Senior Technology Strategist

Senior Technology Strategist

Description -

Job Summary

As a senior member of HP’s Technology & Innovation Organization (TIO) Strategy team, you will independently lead the development and articulation of enterprise-level strategy that shapes HP’s future technology bets. This role sits at the intersection of AI, software, systems, and business strategy, responsible for sharpening HP’s long-term aspiration, informing where-to-play and how-to-win choices, and defining new growth opportunities across emerging technologies and strategic whitespace.
 

You will bring a uniquely blended background: hands-on experience working with AI, ML, or edge technology (either at a leading technology firm or high-velocity startup) combined with strong strategic problem framing, business planning, and executive-ready communication. You will connect the end-to-end chain from customer pain points to use cases to business model to technology stack, to shape HP’s next-generation roadmap and create clear, actionable business plans.
 

This is a high-impact, high-visibility role delivering insights and recommendations directly to HP’s executive leadership and Board.
 

Key Responsibilities

Strategic Insight & Opportunity Identification

• Lead structured outside-in analysis across emerging domains including GenAI, edge AI inferencing, multimodal capabilities, vertical-specific AI workflows, device-centric SW, and future compute platforms
• Identify, validate, and size new opportunity areas by triangulating customer needs, industry trends, competitive moves, and HP’s differentiated assets
• Conduct segmentation, TAM/SAM modeling, business model evaluation, and scenario planning for next-horizon bets

Business Planning & Strategic Choice-Making

• Independently build robust, data-driven business plans—including financial models, adoption forecasts, value chain analysis, pricing/monetization frameworks, and go-to-market implications
• Develop investment theses and strategic recommendations (build/partner/invest/acquire) including assessment of ecosystem dynamics and potential partners
• Translate customer jobs-to-be-done and pain points into technology requirements that shape TIO’s architecture and product roadmap

Technology & Ecosystem Integration

• Engage deeply with technical leaders to understand HP’s capabilities across AI/ML, compute systems, runtime optimization, model compression, device SW, cloud/edge hybrid architectures, and vertical workflows
• Build credible, technically informed perspectives on how emerging technologies (e.g., LLMs, multimodal, RAG, on-device inferencing, runtime optimization, edge data pipelines) unlock new business opportunities
• Maintain active engagement with startups, VCs, research labs, hyperscalers, and ecosystem partners to inform strategy and accelerate innovation

Executive Communication & Influence

• Develop crisp, compelling narratives for ELT and Board audiences—including framing, storyline, visualizations, and strategic implications
• Synthesize complex technical and market signals into clear, actionable choices for HP
• Influence cross-functional leaders across TIO, Business Units, and Corporate Strategy to drive alignment and execution

What Success Looks Like

• You independently build business cases and recommendations that directly shape HP’s technology roadmap and investment decisions
• You can “talk the talk” with senior technologists while also framing complex choices for non-technical executives
• You deliver clear, strategic narratives that are used in Board and ELT discussions
• You serve as a bridge between customer needs, HP’s technology stack, and commercial strategy
• You elevate the quality and pace of HP’s strategic decision-making in AI, software, and innovation

Key Skills & Capabilities

Strategic & Analytical Excellence

• Structured problem-solving with the ability to break down ambiguous spaces and drive clarity
• Strong market modeling (TAM/SAM), competitive intelligence, ecosystem mapping, and scenario planning
• Deep experience with business model design and monetization strategies in AI, edge, SaaS, developer tools, or platform technologies

Technical Depth (Must-Have)

• Prior hands-on experience in AI/ML, software engineering, data systems, runtime optimization, model compression, or adjacent technical domains
• Ability to understand architecture trade-offs and connect them to business value
• Fluency in emerging AI and software landscapes, including open-source ecosystems

Communication & Influence

• Exception