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Sr. FinOps Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Hitachi Automotive Systems Americas, Inc.
Full Time position
Listed on 2026-07-26
Job specializations:
  • IT/Tech
    Systems Engineer, Data Engineering, Cloud Computing: Infrastructure & Operations, Data Analyst
Salary/Wage Range or Industry Benchmark: 70000 - 110000 GBP Yearly GBP 70000.00 110000.00 YEAR
Job Description & How to Apply Below
Position: Sr. FinOps Engineer (68022)
Location: Greater London

Function Cloud & Data Engineering Our Company We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next.

We make it happen through the power of acceleration.

Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.

Job description

Mandatory

Skills:

Certified from Fin Ops.org, Fin Ops for DC knowledge, DCIM, CMDB / asset DB, hypervisor metrics, power monitoring, contracts & licenses management

Role Description

Skills:

ROLE PURPOSE Deliver hands-on Fin Ops engineering for the organisation’s on-premises estate, working under the Fin Ops Architect to implement cost visibility, data integration, reporting, and optimisation initiatives following the Fin Ops.org framework. Serve as the primary onshore engineering resource who connects data sources, builds dashboards, analyses usage patterns, identifies savings, and supports governance processes. Collaborate with all Fin Ops personas to embed cost accountability into day-to-day operations.

As the onshore engineer, this role acts as the bridge between stakeholders (finance, engineering, operations) and the offshore engineering capacity, ensuring quality, context, and alignment with business priorities.

FINOPS SCOPE OF WORKThis role directly contributes to the following Fin Ops programme work streams, aligned to Fin Ops.org’s Inform, Optimise, and Operate lifecycle:

Cost Visibility — Gain full visibility of on-premises infrastructure, licensing, and operational costs by establishing comprehensive data collection and integration from identified sources

Data Source Identification & Setup — Identify, agree upon, and integrate all relevant cost data sources including CMDB, asset management, licensing portals, procurement systems, and infrastructure monitoring tools

FinOps Maturity Baselining — Assess current Fin Ops maturity against the Fin Ops.org maturity model (Crawl Walk Run), identifying gaps and opportunities across tagging, savings, and cost governance

Tagging & Allocation Gaps — Identify and remediate gaps in cost allocation, tagging, and labelling across on-premises assets to enable accurate chargeback, showback, and cost attribution

Savings Identification — Discover potential savings opportunities through licence optimisation, hardware rightsizing, capacity rebalancing, decommissioning, and vendor renegotiation

Cost Governance Gaps — Assess and strengthen cost governance processes including approval workflows, budget controls, anomaly detection, and policy enforcement

Data Normalisation — Normalise cost data from disparate sources into a unified cost model, enabling consistent reporting across business units, environments, and service categories

Usage, Pattern & Licence Analysis — Analyse infrastructure utilisation patterns, workload distribution, peak/off-peak trends, and software licence usage to identify waste and optimisation opportunities

Cost Modelling & Economics — Define unit economics, cost-per-service models, TCO calculations, and amortisation schedules for on-premises infrastructure to enable informed decision-making

Implementation Roadmap — Develop a prioritised roadmap of quick-wins (0–3 months), mid-term initiatives (3–6 months), and long-term transformations (6–12 months) based on value and feasibility

Reporting & Dashboards — Design and recommend live/near-real-time cost dashboards with drill-down capabilities, trend analysis, anomaly alerts, and executive reporting viewsFINOPS PERSONA COLLABORATION As defined by Fin Ops.org, this role works with all key Fin Ops personas:

Executives (CTO, CFO, CIO) — Present cost visibility dashboards, business cases for optimisation, and Fin Ops…
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