IT FinOps Analyst

HFG Insurance Recruitment

Kuala Lumpur

Hybrid

MYR 240,000 - 360,000

Full time

13 hours ago
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Job summary

HFG Insurance Recruitment is seeking an experienced Hybrid FinOps Manager to lead our infrastructure financial operations across a diverse landscape. You will unify CapEx and OpEx perspectives into a single view of IT spend.

The role requires building TCO models, budgeting and forecasting, vendor negotiations, and cost optimization across cloud and on-premise environments. You will partner with DevOps, Engineering, Finance and Leadership to drive accountability and informed decisions.

Qualifications

  • 5+ years in IT Finance, Cloud Ops or FinOps, with hybrid exposure.
  • Deep knowledge of pricing models for major cloud providers (AWS/Azure/GCP).
  • Understanding of data center economics, depreciation, and facilities costs.
  • Strong accounting basics: CapEx vs OpEx, depreciation, EBITDA impact.
  • Familiarity with FinOps/ITFM tools and BI platforms.

Responsibilities

  • Lead cost optimization across public cloud, private cloud and on-prem data centers.
  • Develop and maintain a Total Cost of Ownership (TCO) model.
  • Own budgeting and monthly forecasting for infrastructure spend.
  • Drive cost governance, dashboards and accountability across engineering teams.

Skills

FinOps
Cloud cost optimization
TCO modeling
Budgeting & forecasting
Vendor negotiations
SQL & BI

Education

Bachelor's degree in IT/Finance

Tools

Apptio
Cloudability
Kubecost
Tableau
PowerBI
CloudWatch

Job description

We are seeking an experienced Hybrid FinOps Manager to lead our infrastructure financial operations across a diverse infrastructure landscape. In this role, you will be responsible for unifying cost management strategies for our public cloud (AWS, Oracle etc), private cloud, and traditional on-premise data centers. You will bridge the gap between DevOps, Engineering, Finance, and Leadership, moving beyond simple cost reporting to drive culture change, financial accountability, and unit economics optimization. You will effectively translate "CapEx" (on-prem) and "OpEx" (public cloud) models into a single, cohesive view of IT spend.

  • Lead strategic assessments of existing IT infrastructure, identifying cost optimization opportunities across data centers, networks, servers, storage, and cloud platforms.
  • Evaluate and recommend vendor platforms and solutions, overseeing due diligence, RFPs, and contract negotiations as needed. Monitor technology trends and regulatory developments to assess their impact on infrastructure strategy.
  • Build robust business cases, including ROI, TCO, and risk analyses, to support strategic investments.
  • Lead the annual budgeting and monthly forecasting process for all infrastructure, accounting for cloud usage growth, hardware amortization cycles, and software licensing renewals.
  • Develop and maintain a Total Cost of Ownership (TCO) model that normalizes costs across public cloud (variable OpEx) and on-premise infrastructure (fixed CapEx, depreciation, power, cooling, licensing).
  • Define and enforce policies for workload placement—determining financially optimal locations for applications (e.g., "burst to cloud" vs. "steady-state on-prem").
  • Manage commitment-based discounts (Savings Plans, Reserved Instances, EDPs) across multiple cloud providers.
  • Identify and remediate waste (idle resources, orphaned volumes, legacy snapshots) and drive rightsizing initiatives with engineering teams.
  • Monitor Kubernetes/container, Iaas and trad infra costs to ensure accurate allocation of shared cluster resources to specific products or teams.
  • Calculate the "fully loaded" cost of on-premise compute and storage (e.g., cost per vCPU, cost per TB) to allow for apples-to-apples comparison with public cloud rates.
  • Capacity Planning and Collaborate with infrastructure teams to optimize hardware utilization rates, delaying unnecessary hardware purchases through better efficiency.
  • Analyze maintenance vs. refresh costs to determine the optimal time to retire or migrate aging on-premise hardware.
  • Enforce a global tagging and allocation strategy that works across both cloud resources and on-premise assets (e.g., mapping server and compute to business units).
  • Deliver actionable dashboards that show engineering teams their spend in near real-time, regardless of where the workload runs.
  • Act as a cultural evangelist, training engineering teams on cost-aware architecture and helping Finance understand technical drivers of spend.
  • Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.
  • Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.
  • Highlights any potential concerns /risks and proactively shares best risk management practices.
Requirement
  • Possesses 5 or more years’ experience in IT Finance, Cloud Operations, or FinOps, with specific exposure to hybrid environments.
  • Deep knowledge of pricing models and billing mechanisms for at least one major provider (AWS, Azure, or GCP).
  • Understanding of data center economics, including hardware depreciation schedules, virtualization (VMware) licensing, and facilities costs.
  • Strong grasp of accounting principles (CapEx vs. OpEx, amortization, EBITDA impact).
  • Proficiency with FinOps/ITFM tools (e.g., Apptio, Cloudability, CloudHealth, Kubecost) and native cloud cost consoles.
  • Advanced Excel/Google Sheets skills; experience with BI tools (Tableau, PowerBI) and SQL is highly preferred.
  • Basic understanding of Python or scripting to automate data extraction from APIs is a plus.
  • Ability to negotiate agreements with software and hardware vendors.
  • Ability to explain complex technical costs to Finance and complex financial constraints to Engineers.
  • Certifications such as FinOps Certified Practitioner (FOCP), AWS Cloud Practitioner & ITIL 4 Foundation (specifically Service Financial Management).
  • Key Performance Indicators (KPIs) Forecast Accuracy: Variance between forecasted spend and actual spend (Target: <5%).
  • Unit Cost Trends: Reduction in cost per transaction/customer/widget over time.
  • Resource Utilization: Improvement in average CPU/Memory utilization in private cloud/on-prem clusters & public clouds.
  • Allocation %: Percentage of total IT spend successfully allocated to specific business units or products (Target: >90%).
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