FinOps & AI Optimisation SpecialistShape the Future of Technology Investment : As organisations accelerate their adoption of cloud technologies and AI-powered solutions, the need for strategic financial oversight has never been greater.ERM is seeking an experienced FinOps & AI Optimisation Specialist to lead the optimisation of cloud and AI investments, ensuring every dollar spent delivers measurable business value.This is a unique opportunity to sit at the intersection of finance, technology, procurement, and business strategy, influencing how cloud platforms and enterprise AI tools are governed, adopted, and optimized across a global organisation.If you are passionate about driving financial accountability, enabling innovation, and helping leaders make smarter technology investment decisions, we'd love to hear from you.Why This Role Matters : Cloud and AI technologies are transforming how organisations operate, innovate, and grow. As ERM continues to expand its digital capabilities, we need a trusted expert who can create visibility into technology spending, optimize costs, strengthen governance, and ensure investments generate real business outcomes.What Your Impact Is : - Drive measurable savings and efficiency improvements across cloud platforms and enterprise AI tools.- Increase financial transparency through robust cost allocation, reporting, and chargeback models.- Help business leaders make informed technology investment decisions through actionable insights and forecasting.- Establish governance frameworks that promote responsible and compliant AI adoption.- Partner with technical and business teams to create cost-aware technology solutions without compromising innovation.- Provide strategic recommendations to senior leaders on cloud, SaaS, and AI investments.- Strengthen organisational accountability by improving visibility into technology consumption, adoption, and business value.What You'll Bring : Required : - Bachelor's degree in Computer Science, Information Technology, Finance,



or a related quantitative discipline.- 5+ years of experience in FinOps, cloud cost management, technology financial management, or a related field.- Strong knowledge of AWS, Azure, and GCP platforms, including cloud billing and cost-management principles.- Experience implementing and managing FinOps practices, frameworks, and optimisation initiatives.- Demonstrated experience governing, monitoring, or optimising enterprise AI platforms such as Microsoft Copilot, Azure OpenAI, Claude Enterprise, ChatGPT Enterprise, or similar technologies.- Strong understanding of budgeting, forecasting, financial analysis, and cost modelling.- Experience using reporting and analytics tools such as Power BI, SQL, Excel, or similar platforms.- Excellent analytical, problem-solving, stakeholder management, and communication skills.- Ability to translate complex financial and technical concepts into clear business recommendations.- Experience influencing senior stakeholders and cross-functional teams without direct authority.Preferred : - FinOps Foundation certification (e.g., FinOps Certified Practitioner).- Experience with cloud cost-management tools such as CloudHealth, Apptio Cloudability, or equivalent solutions.- Knowledge of Technology Business Management (TBM) principles.- Experience developing governance frameworks for enterprise AI adoption and usage controls.- Experience within a consulting, professional services, or global matrix organisation.- Familiarity with data governance, privacy, security, and responsible AI practices.Key Responsibilities : - Lead the implementation and continuous improvement of FinOps practices across cloud and AI platforms.- Monitor, analyse,



and report on cloud and AI spending trends, identifying opportunities for optimisation and cost reduction.- Develop actionable insights on AI tool consumption, adoption, business value, and licensing efficiency.- Design and maintain transparent cost allocation and chargeback models that improve accountability across business units.- Partner with engineering and development teams to promote cost-efficient architecture and operational best practices.- Support compliance with data governance, privacy, security, and responsible AI policies.- Serve as the subject matter expert for FinOps and enterprise AI cost governance.- Develop and maintain processes for AI tool selection, approval, monitoring, and lifecycle management.- Establish controls to track approved AI tools, monitor adoption, manage spend, and identify unauthorised usage.- Collaborate with finance, procurement, technology leaders, and business stakeholders to improve cost transparency and decision-making.- Present spending insights, forecasts, risks, and optimisation opportunities to senior leadership and budget owners.- Support annual budgeting, forecasting, and long-term investment planning across cloud, SaaS, and AI platforms.- Stay informed on emerging trends in FinOps, cloud computing, and artificial intelligence, recommending innovative approaches that drive value.Influence & Decision-Making : - Build trust and credibility with senior leaders, technology teams, budget owners, and business stakeholders.- Influence strategic technology investment decisions through data-driven recommendations and financial insights.- Translate complex analyses into transparent, compelling business cases and actionable outcomes.- Recommend optimisation priorities, governance controls, and investment strategies that balance cost, risk, and value.- Escalate material cost, compliance, governance, or value-realisation concerns with clear evidence and practical solutions. (ref:hirist.tech)

📌 ERM - FinOps & AI Optimisation Specialist (India)
🏢 Erm
📍 India