Value Engineering

🔥 17 hours ago

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

💵 $200k - $230k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🖥 Software Engineer

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DDN

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1998

🤖 Artificial Intelligence

💰 $10M Funding Round on 2011-06

Artificial Intelligence • Data Center and Cloud Computing • High Performance Computing

DDN is a global leader in AI data intelligence solutions, providing high-performance computing and sophisticated data management technologies. With a focus on accelerating AI deployments and advanced data analytics, DDN's products, including the Data Intelligence Platform and advanced storage systems, serve diverse sectors such as healthcare, financial services, and government. DDN is committed to transforming enterprise data infrastructure to leverage the full potential of AI and drive operational efficiency.

📋 Description

• Develop value assessment methodologies for enterprise and AI infrastructure opportunities. • Create ROI, TCO, business case, and financial impact analyses. • Partner with Sales teams on strategic customer pursuits. • Conduct executive-level workshops focused on business outcomes. • Develop customer-specific value models and transformation roadmaps. • Create industry benchmarks and competitive economic analyses. • Support account planning and large deal strategies. • Build repeatable value engineering tools and frameworks.

🎯 Requirements

• Bachelor's degree in Business, Engineering, Finance, Economics, or related field. • 7+ years of experience in Value Engineering, Management Consulting, Sales Strategy, Technical Sales, or Financial Analysis. • Strong financial modeling and analytical skills. • Ability to communicate effectively with C-level executives. • Experience building ROI and TCO analyses. • Preferred Qualifications • Experience in enterprise technology, AI infrastructure, cloud, storage, or data management. • Experience leading similar global programs or operational initiatives. • Background in consulting firms or enterprise software vendors. • MBA preferred.