FinOps & AI Optimisation Specialist

Shape 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 clear, 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.