FinOps Architect

Function:
Cloud & Data Engineering

At Hitachi Digital Services we are a global digital solutions and transformation business, committed to future‑proofing urban spaces, conserving natural resources, protecting rainforests, and saving lives. This role involves leading the Fin Ops strategy across our on‑premises estate.

Mandatory

Skills:

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

• Own the end‑to‑end Fin Ops strategy and architecture for the organisation’s on‑premises estate, following the Fin Ops Foundation (Fin Ops.org) framework across the Inform, Optimise, and Operate lifecycle phases.
• Define the cost visibility strategy, establish the data model and governance framework, lead maturity assessments, and architect the reporting and dashboard ecosystem.
• Serve as the primary Fin Ops authority, engaging all Fin Ops personas – from executives and finance through engineering and operations – to build a culture of cost accountability and data‑driven infrastructure economics.
• Bridge the gap between financial management and engineering, translating on‑premises infrastructure complexity into clear cost models, unit economics, and actionable savings roadmaps.

• 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.
• Fin Ops 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 views.

• Executives (CTO, CFO, CIO) – Present cost visibility dashboards, business cases for optimisation, and Fin Ops maturity roadmaps to drive strategic investment decisions.
• Finance / Procurement – Collaborate on cost allocation models, chargeback/showback mechanisms, budgeting, forecasting, and vendor contract analysis for on‑premises licensing.
• Engineering / Dev Ops Teams – Partner on tagging strategies, resource utilisation analysis, rightsizing recommendations, and embedding cost‑awareness into engineering culture.
• Product Owners / Business Units – Provide unit economics and cost‑per‑service metrics to inform product decisions, capacity planning, and build‑vs‑buy analysis.
• IT Operations / Infrastructure – Work on data source integration, asset…