow efficiencies
Strong leadership and project management skills
Ability to set priorities and delegate efficiently
May require travel to other offices as needed

Core Competencies

Demonstrates expertise in cloud financial management, including cost governance, forecasting, and vendor rate optimization. Proficient in financial modeling and translating technical cost data into actionable insights for pricing strategies.

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