Fin Ops Lead Technical Expert AI
Role Overview:
This is a senior hybrid role combining deep technical knowledge with financial governance, purpose-built to manage andoptimizethe growing costs of AI and cloud infrastructure. Youwill be at the center of technical cost efficiency effortsacross our multi-cloud environment (GCP, Azure) including the full platform stack: cloud infrastructure, AI/ML platforms, and associated API services.
Your mission is to reduce waste, improve cloudutilization, and embed automation into the cloud lifecycle. Youllcollaborate with Business IT teams andcentral infrastructure teamstosteer andimplement recommendations and continuously improve our cloud efficiency posture.

This is a high-impact technical role in a complex setting, where cost optimization needs to be pragmatic, stakeholder-aligned, and automation-driven.

Key Responsibilities:
AI Cost Management & Optimization: Monitor andoptimizecosts across the full AI/ML stack including GPU/TPU compute, model training, inference workloads,



and LLM API consumption Analyze cost and usage data across Iaa S, Paa S, and Saa S layers using tools such as Cloudability, Azure Advisor, and GCP Recommender Identifyand drive execution of cloud optimization actions, including: Rightsizing compute and storage resources Instance scheduling and automated shutdown policies Tiered storage strategies aligned to data access patterns Commitment-based savings (Savings Plans, Reserved Instances, CUDs) Spot/preemptible instance strategies for AI training workloads Identifysavings opportunities through model optimization techniques such as quantization, distillation, and batching strategies
Fin Ops Practice Leadership & Governance: Lead and mature the organization's Fin Ops culture, governance framework, and operating model across cloud and AI domains Define and enforce Fin Ops policies, standards, and cost accountability frameworks across all technical teams Drive adoption of cost-conscious practices across Bu

📌 Senior Associate (Hyderabad)
🏢 Deutsche Borse Group
📍 Hyderabad