VP Data Center Platforms, Solutions and Strategies

VP Data Center Platforms, Solutions and Strategies 

About Submer 

Submer enables organizations scaling AI to overcome the limits of traditional datacenters across power, compute density and efficiency. 

We design and deliver scalable, high-density AI datacenter infrastructure built around industry-leading liquid cooling, supporting everything from early AI deployments to full-scale production environments. 

Acting as a full-stack delivery partner, Submer provides advisory, design, build and IT integration through a single point of accountability, working with a deep ecosystem of technology specialists. This end-to-end approach accelerates time-to-AI while reducing operational cost, complexity and environmental impact. 

 

What impact you will have 

The Senior Director, Data Center Platforms, Solutions and Strategies will define and scale the company’s portfolio of modular and traditional data-center solutions for AI factories. This leader will translate market demand, AI workload requirements, customer needs, and technology trends into differentiated, commercially viable, and deployable data-center platforms. 

This role connects product management, solution architecture, commercial strategy, engineering, manufacturing, supply chain, and global deployment. The successful candidate will establish standardized yet configurable offerings across prefabricated/modular and site-built data centers, with particular emphasis on high-density AI and HPC workloads, accelerated deployment, power availability, liquid cooling, resiliency, and total cost of ownership. 

The ideal leader is equal parts product strategist, data-center technologist, commercial operator, and delivery executive. They can engage a customer on AI capacity, rack density, cooling strategy, and time-to-market; work with engineering on reference architecture and product requirements; challenge operations on cost and delivery readiness; and present a clear investment case to the executive team. 

What you’ll do 

Platform strategy 

• Define the global product and platform strategy for AI-factory data centers, including modular, prefabricated, hybrid, and traditional site-built solutions. 

• Establish a clear portfolio architecture that balances standardized building blocks with customer-specific configurability. 

• Develop solution roadmaps for AI-ready white space, power systems, cooling plants, liquid cooling, controls, network/IT integration, deployment services, and lifecycle offerings. 

• Identify priority market segments, including hyperscale’s, cloud, neocloud and GPU-as-a-service providers, sovereign AI, enterprise AI, telecommunications, research/HPC, and edge deployments. 

• Convert customer, market, regulatory, technology, and competitive inputs into quantified product requirements and investment priorities. 

• Define platform differentiation around deployment speed, capacity density, energy efficiency, water use, resilience, scalability, operability, and lifecycle economics. 

Solutions and architecture 

• Lead the definition of repeatable reference architectures for AI factories, from campus and facility design through modular deployment units and integrated infrastructure systems. 

• Ensure platforms can accommodate evolving compute densities, GPU roadmaps, rack power requirements, direct-to-chip liquid cooling, rear-door heat exchangers, and other advanced thermal-management approaches. 

• Partner with engineering teams to define product requirements, technical specifications, performance thresholds, validation plans, and acceptance criteria. 

• Guide the tradeoffs between standardized platforms and bespoke customer designs, protecting manufacturability, margin, delivery certainty, and long-term product scalability. 

• Create a modularity strategy that defines what is standardized, configurable, factory-built, site-assembled, or custom-engineered. 

• Establish solution documentation, design rules, configuration tools, and reference designs that enable consistent sales, engineering, procurement, manufacturing, and deployment execution. 

Commercial strategy and pricing 

• Own the commercial framework for data-center platforms, including pricing architecture, configuration logic, target margins, cost-to-serve assumptions, and value-based positioning. 

• Develop business cases for new platform investments, product variants, strategic partnerships, manufacturing capacity, and geographic expansion. 

• Partner with Sales, Finance, and Operations to create pricing tools, quote governance, deal-review processes, and profitability guardrails. 

• Define lifecycle revenue opportunities, including commissioning, operations support, maintenance, retrofit, capacity expansion, spares, warranty, and service agreements. 

• Analyze competitive offerings, customer buying criteria, market pricing, and total-cost-of-ownership models to strengthen the company’s commercial position. 

• Support strategic pursuits and executive customer engagements by articulating the business and technical value of the company’s platforms. 

Delivery and industrialization 

• Partner with Global Delivery, Construction, Manufacturing, Supply Chain, and Quality leaders to ensure products can be delivered safely, predictably, and profitably at scale. 

• Translate product roadmaps into industrialization plans, including make-versus-buy decisions, supplier strategies, factory capacity, quality controls, and lead-time reduction initiatives. 

• Establish delivery-ready standards for design release, procurement, factory acceptance testing, shipping, site integration, commissioning, and customer handover. 

• Lead cross-functional post-project reviews to identify recurring cost, schedule, quality, and customer-experience issues and incorporate lessons into future platform releases. 

• Drive product simplification and design-to-cost initiatives that improve speed, margin, quality, and global scalability.