Build compelling ROI, TCO, and business case models for AI and data infrastructure investments.
Quantify the financial impact of AI infrastructure decisions, including improvements in productivity, utilization, performance, scalability, operational efficiency, and time-to-value.
Develop AI-specific value frameworks, methodologies, and tools that can be reused across customers, industries, and sales cycles.
Help customers understand the economics of AI, from experimentation and proof-of-concept through to production-scale deployment.
Partner with Product Marketing and Product teams to develop AI value messaging, customer proof points, and success metrics.
Build and maintain benchmarks, market intelligence, and competitive insights relating to AI infrastructure and economics.
Help establish and scale DDN’s AI Value Engineering Centre of Excellence.
Qualifications
5+ years of experience in Value Engineering, Management Consulting, Strategy, Solutions Consulting, Sales Engineering, or a similar customer-facing role.
Experience building ROI, TCO, financial models, and investment business cases.
Strong analytical skills, with the ability to turn complex data into a clear commercial story.
Excellent presentation and communication skills, particularly with senior executives.
Comfortable working across long, complex enterprise sales cycles and multiple stakeholders.
Ability to work across multiple countries and cultures in a fast-moving environment.
Bachelor’s degree in Business, Economics, Engineering, Computer Science, or a related discipline.
Preferred Qualifications
Understanding of AI/ML workloads and the infrastructure required to support them.
Experience working with enterprise customers on AI strategy, transformation, or technology investment decisions.
Fluent English; additional European language skills are a plus.
