Tobi John OlabodeFinOps · Wales

01 — tobiolabode.tech · Wales

The billis a dataset.

Senior FinOps across Azure, AWS and GCP. I design the frameworks, the dashboards and the habits that turn a cloud bill into a decision — including the token economics of generative AI.

6+
Years in FinOps
33.3%
Cloud spend reduced
3
Clouds in practice
50+
Engineers trained

02 — Selected work

From the FinOps Hub

Dashboards, governance and the AWS practice before them. On a large screen, hover a card for the short version.

Showing 9 projects

  • 01Dashboards

    Multi-cloud executive dashboard

    Next · Azure & GCP

    £16.7m tracked · 26.17% ESR

    One view of executive cloud spend across subscriptions, services and commitment discounts. Effective cost set against realised savings — £8.35m recovered at 26.17% effective savings rate — down to resource group. Built in Power BI against Azure Cost Management and GCP Billing exports.

  • 02AI

    Azure AI cost tracker

    Next · Azure OpenAI

    3.6bn tokens a month

    Daily cost for Azure AI and ML services, with tokens and calls beside the bill. Department, environment and month filters so owners can see model economics as usage scales. Critical as generative AI workloads move from experiments to production spend.

  • 03Dashboards

    GCP cost and discount ratios

    Next · GCP

    £1.45m year to date

    Year-to-date GCP spend across billing accounts, with cost-to-discount ratios by project, environment and service. Built to show which committed use discounts are actually earning their keep — filterable by department, environment and service description.

  • 04Dashboards

    Daily anomaly watch

    Next · FinOps Hub

    30-day rolling baseline · 15+ business units

    Yesterday’s spend against a 30-day baseline, stacked by department. Drill from product to subscription, environment and resource group before a spike becomes a month-end story. Replaced the manual daily pack and cut reporting time by 80%.

  • 05Governance

    Tags, policy and showback

    Next & Taylor & Eyre

    95% allocation accuracy

    At Taylor & Eyre, tagging policies and service control policies lifted allocation accuracy to 95%. At Next, product tags and showback give shared platforms an owner instead of a communal bill.

  • 06Automation

    A quarter less waste

    Taylor & Eyre · AWS

    25% less waste · 80% less manual reporting

    Right-sizing, idle cleanup and savings plans, plus shutdown scripts that took about 30% out of non-production. A Python system on AWS APIs retired most of the hand-built reporting pack.

  • 07Open source

    Shadow Cost detector

    Open source · Azure

    Beyond advisor-green

    Tooling for the spend native advisors leave looking healthy: orphaned resources and quiet waste inside a complex Azure estate. Written to plug into a FinOps workflow, not replace it.

    View on GitHub
  • 08Community

    FinOps for data cloud platforms

    FinOps Foundation · June 2026

    Named contributor · FinOps Foundation

    Named in the acknowledgments of the FinOps Foundation's practical scenarios paper for data-cloud cost governance. Scenarios cover idle spend, tagging, query-level attribution, anomaly response, and chargeback — written for Snowflake, designed to carry to Databricks, Fabric, BigQuery, and Redshift.

    Read on FinOps.org
  • 09Writing

    The cloud bill is a dataset

    Medium · 2026

    FOCUS, AI, unit cost

    Why multi-cloud cost is a data problem — normalisation, the FOCUS spec, and the unit economics of generative AI — from someone who learned ledgers before billing exports.

    Read on Medium

03 — About

About

Tobi John Olabode
A green advisor is not the same thing as a clean bill.

Based in Wales, United Kingdom.

I work between a cloud bill and the people who can change it. At Next that has meant standing up FinOps from a blank page: policy, product tagging, showback, and a hub of monthly, daily and AI cost views that domain managers actually open.

Before that, at Taylor & Eyre, the estate was AWS. Cloud waste came down by a quarter. A Python reporting system retired most of the manual pack. Tagging and service control policies made allocation something finance could trust.

The years before cloud were in banking — at FBNQuest, leading a team of six through equity trades, reconciliation, and MiFID II compliance at 99%+ accuracy. The discipline of a figure that has to survive audit. An MSc in Data Science at Cardiff is why I treat the bill as a dataset, not a spreadsheet that happens to be large. The same habit now covers generative AI: tokens, models, and who owns the cost. In 2026, named contributor to the FinOps Foundation working group on practical scenarios for data-cloud cost.

  1. Oct 2025 — Present

    Next Retail Limited

    Senior FinOps Analyst

    Azure & GCP. FinOps Hub, tagging, showback, and the practice built from a blank page.

  2. Nov 2022 — Apr 2025

    Taylor & Eyre Limited

    FinOps Engineer

    AWS. Waste, savings plans, tagging, SCPs, and the reporting that replaced the manual pack.

  3. Feb 2019 — Sep 2022

    FBNQuest Merchant Bank

    Senior Transaction Analyst

    Led a team of six through equity trades, reconciliation, and MiFID II compliance at 99%+ accuracy. The practice where a figure has to survive audit before it leaves the desk.

Education

MSc Data Science & Analytics

Cardiff University

B.Tech Management & Accounting

Ladoke Akintola University of Technology

Membership

Operational Research Society

Candidate Associate · No. 65050

04 — Skills

What the practice is made of

  • 01

    FinOps

    • Framework design
    • Forecasting and budgets
    • Showback and chargeback
    • Right-sizing
    • Waste elimination
    • Maturity assessments
    • FOCUS-aligned cost data
  • 02

    Platforms

    • Azure — expert
    • AWS — expert
    • GCP — proficient
    • Savings plans, RIs, CUDs
    • SCPs and policy
    • Apptio and CloudHealth
  • 03

    Automation

    • Python
    • Terraform and IaC
    • PowerShell
    • Bash and Linux
    • Power BI and SQL
    • Anomaly detection
  • 04

    AI cost

    • Token economics
    • Model tiering
    • LLM showback
    • Azure OpenAI cost
    • Unit cost of AI
    • GreenOps for AI

Credentials

  • FinOps Certified Practitioner — FinOps Foundation
  • AWS Cloud Practitioner — AWS Cloud Quest
  • AWS Machine Learning Foundations & Introduction to Generative AI — AWS
  • Cloud GreenOps for AI — Greenpixie
  • Generative AI with AWS — Udacity

05 — Contact

A short note is enough.

The form opens a draft in your mail app. Nothing is stored on this site.

tobijohnolabode@gmail.com